I'm looking for a job. I exported this list from FewerJobs.com - a curated job board. Please: 1. Rank these jobs by fit for me, given my resume / skills. 2. Highlight the top 5 with a one-sentence rationale each. 3. Flag any concerns, including benefit values without source-backed evidence. 4. Suggest one or two filter changes I could make on FewerJobs to find more good matches. Filters I applied: - q: Waymo - quality_floor: default - match_401k_strict: true - parental_strict: true - non_birth_strict: true - pto_strict: true - include_older: false - apply_url_verified: false - page: 3 - per_page: 100 - sort: relevance Jobs (100 total): --- TITLE: Senior Technical Program Manager, Resource Management EMPLOYER: Waymo LOCATION: San Francisco, CA, USA; Mountain View, CA, USA; Kirkland, WA, USA; New York City, NY, USA (unspecified) SALARY: $196K-$242K POSTED: 2026-04-30 PARENTAL_LEAVE_WEEKS: 28 (not source-backed) K401_MATCH: yes (not source-backed) APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7863262 EXCERPT: Senior Technical Program Manager, Resource Management San Francisco, CA, USA; Mountain View, CA, USA; Kirkland, WA, USA; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Technical Program Managers are accountable for Waymo's roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies. As a Technical Program Manager for Resource Management, you will be a key individual contributor focused on the operational execution of capacity and resource management for Waymo's vital compute and storage infrastructure. You will drive tactical resource allocation, support long-term planning, and collaborate closely with partners --- TITLE: Staff Hardware Engineer, Charging Systems EMPLOYER: Waymo LOCATION: Mountain View, CA, US (unspecified) SALARY: $230K-$284K POSTED: 2026-05-01 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7872767 EXCERPT: Staff Hardware Engineer, Charging Systems Mountain View, CA, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and reports to a Hardware Engineering Lead. You will: - Architect, specify, and configure high power chargers for Waymo depots - Validate charger system requirements and specifications - Design and execute validation tests to confirm charger performance and reliability - Debug and triage charger failures from the field - Evaluate and select new charger hardware architectures and technologies You have: - BS or MS degree in Electrical Engineering, --- TITLE: Senior Staff Technical Lead Manager, Perception Optimization EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $298K-$368K POSTED: 2025-12-26 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7495240 EXCERPT: Senior Staff Technical Lead Manager, Perception Optimization Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically --- TITLE: Safety Documentation - Regulatory Permits EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $168K-$207K POSTED: 2026-05-22 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7951884 EXCERPT: Safety Documentation - Regulatory Permits Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations. In this hybrid role, you will report to the Head of Safety Management. You will: - Bespoke Documentation Management: Tailor, specialize, and draft safety documentation required for bespoke regulatory submissions and permits across both domestic and international markets. - --- TITLE: Business Systems Lead - Insurance & Operations EMPLOYER: Waymo LOCATION: Mountain View, CA (unspecified) SALARY: $200K-$247K POSTED: 2026-05-04 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7859141 EXCERPT: Business Systems Lead - Insurance & Operations Mountain View, CA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. In this hybrid role, you will report to Sr Manager Supply Chain, GTM & Data Intelligence Systems You will: - Own the comprehensive technology strategy and define the solution roadmap across the entire portfolio: Operations and Insurance, ensuring a phased implementation approach aligned with strategic business objectives. - Manage the full system lifecycle, including the setup, advanced integration, configuration, and continuous operational support of core platforms such as Risk and Insurance systems (e.g., Origami and TPA), LMS/Content management --- TITLE: Global Supply Manager EMPLOYER: Waymo LOCATION: Taipei, Taiwan (unspecified) SALARY: Not disclosed POSTED: 2026-04-13 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7801605 EXCERPT: Global Supply Manager Taipei, Taiwan Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Supply Chain and Manufacturing teams are making the technology of the future a reality. We handle all production processes and supplier development strategies: from contracts and purchasing, to designs for improved manufacturing, through quality control and delivery. We collaborate actively with Waymo engineering teams as well as external suppliers and partners to make sure everything is built to spec and delivered on time to meet the rising demands of our business. You will: - Develop and lead the overall Sourcing Strategy for your area of ownership, including: Identify, develop, negotiate and manage existing and further development of manufacturing partners, both for short term prototyping and long term serial production. - Work across a variety of industries including (but not limited to) injection molding, CNC machining, die casting, sheet metal, optics, paints/finishing, and sub-assemblies. --- TITLE: Tech Lead Manager, Backend EMPLOYER: Waymo LOCATION: Warsaw, Masovian Voivodeship (unspecified) SALARY: Not disclosed POSTED: 2026-01-17 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7527054 EXCERPT: Tech Lead Manager, Backend Warsaw, Masovian Voivodeship Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The RO Performance team is at the heart of understanding and improving Waymo's self-driving technology. We build and maintain the critical infrastructure, to process and analyze vast amounts of data from both real-world driving logs and simulations. Our systems generate key metrics and power dashboards which are essential for tracking the product performance, identifying areas for improvement, and making data-driven decisions. The insights produced by our team directly influence Waymo's operational rollouts, weekly performance reviews, and ultimately, the safety and reliability of our autonomous vehicles. In this hybrid role, you will report to an Staff Software Engineer. You will: - Technical Leadership & Strategy: Define the roadmap for high-performance, low-latency pipelines that bridge massive-scale simulation with real-world monitoring. - Team Management & Mentorship: Grow and develop a team of engineers, fostering a --- TITLE: Technical Lead Manager, Planner Tech EMPLOYER: Waymo LOCATION: Mountain View, California, USA; San Francisco, California, USA (unspecified) SALARY: $238K-$302K POSTED: 2025-12-11 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7460470 EXCERPT: Technical Lead Manager, Planner Tech Mountain View, California, USA; San Francisco, California, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. In this hybrid role you will report to a Technical Lead Manager, Senior Staff Engineer. You will: - Provide technical leadership for onboard motion planning systems that improve low-speed maneuvering performance. - Improve evaluation capabilities to better understand on-road performance. - Provide mentorship for --- TITLE: Technical Lead Manager, Prediction & Planning, Machine Learning Eval EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $251K-$310K POSTED: 2026-05-28 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7963516 EXCERPT: Technical Lead Manager, Prediction & Planning, Machine Learning Eval Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. We have an exciting opportunity for a Staff Technical Lead Manager to lead our ML Evaluation team. In this role, you will define the strategic vision for our evaluation platforms, scaling the critical infrastructure and metrics required, and partner closely with the modeling teams to rigorously validate our next-generation deep neural networks and accelerate ML developer velocity across PrePlan. You will: - Influence the --- TITLE: Senior Machine Learning Engineer / London (UK-LON-40BR) / Simulation (7XW) EMPLOYER: Waymo LOCATION: London, UK (unspecified) SALARY: GBP 123K-129K POSTED: 2026-06-01 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7961704 EXCERPT: Senior Machine Learning Engineer / London (UK-LON-40BR) / Simulation (7XW) London, UK Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather. To increase the fidelity and steerability of the simulations, we employ large foundation models, trained on our massive datasets that allow us to quickly setup and rollout multiple scenarios to subject our driver to. We have set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products. We are looking for research engineers to work on these exciting problems. In this hybrid role, you will --- TITLE: Software Engineer, Fleet Monitoring EMPLOYER: Waymo LOCATION: San Francisco, CA; Mountain View, CA (unspecified) SALARY: $175K-$215K POSTED: 2026-05-18 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7939542 EXCERPT: Software Engineer, Fleet Monitoring San Francisco, CA; Mountain View, CA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You will: - Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. - Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets. - Solve hard real-world problems related to Waymo Fleet Monitoring and building reusable platform functionalities.. - Collaborate with Product, UX, and other engineers to design and develop internal user-facing products. - Ship solutions to novel problems that arise in a fast-paced environment. You have: - Bachelor's degree or equivalent practical experience. - 5 years of experience in full stack development, across front-end experience including Angular, React, JavaScript or TypeScript, HTML, CSS or equivalent and back-end such as C++, Java/Kotlin, Python, or GO. - Great to have past experience of designing or working on highly configurable and --- TITLE: Senior Systems Engineer, Power Systems (Low Voltage) EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $196K-$248K POSTED: 2026-01-28 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7572411 EXCERPT: Senior Systems Engineer, Power Systems (Low Voltage) Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and you will report to an Electrical (Systems Engineering) Manager. You will: - Work on vehicle platform Low Voltage systems (working internally with Waymo Product team and externally with OEM base vehicle partner) - writing requirements for our OEM partners to set up Low voltage systems and interfaces. Work with the OEMs and Functional Systems Engineers (e.g. Networks, Infotainment systems, Thermal, Security, Motion Controls, Body Controls) --- TITLE: Software Reliability Engineer EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $175K-$215K POSTED: 2026-05-12 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7908814 EXCERPT: Software Reliability Engineer Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's software reliability engineers (SRE) are responsible for the stable operation of Waymo's fully autonomous systems and supporting infrastructure. As an SRE, you combine software and systems engineering techniques to build and run large-scale, fault-tolerant, reliable systems. You focus on optimizing existing systems, building new infrastructure, eliminating manual, error-prone or time-consuming work through automation, and ensuring products that are fast, efficient, and effective. This role follows a hybrid work schedule and reports to the Tech Lead Manager. You will: - Collaborate with other engineers to build reliable systems for the ride hailing service, real time communications between cars and offboard infrastructure, and more - Manage end-to-end availability and performance by measuring the system performance and developing automated solutions to improve it - Get involved in the whole lifecycle --- TITLE: Real Estate Portfolio Manager EMPLOYER: Waymo LOCATION: Mountain View, California, USA (unspecified) SALARY: $152K-$187K POSTED: 2026-05-01 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7822749 EXCERPT: Real Estate Portfolio Manager Mountain View, California, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Infrastructure is at the core of Waymo's commercial business, driving all our initiatives. Our depots and charging sites are critical for keeping cars on the road and directly impact the business's bottom line. Waymo's Real Estate Portfolio Manager is responsible for maintaining and optimizing Waymo's leased and owned real estate portfolio through effective asset management, process improvement and strategic decision making. This role will manage all aspects of Waymo's real estate portfolio, including lease compliance, portfolio optimization, asset management coordination, valuation and reporting and risk management. In this hybrid role, you will report to a Director of Real Estate and Transactions. You will: - Perform strategic portfolio analysis and support business stakeholders throughout the leased and owned life cycle of the real estate asset - Create and track key portfolio metrics, --- TITLE: Group Product Manager, Perception Modeling - Semantics EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $286K-$353K POSTED: 2026-05-20 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7947024 EXCERPT: Group Product Manager, Perception Modeling - Semantics Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo's technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. This role follows a hybrid work schedule and reports to a Group Product Manager. You will: - Act as an approver for model launches, understanding and negotiating between tradeoffs, regressions, and improvements across all of a model's surface area - Plan for future --- TITLE: Staff Software Engineer, Simulator Evaluation EMPLOYER: Waymo LOCATION: Mountain View, California, United States; San Francisco, California, United States. (unspecified) SALARY: $238K-$302K POSTED: 2026-02-10 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7602321 EXCERPT: Staff Software Engineer, Simulator Evaluation Mountain View, California, United States; San Francisco, California, United States. Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. The Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is "real"? We are looking for a Staff Software Engineer to act as the Technical Architect for this domain. You will work at the intersection of software engineering and AI, ensuring that our simulated worlds-whether driven by explicit rules or foundation models-provide a trustworthy representation of reality. In this Staff-level role, you will report to a Senior Staff Software Engineering Manager and act as a Technical Lead, bridging the gap between deep technical metrics and --- TITLE: Technical Program Manager, Systems Engineering EMPLOYER: Waymo LOCATION: San Francisco, CA,US; Mountain View, CA, US (unspecified) SALARY: $159K-$196K POSTED: 2026-03-20 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7733791 EXCERPT: Technical Program Manager, Systems Engineering San Francisco, CA,US; Mountain View, CA, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Technical Program Managers and Program Managers are accountable for Waymo's roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies. This role follow a hybrid work schedule and reports to the Director, Technical Program Management. You will: - Identify gaps and propose changes to existing policy, systems, and process frameworks - Develop scalable solutions and work to manage risks across the organization and develop best practices that are a benefit across the organization --- TITLE: Senior Software Engineer (ML) - Car Experience EMPLOYER: Waymo LOCATION: Warsaw, Poland (unspecified) SALARY: Not disclosed POSTED: 2025-07-08 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7028592 EXCERPT: Senior Software Engineer (ML) - Car Experience Warsaw, Poland Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Car Experience team is responsible for providing safe and delightful experiences to all riders. You will work closely with the Operation team, to help detect and prevent events such as lost items or passengers in the wrong seat by leveraging data pipelines and machine learning models. We are looking for a Senior Software Engineer, with experience in backend development and building ML data pipelines. In this hybrid role, you will report to an Engineering Manager. You will: - Guide all technical aspects of development, including technical requirements definition, design, implementation, unit testing, and integration - Prompt Engineering to train LLM models on Waymo use cases - Apply multimedia ML techniques like image recognition and video analysis - Build ML data pipelines to understand model Precision and Recall - --- TITLE: Recruiter, EMEA EMPLOYER: Waymo LOCATION: London, England (unspecified) SALARY: GBP 125K-131K POSTED: 2026-06-04 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7980327 EXCERPT: Recruiter, EMEA London, England Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's People team recruits and supports the world's best talent (including, we hope, you). Our HR business partners, program administrators, staffers, and compensation specialists help our employees attain their full potential in a healthy, considerate and supportive environment. In this hybrid role, you will report to the Recruiting Lead for Onboard Engineering. You will: - Contribute to the entire recruiting life-cycle, including sourcing activity, and make sure to build and execute against an equitable, inclusive, and accessible hiring system. - Manage hiring manager relationships - develop partnership with the hiring manager to help define the scope of their needs, advise on leveling, and help drive the hiring manager to a hiring decision. - Perform recruiting analyses and talent assessments to determine how best to optimize your search strategy and overall hiring productivity, making adjustments to --- TITLE: Software Engineer, Strategic SWE Reserve EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $170K-$259K POSTED: 2026-04-16 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7622998 EXCERPT: Software Engineer, Strategic SWE Reserve Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Strategic SWE Reserve (SSR) is a versatile task force designed to bridge the gaps in Waymo's most critical scaling efforts. We operate as internal generalists, jumping into any part of the stack- from onboard software that drives the car to offboard infrastructure that directs our fleet of thousands of cars- to fix problems & unblock high-priority goals. This role requires an engineer who is “breadth first” and loves working in new codebases. If you are a doer who prefers delivering high-leverage solutions, SSR offers the broadest possible view of how we build and scale the World's Most Experienced Driver. In this hybrid role, you will report to a Technical Lead Manager You will: - Work across all of Waymo's codebase to fix time-sensitive scaling bottlenecks --- TITLE: Staff TLM, Perception, Continuous Learning & Monitoring EMPLOYER: Waymo LOCATION: Mountain View, California, United States; San Francisco, California, United States (unspecified) SALARY: $238K-$302K POSTED: 2025-12-09 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7450694 EXCERPT: Staff TLM, Perception, Continuous Learning & Monitoring Mountain View, California, United States; San Francisco, California, United States Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with --- TITLE: Staff Research Scientist, Perception Research EMPLOYER: Waymo LOCATION: Mountain View, CA, USA ; Kirkland, WA, USA ; New York City, NY, USA (unspecified) SALARY: $251K-$310K POSTED: 2026-06-02 K401_MATCH: yes (not source-backed) APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7975025 EXCERPT: Staff Research Scientist, Perception Research Mountain View, CA, USA ; Kirkland, WA, USA ; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Principal Research Scientist. You will: - Use Multimodal LLMs to perform 3D detection - Develop and maintain scalable data pipelines for Training & Eval to process data from multiple sources. - --- TITLE: Senior Staff Machine Learning Engineer, Depot Automation EMPLOYER: Waymo LOCATION: Mountain View, CA, US (unspecified) SALARY: $298K-$368K POSTED: 2026-04-07 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7774356 EXCERPT: Senior Staff Machine Learning Engineer, Depot Automation Mountain View, CA, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to generalize complex depot operations-such as exterior cleaning, sensor calibration, and maintenance checks-using advanced robotics. Key work involves leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale. You will interface closely with operations teams to translate real-world needs into robust, working solutions. This role follows a hybrid work schedule and reports to a Director, Hardware and Sensors. You will: - Drive the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. - Lead efforts to generalize complex depot operations using advanced robotics. - Focus on complex depot operations, such as exterior cleaning, sensor --- TITLE: Head of Internal Comms EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $238K-$294K POSTED: 2026-05-13 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7896584 EXCERPT: Head of Internal Comms Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As a member of the Communications team, you'll be on the cutting edge of bringing autonomous driving technology to the public, developing strategies that will increase understanding, acceptance, and adoption of this life-saving technology. We work with reporters, editors, bloggers, and other influencers to tell stories about Waymo and the potential of our technology to change how we move and live. We partner with the engineering, business, policy, marketing, and product teams to create messaging for new products and other initiatives, counter misinformation, and shape our reputation. In this hybrid role, you will be based in Mountain View, CA and report to our Chief Marketing Officer. You will: - Team & Resource Management: Lead a team of three FTEs to deliver high-quality content, events, and communications counsel --- TITLE: Technical Lead Manager, Fullstack EMPLOYER: Waymo LOCATION: Warsaw, Masovian Voivodeship, Poland (unspecified) SALARY: Not disclosed POSTED: 2026-01-17 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7512147 EXCERPT: Technical Lead Manager, Fullstack Warsaw, Masovian Voivodeship, Poland Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Want to build the next generation of infrastructure for driverless cars? Join our Waymo Simulation team, and help us design the future of transportation! We are looking for a passionate Senior SWE who wants to help build the systems that improve Waymo's core simulation systems. In this hybrid role, you will report to an Engineering Director. You will: - Help build and evolve one or more mission-critical commercialization tools and systems - Solve hard, real-world problems such as demand planning, pickup / dropoff optimization, fleet optimization, field escalation handling, and more - Hire and manage a team of engineers - Collaborate with US peers to work on the next generation of AI-driven UI for an internal simulation tool - Building a full-stack product using Alphabet tech stack - Improve / monitor --- TITLE: Senior Software Engineer, Eval Authoring APIs EMPLOYER: Waymo LOCATION: Mountain View,CA, USA; San Francisco, CA, USA; New York, NY, USA (unspecified) SALARY: $213K-$263K POSTED: 2026-03-25 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7747032 EXCERPT: Senior Software Engineer, Eval Authoring APIs Mountain View,CA, USA; San Francisco, CA, USA; New York, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Team and Responsibilities The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. The Eval Authoring APIs team's mission is to establish the foundational API and tooling required to support the eval development lifecycle, encompassing creation, validation, testing, and publishing. We are seeking an experienced, technically hands-on Senior Software Engineer to design and implement these core authoring APIs. In this hybrid role, you will report to the Sr. Staff Manager. You will: - Drive the technical architecture and implementation of core services that enable evaluation engineers to author, manage, and --- TITLE: EHS Manager, Americas (San Francisco) EMPLOYER: Waymo LOCATION: San Francisco, CA, USA (unspecified) SALARY: $152K-$187K POSTED: 2026-02-27 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7658411 EXCERPT: EHS Manager, Americas (San Francisco) San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations. In this hybrid role, you will report to a Environment, Health and Safety Manager. You will: - Implement and maintain comprehensive EHS programs for Waymo's Americas sub-regional operations, ensuring alignment with Waymo's Global EHS Standards, Regional EHS Programs, and local regulatory requirements. - --- TITLE: Staff Machine Learning Engineer, Simulation EMPLOYER: Waymo LOCATION: London, UK (unspecified) SALARY: GBP 155K-163K POSTED: 2026-06-01 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7947253 EXCERPT: Staff Machine Learning Engineer, Simulation London, UK Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather. To increase the fidelity and steerability of the simulations, we employ large foundation models, trained on our massive datasets that allow us to quickly setup and rollout multiple scenarios to subject our driver to. We are planning to set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products. We are looking for research engineers to work on these exciting problems. In this hybrid role, you will report to an --- TITLE: Senior Staff Data Scientist, Perception EMPLOYER: Waymo LOCATION: Mountain View, CA USA (unspecified) SALARY: $298K-$368K POSTED: 2026-05-04 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7872727 EXCERPT: Senior Staff Data Scientist, Perception Mountain View, CA USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. This role is part of Waymo's Perception Development Foundations (PDF) team. The PDF team's mission is to accelerate improvements to Waymo's Perception system by providing teams with cutting-edge Data, Model Development tools, and Evaluation frameworks. We focus on removing toil, increasing automation, and enhancing how models use data and how we measure performance. In this hybrid role, you will report to a director of engineering. You will: - Define and own the overarching vision and multi-year strategy for determining the size, composition, and collection methods for datasets used in Perception model training and evaluation. - Drive the design and organizational adoption of frameworks to estimate data needs based on model performance, scaling laws, generalization goals, and a deep understanding of the diversity in new geographies. - Define and refine strategies --- TITLE: Tech Lead Manager, Simulation Infrastructure EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $251K-$310K POSTED: 2026-06-04 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7983686 EXCERPT: Tech Lead Manager, Simulation Infrastructure Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulation Infrastructure team creates reliable, scalable, and cost-effective Simulation-based products that evaluate the Waymo Driver's software stack at a massive scale. We solve complex technical challenges to build services and tools for a broad range of customers Software Engineers, Product, Data Science, System Engineering, and more. So if you want to build the next generation of Simulation products and infrastructure, we'd love to hear from you! This role follows a hybrid work schedule and reports to the Software Engineering Manager. You will: - Provide technical leadership and people management for a team of software engineers building Waymo's distributed simulation engine - Architect, scale, and operate the massive distributed system that validates the autonomous driving software stack daily - Drive improvements in scheduler throughput, resource allocation, --- TITLE: Research Scientist, Prediction & Planning EMPLOYER: Waymo LOCATION: Mountain View, CA USA; New York, NY USA; San Francisco, CA USA; (unspecified) SALARY: $175K-$215K POSTED: 2025-10-08 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7309064 EXCERPT: Research Scientist, Prediction & Planning Mountain View, CA USA; New York, NY USA; San Francisco, CA USA; Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: - Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction - Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business - Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning - Write high-quality, scalable, and thoroughly tested --- TITLE: Software Engineer, Backend EMPLOYER: Waymo LOCATION: Warsaw, Masovian Voivodeship, Poland (unspecified) SALARY: Not disclosed POSTED: 2026-01-23 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7558429 EXCERPT: Software Engineer, Backend Warsaw, Masovian Voivodeship, Poland Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The RO Performance team is at the heart of understanding and improving Waymo's self-driving technology. We build and maintain the critical infrastructure, to process and analyze vast amounts of data from both real-world driving logs and simulations. Our systems generate key metrics and power dashboards which are essential for tracking the product performance, identifying areas for improvement, and making data-driven decisions. The insights produced by our team directly influence Waymo's operational rollouts, weekly performance reviews, and ultimately, the safety and reliability of our autonomous vehicles. In this hybrid role, you will report to an Staff Software Engineer. You will: - Infrastructure & Pipeline Engineering: Design and operate high-performance, low-latency data pipelines for both massive-scale simulation and real-world monitoring. - Evaluation Fidelity: Improve the signal quality of driving tests by ensuring simulation results --- TITLE: SMS - Safety Policy and Culture Lead EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $190K-$241K POSTED: 2026-01-21 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7546024 EXCERPT: SMS - Safety Policy and Culture Lead Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations. In this hybrid role, you will report to our Head of Safety Management and Best Practices. You will: - SMS Policy Maintenance: Support the SMS Lead in the development, periodic review, revision, and version control and implementation support for enterprise-level safety --- TITLE: Program Manager, Risk & Insurance EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $159K-$196K POSTED: 2026-05-19 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7939648 EXCERPT: Program Manager, Risk & Insurance Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Program Managers are accountable for Waymo's roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies. This role follows a hybrid work schedule and you will report to a Manager of Program Management. You will: - Lead and drive programs across the modernization of the risk & insurance ecosystem, working cross-functionally with teams such as Legal, Product, Engineering, etc. in domestic and international markets - Collaborate with leadership to establish strategies with --- TITLE: Senior Research Scientist, Foundation Model (LLM/VLM) EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $204K-$259K POSTED: 2026-01-28 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7572081 EXCERPT: Senior Research Scientist, Foundation Model (LLM/VLM) Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. In this hybrid role you will report to a Technical Lead Manager. You will: - Conduct applied foundation model research and development - Design compelling experiments by training and evaluating large deep learning models - Present results to peers and leadership - Write high quality code, unit tests, and documentation You have: - Masters or PhD in deep learning in behavior and agent modeling or simulation - Proficiency in Python --- TITLE: Senior Formal Verification Engineer EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $204K-$259K POSTED: 2026-02-09 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7593534 EXCERPT: Senior Formal Verification Engineer Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. This role follows a hybrid work schedule and you will report to a Silicon Engineering Lead. You will: - Define and drive formal strategy for first-pass silicon success. Own the formal verification sign-off approach across complex IP and SoC --- TITLE: Systems Integration Engineer EMPLOYER: Waymo LOCATION: Mountain View, CA, US (unspecified) SALARY: $159K-$196K POSTED: 2026-04-10 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7804301 EXCERPT: Systems Integration Engineer Mountain View, CA, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and reports to Systems Integration Manager. You will: - Lead mechanical, electrical, and software integration and bring up of novel self-driving vehicle platform systems. - Debugging issues with self driving systems and base chassis components. Work will include ME, EE, and SW debugging. - Advise on requirements and interface definitions between subsystems and components, and gathering of key pieces of data or knowledge through design and execution of tests, experiments, --- TITLE: Machine Learning Engineer (Infra), Driver Understanding and Evaluation EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $170K-$216K POSTED: 2026-04-17 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7819946 EXCERPT: Machine Learning Engineer (Infra), Driver Understanding and Evaluation Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. You will: - Build scalable systems for training and fine-tuning large-scale models to evaluate interesting driving behaviors. - Work at the intersection of data engineering, model development, and simulation Provide guidance --- TITLE: Senior Vehicle Dynamics Simulation Engineer EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $196K-$242K POSTED: 2026-04-09 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7786381 EXCERPT: Senior Vehicle Dynamics Simulation Engineer Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and you will report to Systems Engineering Manager. You will: - Use C++ and multi-domain modeling tools to develop models of chassis dynamics, actuator dynamics, and safety systems for Waymo platforms - Integrate vehicle dynamics models into the Waymo Simulator and simulation workflows - Define and drive the execution of test campaigns to characterize the vehicle dynamics of Waymo platforms and validate vehicle dynamics --- TITLE: ML Microarchitect EMPLOYER: Waymo LOCATION: Mountain View, California (unspecified) SALARY: $170K-$216K POSTED: 2026-02-14 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7616808 EXCERPT: ML Microarchitect Mountain View, California Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. This role follows a hybrid work schedule and you will report to the Senior Staff Silicon Engineer. You will: - Work with researchers and architects to translate high level requirements into hardware features - Specify and design microarchitectures to deliver world class --- TITLE: Senior Software Engineer, Simulation Infrastructure EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $204K-$259K POSTED: 2025-12-05 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7430553 EXCERPT: Senior Software Engineer, Simulation Infrastructure Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulation Infrastructure team creates reliable, scalable, and cost-effective Simulation-based products that evaluate the Waymo Driver's software stack at a massive scale. We solve complex technical challenges to build services and tools for a broad range of customers - Software Engineers, Product, Data Science, System Engineering, and more. So if you are interested in building the next generation of Simulation products and infrastructure, we'd love to hear from you! In this Hybrid role, you will report to a Tech Lead Manager You will: - Design, develop, and maintain C++ software systems, tooling, and infrastructure to support development & evaluation of the Waymo Driver - Collaborate with Product, Data Science, Systems Engineering, and Onboard SWE teams to understand requirements, develop solutions, and provide support - Manage complex --- TITLE: Onboard Infrastructure Software Engineer EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $170K-$216K POSTED: 2025-12-15 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7461103 EXCERPT: Onboard Infrastructure Software Engineer Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Onboard Infrastructure Team is responsible for designing and developing the core infrastructure for Autonomous Driving Vehicle (ADV) systems, which includes perception, planning, and routing functionalities. This encompasses defining the architecture and frameworks used to implement these critical systems. Furthermore, the team manages the entire runtime environment for both on-car systems and large-scale simulation, focusing on end-to-end performance, reliability, and developer experience throughout the development lifecycle. This is a hybrid position reporting to a Staff Engineer, Tech Lead Manager. In this hybrid role, you will report to a Staff Software Engineer / TLM. You will: - Drive architectural and framework improvements to boost driving quality, performance, reliability, and enhance the overall developer experience. - Gain a holistic understanding of the entire Waymo code lifecycle-from deployment on autonomous vehicles to running large-scale --- TITLE: Machine Learning Engineer EMPLOYER: Waymo LOCATION: London, England, United Kingdom (unspecified) SALARY: GBP 120K-130K POSTED: 2026-01-07 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7474033 EXCERPT: Machine Learning Engineer London, England, United Kingdom Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver. We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack. You will: - Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors. - Lead the implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors - Lead the development of cutting-edge Deep Learning models and --- TITLE: Staff Machine Learning Engineer (Infra), Driver Understanding and Evaluation EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $251K-$310K POSTED: 2025-12-22 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7438635 EXCERPT: Staff Machine Learning Engineer (Infra), Driver Understanding and Evaluation Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. You will: - Provide deep technical leadership on large-scale ML model architectures, especially for autonomous vehicle models. - Build scalable systems for training and fine-tuning large-scale models to evaluate interesting --- TITLE: Senior Software Engineer, DevAI EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $213K-$263K POSTED: 2026-04-29 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7863159 EXCERPT: Senior Software Engineer, DevAI Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Our mission is to build the next generation of AI-powered developer tools and agentic systems that accelerate the development of the Waymo Driver. We focus on transforming the Software Development Life Cycle (SDLC) through cutting-edge Generative AI and multi-agent frameworks, enabling our engineering teams to build, test, and deploy autonomous driving technology with unprecedented speed and quality. This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI. You will: - Revolutionize the Inner Loop: Develop multi-agent frameworks and tools designed to enable engineers to write and test code significantly faster, with a focus on spec-driven development and context-aware code generation - Build the Outer Loop: Design and deploy sophisticated agentic flows to automate complex engineering tasks, including root cause analysis agents, --- TITLE: Software Engineer, Quantitative Evaluations EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $170K-$216K POSTED: 2025-12-16 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7466534 EXCERPT: Software Engineer, Quantitative Evaluations Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to a Sr. Staff Engineering Manager. You will: - Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. - Use simulation creatively --- TITLE: Staff Software Engineer, DevAI EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $251K-$310K POSTED: 2026-04-29 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7863214 EXCERPT: Staff Software Engineer, DevAI Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Our mission is to build the next generation of AI-powered developer tools and agentic systems that accelerate the development of the Waymo Driver. We focus on transforming the Software Development Life Cycle (SDLC) through cutting-edge Generative AI and multi-agent frameworks, enabling our engineering teams to build, test, and deploy autonomous driving technology with unprecedented speed and quality. This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI You will: - Revolutionize the Inner Loop: Develop multi-agent frameworks and tools designed to enable engineers to write and test code significantly faster, with a focus on spec-driven development and context-aware code generation - Build the Outer Loop: Design and deploy sophisticated agentic flows to automate complex engineering tasks, including root cause analysis agents, --- TITLE: Machine Learning Engineer, Depot Automation EMPLOYER: Waymo LOCATION: Mountain View, CA, US (unspecified) SALARY: $175K-$215K POSTED: 2026-05-12 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7852501 EXCERPT: Machine Learning Engineer, Depot Automation Mountain View, CA, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to generalize complex depot operations-such as exterior cleaning, sensor calibration, and maintenance checks-using advanced robotics. Key work involves leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale. You will interface closely with operations teams to translate real-world needs into robust, working solutions. This role follows a hybrid work schedule and reports to a Director, Hardware and Sensors. You will: - Drive the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet - Contribute to accomplishing complex depot operations using advanced robotics - Focus on complex depot operations, such as charging, interior cleaning, vehicle inspection, and --- TITLE: Real Estate & Transaction Manager - EMEA EMPLOYER: Waymo LOCATION: London, England, United Kingdom (unspecified) SALARY: GBP 118K-124K POSTED: 2026-04-23 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7825777 EXCERPT: Real Estate & Transaction Manager - EMEA London, England, United Kingdom Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Infrastructure is at the core of Waymo's commercial business, driving all our initiatives. Our depots and charging sites are critical for keeping cars on the road and directly impact the business's bottom line. Waymo's Real Estate & Transaction Managers will work collaboratively with our cross functional partners to maintain and grow existing markets while also leading expansion into new territories. This position requires a creative real estate professional with a background in nontraditional uses. Travel will be required to support site searches. In this hybrid role, you will report to the Head of EMEA Real Estate & Transactions You will: - Work collaboratively with internal and external stakeholders, advancing critical infrastructure Real Estate projects to enable Waymo's operations - Develop and execute on market / site-level strategies based --- TITLE: Regulatory Counsel EMPLOYER: Waymo LOCATION: London, England, United Kingdom (unspecified) SALARY: GBP 155K-163K POSTED: 2025-10-31 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7369144 EXCERPT: Regulatory Counsel London, England, United Kingdom Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As part of Waymo's Legal team, you will work on the exciting legal issues surrounding our transformational autonomous driving technology and help drive our business lines forward from technology ideation through scaled commercial deployment. We partner with our public policy, safety, security and privacy experts to define transportation policy for the autonomous driving world to come, advising on regulatory changes that support and protect our users around the world. We collaborate with our engineering, product, strategy and operations teams to develop and protect our intellectual property portfolio and drive our corporate and commercial transactions. We ensure compliance with an increasingly complex and dynamic range of global regulations. And we anticipate, mitigate, and litigate high-profile and precedent-setting legal matters. In this hybrid role, you will report into our Managing Counsel, Regulatory, Policy, Product. You --- TITLE: Software Engineer, Machine Learning Tooling EMPLOYER: Waymo LOCATION: Taipei, Taiwan; Hsinchu, Taiwan (unspecified) SALARY: TWD 2600K-3150K POSTED: 2026-03-16 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7698498 EXCERPT: Software Engineer, Machine Learning Tooling Taipei, Taiwan; Hsinchu, Taiwan Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. This role follows a hybrid work schedule, and you will report to the Tech Lead Manager of the Machine Learning Performance team. You will: - Build infrastructure and tooling to monitor and diagnose ML model compatibility and performance --- TITLE: Senior Systems Test Engineer, OEM TL EMPLOYER: Waymo LOCATION: Mountain View, California, USA (unspecified) SALARY: $196K-$242K POSTED: 2026-03-05 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7625366 EXCERPT: Senior Systems Test Engineer, OEM TL Mountain View, California, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results. This role follows a hybrid work schedule and reports to Systems Test Engineering Lead. You will: - Act as Waymo's test engineering representative across a number of technical domains, helping partners develop test strategies for requirements, detailed test plans, scripts, and clear judgement criteria. - Guide partners in the transition from manual testing methodologies to automated, data-driven approaches, partnering with internal infrastructure teams to build solutions that accelerate the test-to-reporting --- TITLE: Electrical Engineer, Sensors EMPLOYER: Waymo LOCATION: Mountain View, CA, US (unspecified) SALARY: $159K-$196K POSTED: 2026-04-24 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7848797 EXCERPT: Electrical Engineer, Sensors Mountain View, CA, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. We are seeking an experienced Sensor Electrical Engineer to join our Hardware/Sensor team. In this role, you will play a critical part in the full product life cycle-from initial design and development through to mass production-of our advanced sensor technologies. You will collaborate closely with cross-functional partners, including software, mechanical, and manufacturing teams, to deliver innovative and robust engineering solutions. This role follows a hybrid work schedule and reports to the Sensors Hardware Lead. You will: - --- TITLE: Event Security Program Manager EMPLOYER: Waymo LOCATION: Tempe, Arizona, USA (unspecified) SALARY: $152K-$187K POSTED: 2026-05-13 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7435999 EXCERPT: Event Security Program Manager Tempe, Arizona, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's cars navigate the world autonomously, but our global security posture is steered by the expertise of professionals like you. Safety is our foundation and is at the heart of everything we do. As a core member of the Global Security team, you will serve as the programmatic architect and primary risk advisor for Waymo teams participating in public engagements and high-visibility events. You will bridge the gap between ambitious business goals and rigorous safety standards, providing the critical security data and risk inputs that enable our teams to showcase Waymo's technology with total confidence. This role follows a hybrid work schedule and reports to the Head of Physical Security. You will: - Architect Scalable Standards: Design and own the end-to-end "Event Security Playbook," including intake workflows, self-service risk rubrics, and SOPs --- TITLE: Machine Learning Engineer, Geometry Team EMPLOYER: Waymo LOCATION: Kirkland, Washington, United States (unspecified) SALARY: $175K-$215K POSTED: 2026-03-19 PARENTAL_LEAVE_WEEKS: 30 (not source-backed) K401_MATCH: yes (not source-backed) APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7733702 EXCERPT: Machine Learning Engineer, Geometry Team Kirkland, Washington, United States Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models --- TITLE: Tech Lead Manager, Hill-Climbing & Launch Eval EMPLOYER: Waymo LOCATION: Mountain View, California, USA (unspecified) SALARY: $238K-$302K POSTED: 2026-02-05 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7455999 EXCERPT: Tech Lead Manager, Hill-Climbing & Launch Eval Mountain View, California, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Within Waymo's Perception Eval, the Hillclimbing & Launch Eval team is dedicated to enabling rapid, actionable, and smooth development cycles and releases for all of Perception. We design, build, and enhance critical evaluation workflows and are ultimately accountable for the quality and efficiency of the eval process. Our work empowers teams across Perception to effectively hillclimb model performance and software quality, ensuring successful and safe launches. This involves deep collaboration with ML, Simulation, Data Science, and Infrastructure partners. In this hybrid role, you will report to an Engineering Manager You will: - People Management & Growth: Manage, mentor, and grow a high-performing team of software engineers (levels ranging from Junior to Staff), handling performance reviews, career planning, and hiring. - Strategy & Roadmap: Define the technical strategy and --- TITLE: Onboard Developer Platform Software Engineer EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $170K-$216K POSTED: 2025-12-15 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7461052 EXCERPT: Onboard Developer Platform Software Engineer Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo is in the process of hyper-scaling. We must enhance developer productivity of onboard engineers to enable the entire organization to quickly scale and address emerging challenges. The goal of this team is to build the infrastructure, architecture, tooling, and platform necessary to accelerate development by identifying and addressing the critical needs and bottlenecks faced by onboard engineers. In this hybrid role you will report to a Staff Software Engineer / Tech Lead Manager. You will: - Develop reliable, scalable, and maintainable systems to meet user needs, including accelerating large-scale simulation and eval, reinforcement learning-based fine-tuning pipeline, and analysis. - Evolve and scale up the simulation and evaluation platform to accelerate the "inner loop" of software development by 10X for onboard engineers (500+). - Develop the ADV's modular architecture and --- TITLE: Front-End Software Engineer, Simulation EMPLOYER: Waymo LOCATION: MountainView, CA, United States (unspecified) SALARY: $213K-$263K POSTED: 2026-04-29 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7855418 EXCERPT: Front-End Software Engineer, Simulation MountainView, CA, United States Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You will: - Design, test, deploy, and maintain intuitive and high-performance web applications for Waymo's critical simulation, event discovery and evaluation platforms, using Angular and TypeScript. - Collaborate with UX designers, Product Managers, and engineering teams to translate requirements into polished user-facing features. - Build interfaces that handle complex data, support efficient user workflows, and surface insights from simulation results, data scientists, and evaluation processes. - Integrate with VLMs, LLMs, AI Agents, and new AI infrastructure to power intelligent product experiences. - Contribute to the enhancement of our front-end architecture, component libraries, and development best practices. - Engage with end-users to understand their needs and refine tooling. You have: - Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. - 5+ years of experience building web --- TITLE: Senior Backend Engineer, Fleet Infrastructure EMPLOYER: Waymo LOCATION: San Francisco, CA, USA; Mountain View, CA, USA (unspecified) SALARY: $213K-$263K POSTED: 2026-04-30 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7859522 EXCERPT: Senior Backend Engineer, Fleet Infrastructure San Francisco, CA, USA; Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Want to build the next generation infrastructure for managing fleets of driverless cars? Join the Waymo Fleet Infrastructure team in San Francisco and help design the future of transportation! Waymo has already made history by transporting people in a fully autonomous car. We're planning to grow our fleet of cars and recently launched the world's first autonomous ride-sharing business! We also have a growing fleet of driverless trucks for freight deliveries, and the list goes on as the sky's the limit for what we can do with a fleet of robots. We are looking for passionate engineers who want to build the systems that manage Waymo's ever-growing fleet of autonomous vehicles. You will: - Help build and evolve one or more mission-critical commercialization tools and systems --- TITLE: Senior Machine Learning Engineer (Infra), Driver Understanding and Evaluation EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $213K-$263K POSTED: 2026-04-17 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7819951 EXCERPT: Senior Machine Learning Engineer (Infra), Driver Understanding and Evaluation Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. You will: - Build scalable systems for training and fine-tuning large-scale models to evaluate interesting driving behaviors. - Work at the intersection of data engineering, model development, and simulation Provide --- TITLE: Senior Staff TLM, Perception, Sensor Pipelines EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $281K-$356K POSTED: 2026-02-10 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7596467 EXCERPT: Senior Staff TLM, Perception, Sensor Pipelines Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and --- TITLE: Senior Systems Engineer, Fault Protection EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $196K-$242K POSTED: 2026-03-27 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7748416 EXCERPT: Senior Systems Engineer, Fault Protection Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results. This role follows a hybrid work schedule and you will report to a Systems Engineering Manager. You will: - Advance the Waymo Driver's capabilities to safely mitigate diverse fault conditions in support of Waymo's continued expansion - Develop and own comprehensive requirements and verification & validation plans for mission critical SW systems and features, ensuring appropriate level of coverage to demonstrably meet product quality & safety goals --- TITLE: Senior Program Manager - Ops Activation & Compliance EMPLOYER: Waymo LOCATION: London, England, UK (unspecified) SALARY: GBP 118K-124K POSTED: 2026-05-01 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7852088 EXCERPT: Senior Program Manager - Ops Activation & Compliance London, England, UK Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Regional Ops & Compliance - Market Entry senior program manager functions as the primary integration point for new international market entry, aligning global strategy with local execution requirements. This role serves as the authoritative lead for the international market or region, responsible for synthesizing complex inputs from operations, product, policy, and safety teams to ensure a unified launch. By acting as the single source of truth during the activation phase, this lead navigates dynamic regulatory environments and community nuances to translate local realities into actionable insights for global cross-functional and leadership teams. The core objective is to drive mission-critical readiness milestones and provide a clear framework for escalation and resolution, ensuring a seamless transition from initial market bring-up to stable, long-term commercial operations. You will: - Orchestrate --- TITLE: Public Relations Lead, Japan / PRリード（日本) EMPLOYER: Waymo LOCATION: Tokyo, Japan (unspecified) SALARY: Not disclosed POSTED: 2026-02-28 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7435061 EXCERPT: Public Relations Lead, Japan / PRリード（日本) Tokyo, Japan Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As a member of the Communications team, you'll be on the cutting edge of bringing autonomous driving technology to the public, developing strategies that will increase understanding, acceptance, and adoption of this life-saving technology. We work with reporters, editors, bloggers, and other influencers to tell stories about Waymo and the potential of our technology to change how we move and live. We partner with the engineering, business, policy, marketing, and product teams to create messaging for new products and other initiatives, counter misinformation, and shape our reputation. コミュニケーション チームのメンバーとして、自律運転技術を社会に普及させる最前線に立ち、当社の「命を救う」テクノロジーへの理解、受容、導入を促進するための戦略を策定します。記者や編集者、ブロガー、インフルエンサーなどと連携して、Waymo、さらには人々の移動や生活を変える技術の可能性についてストーリーを発信します。また、エンジニアリング、ビジネス、政策、マーケティング、プロダクトの各チームと協力して、新製品や各種取り組みに関するメッセージを構築し、誤情報の是正やレピュテーションの形成を行います。 In this hybrid role, you will report to our Head of Public Relations. 本ポジションはハイブリッド勤務を導入しており、広報担当責任者が直属の上司となります 。 You will / 業務内容: - Help tell the Waymo story and help communicate corporate, product, tech, safety, and other news to external audiences in Tokyo, Japan. / --- TITLE: Senior Staff Android Engineer, In-Car Experience EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $298K-$368K POSTED: 2026-05-18 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7932205 EXCERPT: Senior Staff Android Engineer, In-Car Experience Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. We are building a team of engineers dedicated to further developing our in-car experience. Projects include the Pick Ups and Drop Offs (PUDO) experience, and Infotainment during passenger trips (music, games, maps). Our team works on the user interfaces used by customers to hail and control our autonomous vehicles. We build complex user experiences, phone-to-vehicle communications, and solve novel human-computer interaction problems in the AV space. In this hybrid role, you will report to an Engineering Director. You will: • Set the overarching technical architecture, defining a multi-year technical vision across the entire in-car experience (ICX), bridging the gap between the different layers of the stack, from low-level hardware bring-up to our OS to rider-facing apps and features. • Identify broad, cross-team bottlenecks (e.g., OS stability, rendering performance, release --- TITLE: International Standardization Lead (Staff Researcher) EMPLOYER: Waymo LOCATION: London, England, United Kingdom (unspecified) SALARY: GBP 141K-148K POSTED: 2026-05-13 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7890744 EXCERPT: International Standardization Lead (Staff Researcher) London, England, United Kingdom Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations. In this hybrid role, you will report to the Head of Safety Management. You will: - Set Standardization Strategy: Develop a thoughtful, coordinated, company-wide strategy and approach for Waymo's engagement with SDOs (inclusive of ISO, IEEE, SAE), defining clear goals, levels of engagement, --- TITLE: Software Engineer, Payment BE EMPLOYER: Waymo LOCATION: Warsaw, Poland (unspecified) SALARY: Not disclosed POSTED: 2026-05-12 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7902582 EXCERPT: Software Engineer, Payment BE Warsaw, Poland Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. We are looking for a passionate Backend Software Engineer to join the Waymo Payments & Identity team. Our work involves building the infrastructure that powers all financial transactions and user identity management for Waymo, ensuring that every ride is billed correctly and every payment is processed securely. You will help us handle integrations with multiple payment providers, support diverse payment methods, and build systems for promotions, credits, and automated financial reporting. You will be developing high-quality, reliable, and scalable backend systems that form the backbone of mission-critical Waymo infrastructure, enabling new functionalities, supporting expansion into new markets, and ensuring extreme correctness and data integrity in all financial transactions. You will: - Design and ship billing and payment capabilities end-to-end, from payment flows and wallet management to fraud controls and reconciliation - Build for --- TITLE: Charging Automation Lead EMPLOYER: Waymo LOCATION: San Francisco, CA, USA; Mountain View, CA, USA (unspecified) SALARY: $152K-$187K POSTED: 2026-05-08 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7435977 EXCERPT: Charging Automation Lead San Francisco, CA, USA; Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. In this hybrid role, you will report to a Director of Global Place Workplace & eMobility You will: - Lead the smart buildings design and implementation of automated test scripts and standardized workflows for EV charging features, from initial development through utility energization and final customer activation. - Act as the primary technical lead ensuring seamless integration between vehicle mechatronic embedded controls, charging hardware, and cloud-based mobile applications. - Define and enforce rigorous quality standards and testing strategies, integrating automated test suites into CI/CD pipelines to ensure continuous delivery of high-quality charging infrastructure.Define and enforce rigorous quality standards and testing strategies, integrating automated test suites into CI/CD pipelines to ensure continuous delivery of high-quality charging infrastructure. - Identify process inefficiencies and lead implementation of automation virtualization opportunities to --- TITLE: Staff Machine Learning Engineer, Data Flywheel EMPLOYER: Waymo LOCATION: Mountain View, CA USA; San Francisco, CA USA; (unspecified) SALARY: $250K-$335K POSTED: 2026-02-11 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7593522 EXCERPT: Staff Machine Learning Engineer, Data Flywheel Mountain View, CA USA; San Francisco, CA USA; Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the --- TITLE: Senior Software Engineer, Fleet Response Training EMPLOYER: Waymo LOCATION: Mountain View, CA, USA ; San Francisco, CA, USA ; Remote (remote) SALARY: $213K-$263K POSTED: 2026-06-03 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7977824 EXCERPT: Senior Software Engineer, Fleet Response Training Mountain View, CA, USA ; San Francisco, CA, USA ; Remote Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Fleet Response team's mission is to accelerate the safe deployment of Waymo's autonomous technology. Fleet Response operates at the cutting edge of our autonomous driving operations. In certain highly ambiguous or complex situations, the Waymo Driver can request the assistance of human Fleet Response Operators (FROs) to provide extra context and information. These operators participate in rigorous and extensive training programs before they begin working with real cars, and routinely undergo refresher training during their tenure. Peak human performance requires world-class training, and world-class training requires world-class training systems. This role will be responsible for working with the operations team to build out a comprehensive training suite that enables FROs to do their best work assisting Waymo's cars and riders. You --- TITLE: Program Manager, Mapping Operations EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $51.45-$62.99/hr POSTED: 2026-05-28 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7944323 EXCERPT: Program Manager, Mapping Operations Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Mapping Operations team is responsible for building, validating, and continuously improving the high-definition maps that power Waymo's autonomous driving system. The team ensures that the vehicle has an accurate, up-to-date understanding of the world by transforming raw sensor data into reliable, production-ready map assets. MapOps sits at the intersection of autonomous driving, data operations, and quality assurance, partnering closely with Engineering, ML, and Product teams to support safe, scalable deployment across new and existing markets. You will: - Develop deep subject matter expertise in a vertical of mapping operations, and serve as a go-to point of contact for stakeholders across the entire organization - Test and roll out new mapping tools, features, and workflows in coordination with our Engineering and Product partners - Identify opportunities to improve efficiency to scale --- TITLE: Senior Android Engineer, In-Car Experience EMPLOYER: Waymo LOCATION: Mountain View, CA, US; San Francisco, CA, US (unspecified) SALARY: $204K-$259K POSTED: 2025-12-26 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7484282 EXCERPT: Senior Android Engineer, In-Car Experience Mountain View, CA, US; San Francisco, CA, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. We are building a team of engineers dedicated to further developing our in-car experience. Projects include the Pick Ups and Drop Offs (PUDO) experience, and Infotainment during passenger trips (music, games, maps). Our team works on the user interfaces used by customers to hail and control our autonomous vehicles. We build complex user experiences, phone-to-vehicle communications, and solve novel human-computer interaction problems in the AV space. In this hybrid role, you will report to an Engineering Manager. You will: - Create reliable Android components and flows using modern technologies like Jetpack Compose. - Build features within the in-car interface that inspire trust and clearly communicate the vehicle's intentions. - Work closely with UX/UI designers, Product Managers, and Vehicle Software Engineers to launch innovative in-car experiences. - --- TITLE: Staff Android Engineer, In-Car Experience EMPLOYER: Waymo LOCATION: Mountain View, CA, US; San Francisco, CA, US (unspecified) SALARY: $251K-$310K POSTED: 2025-12-26 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7484320 EXCERPT: Staff Android Engineer, In-Car Experience Mountain View, CA, US; San Francisco, CA, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. We are building a team of engineers dedicated to further developing our in-car experience. Projects include the Pick Ups and Drop Offs (PUDO) experience, and Infotainment during passenger trips (music, games, maps). Our team works on the user interfaces used by customers to hail and control our autonomous vehicles. We build complex user experiences, phone-to-vehicle communications, and solve novel human-computer interaction problems in the AV space. In this hybrid role, you will report to an Engineering Manager. You will: - Create reliable Android components and flows using modern technologies like Jetpack Compose. - Build features within the in-car interface that inspire trust and clearly communicate the vehicle's intentions. - Work closely with UX/UI designers, Product Managers, and Vehicle Software Engineers to launch innovative in-car experiences. - --- TITLE: Staff Product Data Scientist, Expansion EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $230K-$284K POSTED: 2026-06-08 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7975386 EXCERPT: Staff Product Data Scientist, Expansion Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. This role follows a hybrid work schedule and you will report to the Manager of Product Data Science. You will: - Work with cross functional teams to better understand and propose how Waymo should be expanding its operating territories - Build models to suggest long term territory sizes and vehicle allocation plans. - Define and build the expansion --- TITLE: ML Accelerator Architect EMPLOYER: Waymo LOCATION: Mountain View, CA, US; New York City, NY, US (unspecified) SALARY: $170K-$216K POSTED: 2026-01-05 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7509005 EXCERPT: ML Accelerator Architect Mountain View, CA, US; New York City, NY, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. In this role, you will report to a Hardware Engineering Manager. You will: - Analyze workloads and map them efficiently to hardware, proposing novel HW-friendly implementations and projecting performance - Architect, simulate and design amazing --- TITLE: Hardware Engineer, LIDAR Performance Validation EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $159K-$196K POSTED: 2026-04-15 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7808260 EXCERPT: Hardware Engineer, LIDAR Performance Validation Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule (at least 3 fixed days in the office) and reports to the LiDAR performance lead. You will: - Work closely with electrical, mechanical, manufacturing and reliability engineers to develop and characterize high performance LiDAR systems and electro-optical subsystems - Develop bench characterization methods and accompanying physics-based software models to ensure the design is on track to achieve top level performance goals. Develop and maintain performance validation plans that --- TITLE: Principal Software Engineer, Onboard Field Response EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $349K-$431K POSTED: 2026-04-28 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7848842 EXCERPT: Principal Software Engineer, Onboard Field Response Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Onboard Software team develops the critical software and machine learning models that power the Waymo Driver. Our systems enable the vehicle to perceive its surroundings, make safe driving decisions, and transport people to their destinations. With Waymo's fleet driving millions of miles every week, we operate at a scale that exposes our technology to a vast array of challenging real-world scenarios. As the Onboard Field Response Lead, you will play a key role in our continuous improvement cycle. Your primary responsibility will be to lead the engineering analysis and response to novel, rare, or unexpected events encountered by the fleet in the field. This includes both spearheading timely investigations and resolutions, as well as proactively evolving the Onboard Software system to enhance its robustness and adaptability. This unique --- TITLE: Senior Machine Learning Engineer, Perception LLM/VLM EMPLOYER: Waymo LOCATION: Mountain View, CA USA; San Francisco, CA USA; (unspecified) SALARY: $204K-$259K POSTED: 2025-12-22 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7488596 EXCERPT: Senior Machine Learning Engineer, Perception LLM/VLM Mountain View, CA USA; San Francisco, CA USA; Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the --- TITLE: Staff Machine Learning Engineer, Multi-Modal Perception EMPLOYER: Waymo LOCATION: Mountain View, CA USA; San Francisco, CA USA; (unspecified) SALARY: $251K-$310K POSTED: 2026-06-08 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7991190 EXCERPT: Staff Machine Learning Engineer, Multi-Modal Perception Mountain View, CA USA; San Francisco, CA USA; Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the --- TITLE: Executive Business Partner EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $158K-$194K POSTED: 2026-05-06 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7895859 EXCERPT: Executive Business Partner Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Wherever Waymo works, Business Support teams are on the job. We're the partners who plan events, work with external partners, and orchestrate the daily activities of our teams and leaders, the real estate specialists who find and build amazing workspaces and research facilities; the systems experts who develop and run our intuitive IT and business tools. Together, we do everything it takes to keep Waymo rolling. In this role, you will report into our CEO onsite 4 to 5 days per week. You will: - Strategic CEO Partnership: You use superior judgment and independent discretion paired with a deep understanding of the business to act as a strategic partner to the CEO. You proactively manage the CEO's time, resolve complex scheduling conflicts, and prioritize critical business initiatives to ensure focus on the --- TITLE: Staff Software Engineer, Privacy EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $251K-$310K POSTED: 2026-01-21 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7547529 EXCERPT: Staff Software Engineer, Privacy Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As Waymo prepares to bring the Waymo Driver to European markets, we are seeking a Privacy Engineer to lead the technical architectural design and implementation of our global privacy systems. In this role, you will bridge the gap between legal requirements (GDPR) and technical reality. You will not just "manage" compliance; you will build the actual engines, data pipelines, and anonymization frameworks that allow our autonomous vehicles to operate in strict regulatory environments. You will work closely with Legal, Product, and AI/ML teams to ensure that Privacy by Design is baked into our sensor data ingestion, mapping technologies, and rider experience from day one. You will: - Architect for EU Compliance: Design and build data handling systems that satisfy strict GDPR requirements, "Right to be Forgotten" automation, and consent management frameworks --- TITLE: Senior Software Engineer, Training Efficiency EMPLOYER: Waymo LOCATION: Mountain View, California (unspecified) SALARY: $238K-$302K POSTED: 2025-08-11 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7121224 EXCERPT: Senior Software Engineer, Training Efficiency Mountain View, California Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo ML Infrastructure team works with Research and Production teams to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best solutions for the entire model development lifecycle. These solutions are developed in close collaboration with teams at Google. They are geared towards both scaling models and solving problems unique to ML for autonomous driving. You will improve the runtime efficiency of input data pipelines for large-scale training workloads. This is a unique opportunity to work on ML systems and improve on our model training processes. You Will: - Design, and improve distributed input data pipelines for large-scale ML training workloads. - Collaborate with researchers and ML engineers to resolve bottlenecks in data pipeline performance. - Improve runtime --- TITLE: Public Relations Lead, Product & Tech EMPLOYER: Waymo LOCATION: San Francisco, CA, USA (unspecified) SALARY: $238K-$294K POSTED: 2026-04-30 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7838882 EXCERPT: Public Relations Lead, Product & Tech San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As a member of the Communications team, you'll be on the cutting edge of bringing autonomous driving technology to the public, developing strategies that will increase understanding, acceptance, and adoption of this life-saving technology. We work with reporters, editors, bloggers, and other influencers to tell stories about Waymo and the potential of our technology to change how we move and live. We partner with the engineering, business, policy, marketing, and product teams to create messaging for new products and other initiatives, counter misinformation, and shape our reputation. This role follows a hybrid work schedule and reports to the Head of Public Relations. You will: - Lead communications strategy to elevate Waymo Product and Engineering/ Tech narratives to external audiences around the world. - Lead a team of communications professionals --- TITLE: Software Engineer, Onboard Reliability Infra EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $170K-$216K POSTED: 2025-12-15 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7461072 EXCERPT: Software Engineer, Onboard Reliability Infra Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner/Perception Reliability team builds out architectures, tools, and workflows to prevent, identify, and guide fixes of reliability issues. The team focuses on reliability and is accountable for onboard software health while ensuring high development velocity. In this hybrid role you will report to a Staff Software Engineer / Tech Lead Manager. You will: - Architect the backbone of onboard reliability: build the critical infrastructure and tooling ecosystem that ensures onboard software is robust and reliable by design. - Develop a deep understanding of system behavior, implementing dense, low-noise metrics providing immediate insight into vehicle and fleet performance. - Collaborate across Waymo to refine reliability workflows, ensuring business-critical operations run smoothly and safely at scale. - Engineer systems that proactively detect anomalies and automate clustering, drastically reducing the friction of --- TITLE: Staff Robotics Engineer EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $210K-$259K POSTED: 2026-04-08 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7788619 EXCERPT: Staff Robotics Engineer Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and reports to the Automation Manufacturing Lead. You will: - Subsystem Technical Ownership: Own the end-to-end lifecycle of modular, high-precision mechatronic cells and specialized robotic service modules within a broader automated framework. - Universal Framework Development: Architect modular mechanical and electrical systems that can be adapted across diverse AV service applications (e.g., transitioning a motion platform from a cleaning module to a charging or tire-service module). - Prototype Integration: Lead --- TITLE: Software Engineer, ML Inference, Simulation Infrastructure EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $170K-$216K POSTED: 2025-11-03 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7353876 EXCERPT: Software Engineer, ML Inference, Simulation Infrastructure Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulation Infrastructure team creates reliable, scalable, and cost-effective Simulation-based products that evaluate the Waymo Driver's software stack at a massive scale. We solve complex technical challenges to build services and tools for a broad range of customers Software Engineers, Product, Data Science, System Engineering, and more. So if you want to build the next generation of Simulation products and infrastructure, we'd love to hear from you! In this hybrid role you will report to the Software Engineering Manager. You will: - Build and evolve ML inference infrastructure for simulations. - Be responsible for the reliability, latency, and user experience of ML model deployment and serving. You have: - B.Sc. in Computer Science, or a related field, or equivalent years of experience - 3+ years --- TITLE: Demand Operations Manager - London EMPLOYER: Waymo LOCATION: London, England (unspecified) SALARY: GBP 92K-96K POSTED: 2026-06-01 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7974171 EXCERPT: Demand Operations Manager - London London, England Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. In this hybrid role, you will report to a UK Ops Lead You will: - Rider Experience & Multimodal Integration: Monitor, mitigate, and respond to service quality issues. Optimize demand matching around major demand clusters to position Waymo as a seamless first/last-mile transit partner. - Strategic Pre-positioning & Congestion Zones: Utilize internal systems and forecasting tools to oversee fleet staging, ensuring vehicles are positioned to meet real-time rider demand and minimize wait times across diverse territories.. - PUDO Performance & Red Routes: Own the end-to-end Pickup and Drop-off experience. Analyze performance data to eliminate friction points at complex curbsides, ensuring strict compliance with London's "Red Routes", bus lanes, and borough-specific parking restrictions. - High-Traffic Event Management: Lead operational planning for high-profile UK events (e.g., premier football matches, concerts at Wembley/O2 Arena, Wimbledon), --- TITLE: SAP Finance IT Business Analyst EMPLOYER: Waymo LOCATION: Mountain View, California, USA (unspecified) SALARY: $196K-$248K POSTED: 2026-01-02 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7435909 EXCERPT: SAP Finance IT Business Analyst Mountain View, California, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. In this hybrid role, you will report to a Senior Manager of Finance,Indirect Procurement & HR Systems. You will: - System Ownership & Strategy: Act as a subject matter expert in SAP FICO modules, BRIM, RAR, Group Reporting, and Planning/Consolidation modules, driving the strategic road map and continuous improvement of these systems. - Requirements Gathering & Analysis: Collaborate with Finance, Accounting, and other cross-functional business stakeholders to elicit, analyze, validate, and document detailed business requirements (user stories, process flows, --- TITLE: Field Quality Engineer EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $177K-$218K POSTED: 2026-05-28 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7964147 EXCERPT: Field Quality Engineer Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and reports to the hardware field quality lead . You will: - Champion field quality initiatives, collaborating with Engineering, Manufacturing, Supply Chain, Software, and Operations teams to enhance product quality and reliability throughout the product lifecycle. - Analyze fleet data to proactively identify emerging quality trends and systemic risks. - Lead cross-functional root cause analysis, containment, and resolution for complex field issues, ensuring corrective actions prevent recurrence. - Develop scalable --- TITLE: Staff Software Engineer, Simulation ML Infrastructure EMPLOYER: Waymo LOCATION: London, UK (unspecified) SALARY: GBP 155K-163K POSTED: 2025-02-19 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=6615783 EXCERPT: Staff Software Engineer, Simulation ML Infrastructure London, UK Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulation ML Infrastructure team builds scalable AI/ML infrastructure to accelerate the Simulator team in sustainably innovating and building state of the art simulations of realistic environments for the testing and training of the Waymo Driver. To increase the fidelity and steerability of the simulations, we employ large foundation models trained on massive datasets to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather etc. We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models in ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and distributed training will be required for designing and scaling our systems. This role reports to an Engineering Manager. --- TITLE: Systems Test Engineer, Weather and Special Projects EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $196K-$242K POSTED: 2026-04-17 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7822860 EXCERPT: Systems Test Engineer, Weather and Special Projects Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results. This role follows a hybrid work schedule and reports to Systems Test Engineering Manager. You will: - Lead the end-to-end execution of specialized testing calendars, ensuring seasonal and high-priority campaigns are planned, resourced, and successfully completed against project milestones - Translate complex and unusual internal test data needs into actionable test plans, defining the approach, facilities, and capabilities required to complete the testing safely and effectively - Serve as --- TITLE: Analysis Infra SWE EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $204K-$259K POSTED: 2025-12-09 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7438172 EXCERPT: Analysis Infra SWE Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You will: - Develop and maintain a data processing platform used by onboard and offboard teams to extract signals from petabytes of driving logs and simulation traces. - Design and build low-latency streaming data processing platform, enabling real-time identification of critical driving events. - Improve the reliability, scalability, and efficiency of our signal generation infrastructure, establishing SLOs and reducing operational toil for massive-scale data processing jobs. - Collaborate with cross-functional partners in Perception, Planner, and Data Science to migrate legacy pipelines to modern infrastructure and support new analytical use cases. You have: - BS or MS in Computer Science, Computer Engineering, or equivalent - 5+ years of professional experience in backend engineering, databases, and production monitoring (3+ years for L4, and relevant internship for L3) - Experience in leading projects and driving --- TITLE: Head of Global EHS EMPLOYER: Waymo LOCATION: Mountain View, CA, USA (unspecified) SALARY: $226K-$278K POSTED: 2026-06-04 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7977950 EXCERPT: Head of Global EHS Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. This role follows a hybrid work schedule and reports to the Global Head of Facilities and Occupational Safety . You will: - Set Global Strategy: Own Waymo's short- and long-term EHS objectives, providing oversight and guidance for all aspects of Waymo's environmental, health, and safety program. - Drive Digital Transformation: Act as the global business owner for EHS management software (e.g., Enablon, Cority, or similar), managing its implementation, configuration, and data integrity. - Lead and Mentor: Manage a team of six direct reports, navigating them through organizational change and growing future leaders through active mentorship and technical guidance. - Innovate Risk Management: Develop and lead innovative approaches and tools to overcome organizational barriers, introducing new methods to manage EHS risks globally to unlock business growth. - Govern Metrics & Policy: Own --- TITLE: Software Engineer EMPLOYER: Waymo LOCATION: PERM - N/A (unspecified) SALARY: $240K-$259K POSTED: 2026-05-27 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7960496 EXCERPT: Software Engineer PERM - N/A Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You will: - Design, develop, modify, and/or test software needed for various Waymo projects. Duties include: - design, document, plan, and implement complex software projects of varying scope that account for outside resource requirements; - perform thorough analysis and evaluation of technologies and features implemented, using tools like simulations and scientific computing; - build robust solutions to cutting-edge autonomous driving problems; work across teams, enabling rapid iterations in advancing autonomous driving technology; - utilize complex systems integration methodologies to break down complex problems and develop structured solutions; scale infrastructure and state-of-the-art technology to support new vehicle platforms and operating domains; and - utilize troubleshooting skills in areas of deep technical complexity, especially in the robotics domain. You have: - Master's degree (or foreign equivalent) in Robotics, Computer Science, Engineering or a related field and --- TITLE: Sr. Software Engineer, Marketplace ML Platform EMPLOYER: Waymo LOCATION: Mountain View, CA, United States (unspecified) SALARY: $175K-$215K POSTED: 2026-05-12 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7905693 EXCERPT: Sr. Software Engineer, Marketplace ML Platform Mountain View, CA, United States Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities. The Platform team is part of the Marketplace engineering: we provide specialized business platforms supporting Marketplace ML and Optimization products. We own and host core ML models used throughout the Marketplace; we automate all parts of the model life cycle, such as feature engineering, training workflows and inference services; we are working on next-generation Marketplace Simulation system capable to run high-fidelity virtual experiments; we also streamline diverse Marketplace Experimentation practices with the --- TITLE: Technical Lead Manager, Query & Storage SWE EMPLOYER: Waymo LOCATION: Mountain View, CA (unspecified) SALARY: $251K-$310K POSTED: 2026-05-22 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7917933 EXCERPT: Technical Lead Manager, Query & Storage SWE Mountain View, CA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. This role follows a hybrid work schedule and reports to Sr. Staff TLM You will: - Lead, mentor, and grow a team of software engineers, fostering a culture of engineering excellence, innovation, and collaboration. - Define and execute the technical roadmap of the data pipeline, storage, and query infrastructure for Waymo driver evolution and commercialization expansion - Drive the design, development, and operation of highly scalable, reliable, and efficient distributed systems for massive-scale data processing and analysis. - Collaborate closely with stakeholders across Engineering (e.g., Perception, Planner, Simulation) and Data Science to understand needs and deliver impactful solutions. - Own the end-to-end lifecycle of your team's systems, including architecture, implementation, testing, deployment, and monitoring. - Champion best practices in software development, system design, and operational excellence. You have: - --- TITLE: Staff Machine Learning Infrastructure Engineer, Simulation EMPLOYER: Waymo LOCATION: London, UK (unspecified) SALARY: GBP 155K-163K POSTED: 2026-06-01 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7943932 EXCERPT: Staff Machine Learning Infrastructure Engineer, Simulation London, UK Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulation ML Infrastructure team builds scalable AI/ML infrastructure to accelerate the Simulator team in sustainably innovating and building state of the art simulations of realistic environments for the testing and training of the Waymo Driver. To increase the fidelity and steerability of the simulations, we employ large foundation models trained on massive datasets to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather etc. We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models in ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and distributed training will be required for designing and scaling our systems. This role reports to an Engineering Manager. --- TITLE: Senior System Safety Engineer, Operations & Fleet Response EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; San Francisco, CA, USA (unspecified) SALARY: $241K-$297K POSTED: 2026-03-30 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7763316 EXCERPT: Senior System Safety Engineer, Operations & Fleet Response Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations. In this hybrid role, you will report into one of our System Safety Leads. You will: - Lead cross-functional safety analyses as subject matter expert to identify hazards, assess risks, define requirements, drive mitigation and verification --- TITLE: Software Engineer, GPU EMPLOYER: Waymo LOCATION: Mountain View, CA, USA; New York, NY, USA (unspecified) SALARY: $204K-$259K POSTED: 2026-01-23 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7554830 EXCERPT: Software Engineer, GPU Mountain View, CA, USA; New York, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. In this hybrid role, you will report to a Senior Software Engineer. You will: - Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across diverse GPU backends - Collaborate with --- TITLE: Senior Research Scientist, Foundation Model for Simulation EMPLOYER: Waymo LOCATION: Mountain View, CA USA; San Francisco, CA USA (unspecified) SALARY: $204K-$259K POSTED: 2025-08-26 APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7159299 EXCERPT: Senior Research Scientist, Foundation Model for Simulation Mountain View, CA USA; San Francisco, CA USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. In this hybrid role you will report to a Technical Lead Manager. You will: - Conduct applied foundation model research and development - Design compelling experiments by training and evaluating large deep learning models - Present results to peers and leadership - Write high quality code, unit tests, and documentation You have: - Masters or PhD in deep learning in behavior and agent modeling or simulation - Proficiency in --- [PASTE YOUR RESUME OR SKILLS HERE]