Waymo jobs

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

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

Senior Backend Engineer, Security Mountain View, CA, USA ; San Francsico, 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 of infrastructure for driverless cars? Join the Waymo Commercialization team, and help design the future of transportation! We are looking for a passionate SWE who wants to help build the systems that manage and optimize Waymo's fleet management systems. The ideal candidate is someone who can be self-sufficient and product-minded. You will be working on cross-cutting problems that will require strong cross-team collaboration, both technically (security, cloud backends, and the Waymo Driver) and functionally (operations, product, legal, partnerships, policy & privacy) to develop and deliver business critical infrastructure. You will: - Help build and evolve one or more mission-critical commercialization tools and systems - Collaborate with Product, Security, and other engineering teams to develop systems and processes as business needs

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

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. -

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. -

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

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

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

Administrative 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 hybrid role, you will report into Executive Team Leadership. You will: - Independently execute essential administrative functions, including travel, expenses, confidential calendar management, and facilities coordination with limited guidance - Proactively solve problems, exercising sound judgment and discretion even with limited information - Collaborate effectively and build trust with executives, cross-functional partners (e.g., HR, Finance, Chief of Staff), and teams across the organization to

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

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

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

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,

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

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.

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

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

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

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

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

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

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

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