Waymo jobs

Senior Machine Learning Engineer, Computer Vision/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. In Semantics, our team's mission is to create the highest-fidelity, most comprehensive offboard perception autolabels at a massive scale, serving as the foundation for training and validating the AV stack. We are an advanced ML and engineering team that leverages state-of-the-art computer vision, deep learning, and generative AI to automatically analyze driving logs, generate rich scene understanding, and power the data engine that enables Waymo to scale safely and efficiently. In this hybrid role, you will report to a Technical Lead Manager. You will: - Develop and train state-of-the-art computer vision / multimodal models (e.g., Gemini) to extract the rich semantic information (e.g., object attributes, scene properties, interaction dynamics) required by the AI agent. - Design and implement a scalable AI agent framework that integrates

Software Engineer, Machine Learning Performance 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: - Design and implement technical solutions for performance optimization of individual ML models -

Head of Technical Talent Acquisition 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 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. We are seeking a seasoned, strategic, and data-driven Director of Engineering Recruiting to lead our technical talent acquisition function. Based in our Mountain View headquarters, you will be responsible for scaling our R&D recruiting strategy, mentoring a team of recruiting managers and ICs, and managing the end-to-end recruitment lifecycle. This role requires managing a blended workforce of full-time employees (FTE) and contractors, ensuring high-quality talent density, and fostering a strong partnership with Engineering leadership. In this hybrid role, would will report to the Head of Talent Acquisition. You will: - Strategic Leadership

Software Engineer, Sensor/Imaging 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. 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 the Tech Lead Manager of the Sensor Software Team. You will: - Report into Sensor organization - Collaborate closely with multidisciplinary teams-including Sensor, Signal Processing, Perception, and System Engineering-to drive hardware/software co-optimization, providing concrete data and analysis across guide design trade-offs and component selection - Automate processing, analysis, reporting, and visualization of image data collected from lab setups and self-driving vehicles

Senior Machine Learning Infrastructure Engineer, 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 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

Product Quality 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 the Product Quality Engineering Manager. You will: - Champions the quality within the product development team and facilitates the use of design methodologies to ensure products are functional, of high quality, reliable, and meet product specifications. - Ensure that the product design process, including activities like DFMEA, design reviews, DFM (Design for Manufacturing), and DFx, meets quality standards and results in a high-quality product. - Define and

Senior Motion Systems Engineer, Actuators 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 a Vehicle Systems Architecture Lead. You will: - Translate product and safety goals into tangible technical requirements. You will drive architectural trade-off discussions regarding performance, fault tolerance, and reliability - Serve as the primary technical interface between internal software teams and external hardware suppliers (OEMs/Tier 1s) to resolve integration gaps and deviations early in the design phase - Review verification strategies for qualifying

Senior Systems Engineer, Vehicle Body Control Systems 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 a Systems Engineering Manager. You will: - Define OEM Requirements & Architecture: Collaborate with internal product teams and external OEM partners to author requirements for vehicle Body Control systems, network architectures, and functional safety interfaces - Develop Embedded Software/Hardware Specifications: Write detailed requirements for internal embedded software and hardware adjacencies to implement Body Control functions (e.g., doors, locks, windows, HVAC, lighting,

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. -

Deals Finance Manager 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. Our Driver may be autonomous, but Waymo's finances are steered by experts like you. The Finance and Accounting group manages all aspects of our finances and serves as trusted advisors for all our strategic and enterprise endeavors. Along with managing compilation of our financial statements, looking after our cash and overseeing compliance, we partner closely with the business in overseeing company wide resource allocation, developing cutting edge compensation initiatives and generating detailed financial analyses to drive the business forward. We also develop advanced capital strategies to support the company's short- and long-term future. In this hybrid role, you will report to the Head of Strategic Finance, Commercial Finance and Corporate FP&A. You will: - Collaborate on the Deal Lifecycle: Partner cross-functionally to co-develop complex fleet partnership models, ensuring

Software Engineer, Planner Vehicle Dynamics 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. In this role, you'll: - Work with a creative team of people who are responsible for ensuring that the behavior of our cars is safe, dynamically feasible, reliable, and comfortable in environments where inputs can be noisy, uncertain, or incomplete. - Design and deploy algorithms to measure the performance of state of the art technology for handling any kind of weather and degraded conditions that are scalable to different cities and scenarios. - Work on a bleeding edge project at the intersection of traditional robotics and modern ML techniques. At a minimum we'd like you to have: - BS/MS/PHD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience - Experience with building, integrating, debugging and evaluating ML-based systems - Strong experience with Python for data analysis -

Software Technical Lead Manager, Test Automation Infrastructure 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 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 the Director of Systems Test Engineering. You will: - Architect a Testing Continuum: Define and drive the technical roadmap for a seamless testing continuum, bridging the gap between virtual simulation and high-fidelity hardware-in-the-loop (HIL) environments and enabling automated orchestration, execution, and analysis across the spectrum of test environments - Scale HIL Infrastructure: Oversee the development and scaling of our

Software Engineer, Model Lifecycle Kirkland, Washington, 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 core challenge within Model Lifecycle is accelerating Waymo's ML development cycle. As we scale to new cities and vehicle platforms, our data volume is exploding, and our models are becoming more complex, handling more and more tasks. This team is critical to controlling that complexity. In this hybrid role, you will report to an engineering manager. You will: - Design, build, and maintain scalable data pipelines to process many petabytes of complex sensor data, making it ready for efficient model training and evaluation. - Develop infrastructure to produce reliable, high-quality datasets for a wide range of ML models, from real-time on-car models to large-scale offboard foundation models. - Build towards an automated, unified data flywheel -- a datagen and ingestion solution that seamlessly connects data curation to model training. - Develop

Systems Engineer, Driving Behaviors 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. 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 the Manager of Systems Engineering, Driving Behaviors. You will: - Collaborate with cross-functional teams to craft requirements that align with safety, regulatory, and product needs - Gather and analyze critical data to define metrics, qualify systems for release, and influence system design decisions based on evidence-based insights - Create and maintain clear, precise documentation to support system designs, decisions,

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. -

Market Security Lead (SF) 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. As a key leader in the Physical Security organization, you will ensure the successful delivery of site security programs, identifying ways to standardize services across diverse environments including corporate offices, vehicle depots, parking locations, and technical labs. This position is based onsite at one of our primary hubs. In this hybrid role, you will report to the Head of Physical Security Operations You will: - Provide Tactical Site Oversight: Maintain a daily presence at local sites to ensure all security protocols are being followed and that the physical environment remains secure. - Manage Onsite Vendor Supervision: Provide direct, "on the ground" oversight of the contracted guard force, ensuring high performance, adherence to post orders, and immediate correction of service gaps. - Serve as the Local Stakeholder POC: Act as the primary

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

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),

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

Charging Infrastructure Program Manager London, United Kingdom, 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. Our vehicles drive themselves, but you will be the driving force behind our charging infrastructure strategy. In this high-impact, strategic role, you will oversee the rapid, high-volume deployment of EV charging infrastructure while providing end-to-end operational oversight for our network. You will establish a scaled, repeatable process for the entire deployment lifecycle-including site selection, design, and construction-while managing ongoing asset maintenance, energy optimization, and lifecycle planning. In this hybrid role you will report to the Director of Global Workplace & eMobility You will: - End-to-End Infrastructure Deployment: Oversee the planning, design, procurement, and construction delivery of EV charging stations (including DC Fast Chargers) across multiple sites, ensuring adherence to project schedules and organizational standards - eMobility Strategy & Sustainability: Define the comprehensive eMobility strategy, including targets for fleet electrification and charging

Senior Safety Researcher, Computational Behavior Modeling 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 Senior Staff Safety Researcher, Human Behavior. You will: - Be a technical leader in the area of computational road user behavior modeling - Research and develop metrics and computational models of road user

Senior FP&A Analyst - Supply Chain 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. Our Driver may be autonomous, but Waymo's finances are steered by experts like you. The Finance and Accounting group manages all aspects of our finances and serves as trusted advisors for all our strategic and enterprise endeavors. Along with managing compilation of our financial statements, looking after our cash and overseeing compliance, we partner closely with the business in overseeing company wide resource allocation, developing cutting edge compensation initiatives and generating detailed financial analyses to drive the business forward. We also develop advanced capital strategies to support the company's short- and long-term future. In this hybrid role, you will report to the Head of Business Finance. You will: - Lead monthly, quarterly, and annual planning cycles for Supply Chain Finance. Investigate gaps between actual costs and budgets to uncover

Staff Software Engineer / Technical Lead Manager 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. You will: - Collaborative - work across team boundaries - Cross-functional - work with PM, UX, legal, operations, or other non-engineering roles - Independence / leadership - take ownership and drive efforts to completion - Technical road map definition experience - Performance management experience You have: - BS degree in Computer Science or equivalent practical experience - 6+ years experience working with backend tech (e.g. C++, Spanner, or others) - 6+ years of experience with Front End (Angular, Javascript, React, etc) - 5+ years of people management experience - TL or leadership skills - Experience in product development lifecycle We prefer: - Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent - Development experience with C++ or other backend programming languages - Development

Head of Technical Services 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 Director of Global Workplace & eMobility. You will: - Technical Ownership & Architecture: Define the technical direction and architecture for both building automation systems (BAS) and internal technical services, focusing heavily on system sustainability, scalability, and long-term risk mitigation. - Lead System Integration: Act as the Master Systems Integrator, managing the installation, configuration, and integration of on-premise and cloud service architectures across disparate building systems and protocols. - Escalation Point & Crisis Management: Serve as the primary technical contact during major incidents, leading root cause analysis (RCA) and driving permanent fixes (3rd level support) under pressure. - Drive Programming & Design: Oversee the creation of control submittals, panel layouts, and controller programming (graphical block and line code), while enforcing coding