Waymo jobs

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

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. -

Senior Staff Technical Program Manager, International Compliance 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 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 follows a hybrid work schedule and you will report to a Director, Technical Program Management. You will: - Architect the Global Compliance Delivery Roadmap: Lead the implementation strategy and execution for foundational compliance with standards required to operate in international markets. - Coordinate Technical Certification Programs: Coordinate the end-to-end execution for critical

Staff Technical Lead Manager, ML Sensor Validation 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 at Waymo builds the system that "sees" the world around the self-driving car. We conduct novel research to address real-world perception problems and collaborate with research teams at Alphabet. Here at Waymo, we have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale. Improvements deployed to our system can immediately advance our large fleet of autonomous vehicles. Within Perception, the Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We process data from next-generation sensors on next-generation vehicle platforms

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

Senior Machine Learning Engineer, Robotics 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 require a

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

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

Staff Technical Lead Manager, Behaviors 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 Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver's behavior. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. As a Technical Lead, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities. In this hybrid role, you will report to an Engineering Manager. You will - Working closely with leads and TLMs in the org to design and implement horizontal solutions to solve behavioral driving issues in new geos - Build quantitative evaluation techniques to drive data driven development - Work closely with

Senior Software Engineer, Inertial Navigation Mountain View, California, 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 a diverse, 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. You will: - Develop algorithms to improve the accuracy and robustness of our core state estimation algorithm. - Engineer and deploy robust, production-quality C++ software to fuse data from inertial, GNSS, and other advanced sensors into our algorithm for both new and existing vehicle platforms. - Build and maintain tools, pipelines, and evaluation frameworks to rigorously assess positioning system performance across millions of miles of real-world driving data. - Leverage Waymo's massive datasets to

Principal Software Engineer, ML System Architect 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 Intelligence and ML team works with Research and Production teams to develop and deploy models that are core to our autonomous driving software. Waymo's AI is at the heart of this mission, and we are increasingly leveraging large-scale Foundation Models to unlock new capabilities for the Waymo Driver. Join Waymo to architect and build a unified, large-scale AI platform leveraging Google DeepMind's latest foundation models (like Gemini) for comprehensive world understanding and generation, to accelerate the development and distillation of models powering the world's most experienced driver. In this hybrid role, you will report to our Director of Engineering who leads Systems Intelligence and Machine Learning. We are seeking a deeply experienced Principal Software Engineer to provide the overarching technical vision, architectural design, and cross-team leadership to

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

Software Engineer, Statistical Evaluation and Sampling 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 Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: - Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. - Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. - Build systems that systematically optimize multiple objectives under resource constraints. - Collaborate with

Technical Program Manager, Onboard 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. 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. This role follows a hybrid work schedule and you will report to a Technical Program Manager. You will: - Drive cross-functional execution and delivery of projects within the onboard team, collaborating with engineering teams, product teams and release management - Manage project schedules, identify risks and dependencies, and develop mitigation strategies - Facilitate communication and collaboration between engineering, research,

Software Engineer, Mission Planning 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. Join our Waymo Driver Validation team, and help us design the future of transportation! We are looking for a passionate Software Engineer who wants to help build the systems that improve Waymo's core ride hailing and fleet management systems. You are someone who is product-minded. You will work on cross-cutting problems to require cross-team collaboration, both technically (mobile app, cloud backends, and the Waymo Driver) and functionally (operations, product, legal, partnerships, policy & privacy) to develop and deliver business critical infrastructure. In this hybrid role, you will report to an Engineering Manager. You will: - Help build and evolve mission-critical horizontal infrastructure and tooling that underpins all commercialization systems - Collaborate with other engineering teams to develop systems and processes as business needs grow and evolve - Help scale our systems to meet

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

Senior Manager, Construction 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 cars may be self-driving, but its construction projects are steered by experts like you. Safety is our foundation and is at the heart of everything we do. As Waymo's Global Head of Construction you will be responsible for the build out of a variety of facilities including Service Centers, EV Charging Facilities, Office, and Lab/ R&D typologies across the globe for Waymo in an extremely fast paced environment with a high degree of ambiguity. At every turn, process excellence, collaboration, and detailed cross-org communications are critical. This role follows a hybrid work schedule and reports to the Head of Project Delivery . You will - Contribute to the development of and manage a multi-year global CapEx budget. Forecast costs across regions, and drive value engineering to optimize

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

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

Senior Software Engineer, In-field Behavior 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. Drive the future of autonomous driving by solving complex, on-road challenges across the behavior stack. In this high-visibility role, you'll have a broad view of Waymo's operations, from fleet management to release deployment, as you engineer scalable solutions for one of two critical domains. In Service Quality Reasoning, you will protect Waymo's brand across pickups, drop-offs, and compliance around emergency and civic vehicles. In Intersection & Pedestrian Reasoning the focus is mitigating safety risks in high-stakes environments. You will: - Deploy to rapidly triage and root cause an active in-field issue. Directly launches features across the onboard and offboard stack to mitigate or solve the in-field behavioral issues. - In terms of scope, we will be growing the SWEs to be most effective in Intersections/Peds

Group Product Manager, London London, 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. 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. In this role, you will report to a Senior Director, Product Management. You will: - Drive on-the ground execution of Waymo's rider only service enablement and rollout in London and other cities in UK - Define roadmap for service expansion in UK by working cross-functionally with strategy, business development, product and

Senior Program Manager, AV Compliance - APAC Regulatory / シニア・プログラム・マネージャー（AVコンプライアンス - APAC規制担当） 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 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. Waymo の法務チームの一員として、Waymo の革新的な自動運転技術を取り巻く興味深い法的問題に取り組み、技術構想から大規模な商用展開まで、Waymo の事業部門の推進に貢献していただきます。Waymo は、公共政策、安全、セキュリティ、プライバシーの専門家と提携して、将来の自動運転の世界における交通政策を定義し、世界中のユーザーをサポートし保護する規制の改正について助言します。エンジニアリング、製品、戦略、運用の各チームと連携して、知的財産ポートフォリオを開発、保護し、企業取引および商取引を推進しています。ますます複雑化し、変化し続ける世界的な規制への準拠を保証します。また、注目度が高く先例となるような法的問題を予測して軽減し、訴訟を起こします In this

Staff PCBA DFM and Manufacturing 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 Advanced Manufacturing Manager. You will: - Define, develop, qualify, and scale-up PCB, PCBA, COB, and Packaging processes in collaboration with Contract Manufacturers (CM) to deliver manufacturing solutions for module assemblies, driving the complete manufacturing cycle (NPI, Supplier Bring-up and Transfer, High Volume Scaling and Sustaining), and ensuring sustaining of quality processes and compliance to Waymo's manufacturing standard. - Own and drive complex, high-impact

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