Waymo jobs

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 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),

Field Quality Engineer Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and reports to the hardware field quality lead . You will: - Champion field quality initiatives, collaborating with Engineering, Manufacturing, Supply Chain, Software, and Operations teams to enhance product quality and reliability throughout the product lifecycle. - Analyze fleet data to proactively identify emerging quality trends and systemic risks. - Lead cross-functional root cause analysis, containment, and resolution for complex field issues, ensuring corrective actions prevent recurrence. - Develop scalable

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

Head of Global EHS Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. This role follows a hybrid work schedule and reports to the Global Head of Facilities and Occupational Safety . You will: - Set Global Strategy: Own Waymo's short- and long-term EHS objectives, providing oversight and guidance for all aspects of Waymo's environmental, health, and safety program. - Drive Digital Transformation: Act as the global business owner for EHS management software (e.g., Enablon, Cority, or similar), managing its implementation, configuration, and data integrity. - Lead and Mentor: Manage a team of six direct reports, navigating them through organizational change and growing future leaders through active mentorship and technical guidance. - Innovate Risk Management: Develop and lead innovative approaches and tools to overcome organizational barriers, introducing new methods to manage EHS risks globally to unlock business growth. - Govern Metrics & Policy: Own

Sr. Software Engineer, Marketplace ML Platform Mountain View, CA, United States Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities. The Platform team is part of the Marketplace engineering: we provide specialized business platforms supporting Marketplace ML and Optimization products. We own and host core ML models used throughout the Marketplace; we automate all parts of the model life cycle, such as feature engineering, training workflows and inference services; we are working on next-generation Marketplace Simulation system capable to run high-fidelity virtual experiments; we also streamline diverse Marketplace Experimentation practices with the

Senior System Safety Engineer, Operations & Fleet Response Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations. In this hybrid role, you will report into one of our System Safety Leads. You will: - Lead cross-functional safety analyses as subject matter expert to identify hazards, assess risks, define requirements, drive mitigation and verification

Senior Research Scientist, Foundation Model for Simulation Mountain View, CA USA; San Francisco, CA USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. In this hybrid role you will report to a Technical Lead Manager. You will: - Conduct applied foundation model research and development - Design compelling experiments by training and evaluating large deep learning models - Present results to peers and leadership - Write high quality code, unit tests, and documentation You have: - Masters or PhD in deep learning in behavior and agent modeling or simulation - Proficiency in

Senior Staff Regulatory and Compliance Systems Engineer Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results. This role follows a hybrid work schedule and you will report directly into Systems Engineering Leadership. You will: - Provide technical thought leadership and will be consistently called upon in setting (scalable) strategy for (technical but regulatory) evidence generation. - Drive the implementation of functional safety requirements across platform systems and lower-level fault response frameworks - Deeply understand Waymo's safety framework methodologies, safety data, and

Senior Wireless Test Engineer Mountain View, Ca, USA; Fremont, Ca, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. This role follows a hybrid work schedule and reports and you will report to the EMC Lead You will: - Create, develop, test methods and test performance metrics for various wireless technologies (5G NR, LTE, Wi-Fi,

Software Engineer, Perception 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 Perception Evaluation team at Waymo is at the forefront of autonomous driving, ensuring the safety and reliability of our self-driving technology. We develop and utilize cutting-edge tools and methodologies to rigorously assess the performance of our Perception systems, a critical component for safe and effective autonomous operation. We are seeking a Software Engineer play a pivotal role in shaping the future of transportation by directly impacting the quality and reliability of Waymo's autonomous vehicles. In this hybrid role, you will report to an Engineering Manager. You will: - Develop and Implement Evaluation Tools: Design, code, test, and maintain software components for our perception evaluation pipelines and tools, primarily using C++ and Python. - Execute Evaluation Workflows: Run and monitor perception evaluation jobs, analyze results, and troubleshoot issues within the evaluation

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

Safety Case Research - Product Development Lead Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations. In this hybrid role, you will report to the Head of Safety Management. You will: - Drive the integration of safety case claims related to design and development processes, such as those related to: software development best

Senior Software Engineer, Sensor Test and Calibration 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 you will report to an Engineering Manager You will: - Develop automation software and calibration algorithms for LiDAR, Radar, and Cameras to push the state-of-the-art in autonomous vehicle sensor manufacturing - Develop Software for test and characterize board level, subassembly level, and vehicle level integration - Analyze next-gen prototype test results and collaborate with design team to evaluate design readiness - Develop SW tools for

Staff Machine Learning Engineer London, England, United Kingdom Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver. We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack. You will: - Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors. - Lead the implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors - Lead the development of cutting-edge Deep Learning models

Supplier Development Engineer, Asia 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: - Serve as the main supply chain point of contact for process and quality development at supplier sites. Evaluate technical data, develop recommendations, and resolve technical issues - Lead OK2X (OK2Tool, OK2Build, OK2Ship) deliverables in new product introduction phases and provide on-site support to ensure readiness of the supplier's manufacturing process and quality controls before each build - Identify

Software Engineer, Machine Learning/AI Accelerator 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 Compute team. You will: - Design and implement full stack solution from firmware, low-level drivers, APIs for ML accelerator chips

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

Senior Software Engineer, Simulation ML Infrastructure Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulation 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 IC 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 large-scale distributed systems will be required for designing and scaling our systems. This role reports

Software Engineer - Marketplace Experimentation Platform Mountain View, CA, United States Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Platform team is part of the Marketplace engineering: we provide specialized business platforms supporting Marketplace ML and Optimization products. We own and host core ML models used throughout the Marketplace; we automate all parts of the model life cycle, such as feature engineering, training workflows and inference services; we are working on next-generation Marketplace Simulation system capable to run high-fidelity virtual experiments; we also streamline diverse Marketplace Experimentation practices with the goal of providing unified user-friendly Experimentation platform You will: - Implement and scale the core economic engine for Waymo's ride-hailing commercial services. - Work on novel experimentation, simulation and analysis infrastructure supporting Marketplace product data science You have: - BS degree in Computer Science or equivalent practical experience - 4+ years of experience programming in backend

Senior ML Compiler Engineer, Compute Bangalore, Karnataka, India 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 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 with many other teammates to ensure we design and improve hardware and software for maximum performance. We are a diverse team looking for curious and talented teammates to work on one of the world's highest performance automotive compute platforms. This role follows a hybrid work schedule and you will report to a Software Engineering Manager. This position will require the ability to work some hours that align with the team in the Pacific Time zone on an as needed