Waymo jobs

Public Affairs Manager, Texas Remote, 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 continues it's expansion, Texas represents a significant milestone in domestic scaling. We're looking for a strategic ambassador to earn the community trust required to unlock Texas. Help us build the public affairs blueprint for Waymo's future from the ground up. The Public Affairs team is within the Marketing, Communication and Public Affairs organization at Waymo. In this remote role, you will report to a Public Affairs Manager You will: - Strategic Relationship Management: Develop and sustain high-level partnerships with influential nonprofit organizations (e.g., road safety, accessibility) and non-elected community leaders to build long-term trust and maintain Waymo's ability to operate in our Texas markets. - Campaign Strategy & Community Organizing: Execute Waymo's TX strategy for public affairs campaigns and grassroots organizing, collaborating with cross-functional working groups to align local community interests

Product Marketing Manager, Market Growth & Expansion Mountain View, CA, USA; San Francisco, CA, USA; New York, New York, 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. On the Waymo Marketing team, you will help to connect people with the magic and impact of Waymo's autonomous driving technology. Our team has the unique opportunity to not only grow Waymo's brand from the ground up, but to also build societal acceptance for autonomous driving technology for the first time in history. We build thoughtful marketing strategy, positioning, messaging and creative assets to deliver messages that matter to our audience, communicated through anything from video content, to social media interactions, to immersive physical experiences. We also shape Waymo's go-to-market initiatives, helping to transform Waymo into a thriving business with a growing user base. In this hybrid role, you will report to our Group Product and Growth Marketing Lead.

Brand Partnerships Lead San Francisco, CA, USA; Mountain View, CA, USA; Los Angeles, 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. On the Waymo Marketing team, you will help to connect people with the magic and impact of Waymo's autonomous driving technology. Our team has the unique opportunity to not only grow Waymo's brand from the ground up, but to also build societal acceptance for autonomous driving technology for the first time in history. We build thoughtful marketing strategy, positioning, messaging and creative assets to deliver messages that matter to our audience, communicated through anything from video content, to social media interactions, to immersive physical experiences. We also shape Waymo's go-to-market initiatives, helping to transform Waymo into a thriving business with a growing user base. In this hybrid role, you will report to the Brand Marketing & Operations Lead. You will: - Define Vertical Partnership

Senior Software Engineer - Multiverse 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. Our mission within the Driver Understanding and Evaluation (DUE) team at Waymo is to develop rich metrics for understanding the behavior of the Waymo Driver in the real world. In this hybrid role, you will report to a Software Engineering Manager. You will: - Build the infrastructure to administer a "virtual driver's test" for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines to evaluate the driving capability of the Waymo Driver. - Improve the signal quality provided by the "virtual driver's test". Improve the quality of individual simulations and that of the overarching simulation workflows. Try to answer whether the results of the "virtual driver's test" are predictive of the Waymo Driver's real-world driving behavior. - Apply ML models

Hardware Lead, In-Vehicle Infotainment 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 a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are at the heart 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. Waymo's Compute Systems Team is responsible for delivering the core compute platforms to the vehicle. This includes high performance compute, safety-critical embedded systems, infotainment, telematics, and more. We are often at the center of the vehicle system architecture, and take on key roles in setting the vision, defining the architecture, and delivering on our products. This role follows a hybrid work schedule and will report to a Manager of Technical Program Management. You will: - Deliver

Senior Staff Program Manager, Expansion 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 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 reports to a Director of Technical Program Management. You will: - Lead international expansion program management, building robust and scalable structures to bring Waymo to more countries - Evolve the new market framework to account for future growth into new regions - Drive and own critical path

Research Scientist, RL for Autonomous Planning & World Modeling Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. In this hybrid role, you will report to a Principal Scientist. You will: - Participate in Waymo's Foundation World Model post-training and evaluation - Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle

OEM Platform Integration 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 a Manager of Systems Architecture Integration & Diagnostics. You will: - Lead investigation and troubleshooting of software and electrical integration issues between Waymo and OEM systems - Collaborate with system owners and subject matter experts both within Waymo and at OEMs to scope integration derisking, troubleshoot integration issues, and coordinate change deployment - Contribute to evolving Waymo's platform integration strategy, processes, and tools - Provide expert

Senior Machine Learning Engineer – VLM/LLM Evaluation Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer. You will: - Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used

Senior Technical Program Manager, Resource Management San Francisco, CA, USA; Mountain View, CA, USA; Kirkland, WA, USA; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Technical Program Managers are accountable for Waymo's roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies. As a Technical Program Manager for Resource Management, you will be a key individual contributor focused on the operational execution of capacity and resource management for Waymo's vital compute and storage infrastructure. You will drive tactical resource allocation, support long-term planning, and collaborate closely with partners

Senior Software Engineer, Statistical Evaluation and Sampling 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. 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

Mechanical Engineer, Vehicle Engineering Mountain View, CA, USA ; Novi, MI, 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 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. This hybrid role will report to a Vehicle Engineering Leader. You will: - Engineering custom vehicle structures and trim for the Waymo vehicles - Working closely with OEM partners to co-define changes to base vehicle architecture/ components for specific Waymo needs - Collaboratively working with internal Waymo partner teams, E.G. Styling, Product, System Architecture, Manufacturing, Supply Chain etc to understand their needs and Engineer solutions that meet their requirements - Interface

Real Estate Portfolio Manager Mountain View, California, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Infrastructure is at the core of Waymo's commercial business, driving all our initiatives. Our depots and charging sites are critical for keeping cars on the road and directly impact the business's bottom line. Waymo's Real Estate Portfolio Manager is responsible for maintaining and optimizing Waymo's leased and owned real estate portfolio through effective asset management, process improvement and strategic decision making. This role will manage all aspects of Waymo's real estate portfolio, including lease compliance, portfolio optimization, asset management coordination, valuation and reporting and risk management. In this hybrid role, you will report to a Director of Real Estate and Transactions. You will: - Perform strategic portfolio analysis and support business stakeholders throughout the leased and owned life cycle of the real estate asset - Create and track key portfolio metrics,

Software Engineer, Booking 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. Want to build the front doors to the future of transportation? The Booking team is responsible for some of the most critical, high-impact, user-facing flows in the app - directly enabling users to hail and control Waymo's autonomous vehicles with industry-leading UX. We solve complex user-facing challenges: building intelligent scheduling features, supporting diverse hailing modalities beyond standard ride-hailing, designing intelligent search and suggestions, and creating many other offers and experiences that we can't share just yet. We're a small team with huge plans, and we'd love for you to join us! You will: - Work on a small team designing, building, and maintaining highly scalable core services that are the front door to Waymo's Marketplace. Directly enable users to hail and control Waymo's autonomous vehicles. - Ensure high reliability, low latency,

Senior Staff TLM, Perception, Object Detection Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and

Principal Software Engineer, Perception Pretraining 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 technology that powers the Waymo Driver. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct 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, allowing ML practitioners like you to develop multi-modal models and techniques at scale. You will report to our Director of Engineering in our Perception Organization. You will: - Develop sensor-fusion foundation models for the Waymo Driver which can run on the car and provide a temporal-spatial understanding of the surrounding environment - Solve large-scale, multi-stage training of sensor

Technical Program Manager, Systems Engineering San Francisco, CA,US; Mountain View, CA, US Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Technical Program Managers and Program Managers are accountable for Waymo's roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies. This role follow a hybrid work schedule and reports to the Director, Technical Program Management. You will: - Identify gaps and propose changes to existing policy, systems, and process frameworks - Develop scalable solutions and work to manage risks across the organization and develop best practices that are a benefit across the organization

Software Engineer, Multiverse 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. The Multiverse team at Waymo is responsible for the end-to-end evaluation of our autonomous driving software. We don't just look at what happened; we look at what could have happened. Using a mix of real-world testing and counterfactual simulation, we stress-test the Waymo Driver's safety and reliability before it ever hits the road. Join us in the Driver Understanding and Evaluation (DUE) group to develop the rich metrics that define the future of autonomous mobility. You will: - Build the infrastructure to administer a “virtual driver's test” for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines and/or real world monitoring in order to evaluate the driving capability of the Waymo Driver, and at low latency in the real world. - Improve the signal quality provided

Staff TLM, Perception, Continuous Learning & Monitoring Mountain View, California, United States; San Francisco, California, United States Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with

Staff Machine Learning Engineer – VLM/LLM Evaluation Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer. You will: - Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used

Staff Technical Lead Manager, Planner Reasoning 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

Ridehailing, Site Reliability Engineer Warsaw, Masovian Voivodeship, Poland Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's software reliability engineers (SRE) are responsible for the stable operation of Waymo's fully autonomous systems and supporting infrastructure. As an SRE, you combine software and systems engineering techniques to build and run large-scale, fault-tolerant, reliable systems. You focus on optimizing existing systems, building new infrastructure, eliminating manual, error-prone or time-consuming work through automation, and ensuring products that are fast, efficient, and effective. This role follows a hybrid work schedule and reports to the Tech Lead Manager. You will: - Become a Waymo production expert, and collaborate with other engineers to build reliable systems for autonomous vehicle operations, including depot logistics, automation flow, and critical vehicle state infrastructure - Manage end-to-end availability and performance for core fleet services, ensuring we have enough usable vehicle supply available to meet targeted user demand,

Software Quality Operations Specialist Remote, 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 Software Quality Operations (SWQOPS) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service. Waymo is experiencing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps, particularly our Technical Specialists, are critical to this expansion, enabling us to scale safely and efficiently. Why this team is Essential to Waymo's Success: In this role you will: - Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. - Leverage AI-powered insights

Program Manager, New Markets & Platforms 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. The Software Quality Operations (SWQ Ops) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service. This role follows a hybrid work schedule and reports to a SWQ Ops Triage Program Manager Team Lead. Waymo is undergoing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps plays a critical role in this expansion, making it possible to scale safely and efficiently. We are on the front lines of: - De-risking New Deployments: Through meticulous triage of driving events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical