Waymo jobs

Senior Staff TLM, Fleet Orchestration & Optimization 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. The Fleet Orchestration team automates the management of Waymo's self-driving fleets by optimizing vehicle servicing needs and maximizing critical in-service time . Y ou will lead a growing team of 20+ engineers and TLMs to design and implement core business logic and full-stack Android/Web systems for depot management . You will: - Lead a growing team of 20+ engineers and TLM's to build Waymo's Fleet Orchestration systems. - Design and implement core business logic determining vehicle servicing needs, routing to service locations, automated workflow execution. - Design and implement Android and Web full stack systems for Waymo's depot management needs. - Collaborate closely with Product Management, Operations, Data Science, and other stakeholders to solve critical business needs. You have: - BS degree in Computer Science or equivalent practical experience. -

Software Engineer, 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. In this team, 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: - Develop business logic software to evolve driving performance of the Waymo Driver - Work cross-functionally on safety, road rules compliance, and ride quality - Develop and implement methods to evaluate and improve Waymo driving behaviors - Evaluate new proposed

Full-Cycle Technical Recruiter, AI/ML Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's People team recruits and supports the world's best talent (including, we hope, you). Our HR business partners, program administrators, staffers, and compensation specialists help our employees attain their full potential in a healthy, considerate and supportive environment. In this hybrid role, you will report to the Recruiting Lead for Onboard Engineering. You will: - Contribute to the entire recruiting life-cycle, including sourcing activity, and make sure to build and execute against an equitable, inclusive, and accessible hiring system. - Manage hiring manager relationships - develop partnership with the hiring manager to help define the scope of their needs, advise on leveling, and help drive the hiring manager to a hiring decision. - Perform recruiting analyses and talent assessments to determine how best to optimize your search strategy and overall hiring

Brand Marketing Manager, Celebrity & Influencer 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. 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. This role follows a hybrid work schedule and reports to our Brand & Culture Marketing Lead. You will: - Lead and

Senior Android Platform Engineer 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. Waymo's commercial service is running in five cities, and the associated infrastructure is in an early stage and requires investment for Waymo to grow into a high scale, world-class service. We are building a team of engineers dedicated to further developing our Android Platform team. Our team works on the user interfaces used by customers to interact with our autonomous vehicles as well as provide entertainment and information while riding. This is a fullstack team, managing the bring up and maintenance of a complete automotive grade Android system. In this hybrid role, you will report to an Engineering Manager. You will: - Evaluate SoC vendor development kits - Develop update mechanism for Android OS and applications - Work with vendors, HW team and other stakeholders to define

Full Stack Engineer, Driver Validation 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 Fullstack 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 one or more mission-critical commercialization tools and systems - Collaborate with Product, UX, and other engineering teams across sites to develop user-facing products for external and internal use. You have: - Bachelor's degree

Brand Media Strategy & Analytics Manager 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. 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 a Brand Media & Analytics Lead. You will: - Lead the strategy and

Machine Learning Engineer, Simulation Realism 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 Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse,, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions. To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundation models trained on our datasets and diffusion technology. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple scenarios to rigorously test our autonomous driving systems.

Senior/Staff ML Engineer, 3D/4D World Modeling, Simulation 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 Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. We develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms, to model the real world, encompassing realistic agents, roads, traffic systems, weather, and the full sensor suite (Camera, Lidar, Radar). To accelerate the fidelity, scalability, controllability, and richness of our simulations, we are pushing the frontiers of 3D world modeling. We leverage state-of-the-art ML technologies trained on large-scale datasets to create dynamic and semantically rich virtual worlds, directly impacting the development and validation of the Waymo Driver. In this role, you will report to a Senior Staff

Staff Software Engineer, Linux Kernel 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 Onboard Infrastructure is responsible for low-level software and infrastructure on various components of the Waymo self-driving system. The team's scope covers everything from low-level system software to high-bandwidth data logging, IPC (low-latency and high-throughput), performance analysis, and full-system debugging. We work with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution in the industry. In this role, you will work on the System Software Team. The System Software team owns the primary compute node of Waymo's on-vehicle compute platform - an integrated embedded system. If you enjoy building embedded systems using novel compute hardware and working with engineering teams that will be direct consumers of your work, you'll be a great fit for this role. In this hybrid role,

Technical Lead Manager, Perception, Traffic Control Understanding 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 is solving one of the most complex challenges in autonomous driving: understanding the dynamic, unspoken rules of the road. The Scene Understanding team is at the forefront of this mission, tasked with generating real-time, scene-level semantic representations of the world - moving beyond individual bounding boxes to understand construction zones, temporary traffic controls, and complex road graphs. As a TLM for Scene Understanding, you will act as a true "player-coach" for a team of roughly 6-10 engineers. This is a high impact role, where your models will directly dictate how the Waymo Driver reacts to complex, unstructured environments like active construction zones and temporary traffic signs. This work is critical to Waymo's ability to scale into new cities, across the US and internationally.

Product Marketing Lead, 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.

Senior Machine Learning Engineer, Weather & Degraded Road Surfaces 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 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

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