Waymo OS Implementation Manager

Waymo is at the forefront of autonomous driving technology, aspiring to become the most trusted driver globally. Our journey began in 2009 as the Google Self-Driving Car Project, and we've since dedicated ourselves to developing the Waymo Driver—The World's Most Experienced Driver™. This innovation aims to enhance mobility access and significantly reduce the…

Join Waymo, a pioneer in autonomous vehicle technology, as the Operations System Manager. In this key role, you will oversee and streamline operations, ensuring the efficient running of our cutting-edge systems. Your leadership will be vital in driving innovations and optimizing processes to enhance our service delivery.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access while saving countless lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips taken, our driver has autonomously covered over 100 million miles on public roads and engaged in tens of billions of miles in simulation across more than 15 U.S. states.The Waymo Mapping team is tasked with creating an ultra-high-resolution map of the world to ensure safe autonomous driving. We employ a blend of automated and manual techniques to generate the map and develop the necessary infrastructure for storing, processing, and distributing this crucial data. Our team partners closely with various Waymo teams that rely on map data.In this role, you will:Lead a talented group of software engineers to scale our mapping infrastructure and revolutionize the mapping schema.Assess and implement machine learning models that autonomously generate maps from raw data.Collaborate with onboard teams to refine Waymo’s mapping format for better automation compatibility.Develop backend infrastructure for the storage and processing of diverse map data.Expand our systems to facilitate global mapping efforts.

Waymo is seeking a dedicated and innovative Product Manager to join our Vehicle team. In this role, you will drive the development and enhancement of our cutting-edge vehicle technology, collaborating with cross-functional teams to deliver exceptional products that redefine transportation.You will play a pivotal role in shaping the future of mobility, utilizing data-driven insights to inform product decisions and create compelling user experiences. If you are passionate about technology and eager to make a significant impact in the automotive industry, we want to hear from you!

Waymo is at the forefront of autonomous driving technology, striving to be the world's most trusted driver. Originating from the Google Self-Driving Car Project launched in 2009, Waymo is dedicated to developing the Waymo Driver—dubbed The World's Most Experienced Driver™—to enhance mobility access and significantly reduce the alarming number of lives lost due to traffic accidents. Our Waymo Driver powers a fully autonomous ride-hail service and can be adapted for various vehicle platforms and applications. With over ten million successful rider-only trips and extensive autonomous driving experience spanning over 100 million real-world miles and tens of billions of simulated miles across more than 15 states in the U.S., we are committed to transforming transportation.Join Waymo's mission-driven Product Management Team, where we design and implement pioneering strategies to introduce fully autonomous driving technology to the market. Our team excels in crafting straightforward solutions for intricate challenges by coordinating cross-functional initiatives that propel Waymo's technology and its associated products forward. We prioritize understanding our customers, the business landscape, and the underlying technology. Our approach is rooted in humility, collaboration, and an ambitious vision for the future.This position follows a hybrid work schedule, reporting directly to a Group Product Manager.Your Responsibilities:Develop a comprehensive product roadmap and define requirements for planning, utilizing product insights and fostering alignment throughout the organization.Engage with Planner and AI/ML technologies to enable the Waymo Driver's expansion within domestic and international markets, as well as across diverse hardware platforms.Collaborate with fellow Product Managers and cross-functional teams to identify long-term product focus areas, guiding technology and engineering initiatives to tackle them effectively.Analyze real-world data from our fleet's miles, establishing requirements and guiding the team to make informed decisions balancing capability, engineering complexity, and other factors.Work synergistically with Product Managers, Operations, Systems Engineering, and additional Waymo teams to launch products that save lives and innovate transportation.

Join Waymo as a Global Supply Manager, where you will play a pivotal role in optimizing our supply chain operations. You will be responsible for sourcing, negotiating, and managing relationships with our suppliers to ensure we maintain our high standards of quality and efficiency. This is an exciting opportunity to work with cutting-edge technology and contribute to the future of autonomous driving.

Waymo is an innovative leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic accidents. Our Waymo Driver powers a fully autonomous ride-hail service, having completed over ten million rider-only trips, backed by vast experience driving over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.Within our Driver Understanding and Evaluation (DUE) team, we strive to develop comprehensive metrics for analyzing the Waymo Driver's behavior in real-world scenarios.In this hybrid role, you will report directly to a Software Engineering Manager.

Waymo, an innovative leader in autonomous driving technology, is on a mission to redefine mobility by creating the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—aimed at enhancing mobility access and preventing traffic-related fatalities. Our autonomous ride-hail service, powered by the Waymo Driver, has completed over ten million trips, with an impressive track record of driving more than 100 million miles on public roads and tens of billions in simulations across 15+ U.S. states.The Perception team plays a crucial role in this journey by constructing systems that learn and interpret the spatial-temporal representations and semantic meanings of the environments surrounding our self-driving vehicles. We collaborate closely with other teams to optimize and integrate these systems into the Waymo Driver, while also conducting cutting-edge research to tackle real-world challenges. Our engineers leverage vast datasets from diverse sensors, allowing them to (1) devise methods for continuously learning from large-scale real-world data, (2) create scalable models and training processes, (3) analyze real-world behaviors to navigate complex interactions, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager within the Semantics subgroup of our Perception organization.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and product applications. With over ten million rider-only trips and more than 100 million miles driven on public roads, alongside tens of billions of miles simulated across 15+ U.S. states, Waymo is leading the way in autonomous transportation.The Waymo Safety team is pivotal in fostering and enhancing the safety of our fully autonomous driving technology. Our specialists formulate safety objectives and strategies, conducting thorough safety engineering analyses to integrate safety considerations at every stage of vehicle design and development. This team also develops and advocates for safety policies for autonomous vehicles, liaising with regulatory bodies, lawmakers, law enforcement, and public and non-profit organizations to ensure compliance with environmental, health, and safety regulations.In this hybrid role, you will report to one of our System Safety Leads.Your responsibilities will include:Leading cross-functional initiatives to perform safety analyses, identifying potential hazards and their origins, assessing safety risks both qualitatively and quantitatively, defining safety requirements, influencing design decisions, proposing mitigation strategies, and supporting verification processes.Engaging in hardware, software, and operations/product design and readiness reviews to ensure safety requirements and mitigations are effectively implemented in the field.Advising on the adoption and adaptation of pertinent safety standards and industry best practices, ensuring Waymo and its partners meet relevant safety regulations.Evaluating the ongoing effectiveness of risk control strategies and aiding in the identification of new hazards.Leading the definition, implementation, and enhancement of relevant System Safety processes while nurturing our safety culture within Waymo.Integrating the System Safety Methodology with other methodologies within the Waymo safety framework.

Waymo, originally launched as the Google Self-Driving Car Project in 2009, has become a leader in autonomous driving. The company’s technology has powered over ten million rider-only trips and logged more than 100 million miles on public roads, with extensive simulation testing across more than 15 U.S. states. Waymo focuses on fully autonomous ride-hail services and adapts its technology to various vehicle platforms, aiming to improve mobility and road safety. The Hardware Engineering group at Waymo brings together experts in electrical, mechanical, reliability, software, and vehicle engineering. This team is responsible for designing, building, and refining the sensory systems that help autonomous vehicles perceive their environment. Team members value collaboration and curiosity as they integrate new technologies into vehicle platforms. Role overview The Sensor Electrical Engineer will join the Hardware/Sensor team and report to the Sensors Hardware Lead. This hybrid role is based in Mountain View, CA. What you will do Oversee the entire product life cycle for sensor technologies, from initial design and development through to mass production. Collaborate closely with cross-functional teams, including software, mechanical, and manufacturing partners, to deliver reliable and innovative engineering solutions. Location and work model This position is located in Mountain View, CA and follows a hybrid work schedule.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—the world's most experienced driver™—with the aim of enhancing mobility access while preventing the countless lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips under its belt and extensive experience driving more than 100 million miles on public roads, complemented by extensive simulations across 15+ U.S. states, Waymo is leading the charge in safe and efficient transportation solutions.The Planner Evaluation team addresses a pivotal challenge in autonomous driving: enhancing and quantifying the software that drives our vehicles. We seek seasoned data-driven software engineers and data scientists passionate about autonomous vehicles and utilizing complex data to drive informed decisions. This is the perfect opportunity for someone eager to make a significant impact in the field!In this hybrid role, you will report directly to an Engineering Manager.You will:Develop performance metrics and driving quality signals for the Waymo driver utilizing various techniques, including statistics, mathematics, physics, algorithms, and machine learning.Innovatively use simulations and analyze real-world driving logs to assess driving performance.Design and implement robust methods to strengthen the correlation between changes in onboard software and simulated results.Advocate for code quality and best practices within a large and intricate code base.Analyze data and provide insights for enhancing metric quality and interpretability.Collaborate effectively with engineers, data scientists, statisticians, and leadership to deliver evaluation products and facilitate data-driven decisions.Rapidly validate the effectiveness of additional coverage, ensuring solutions are robust for customer teams to manage their own evaluations.

At Waymo, we are pioneers in autonomous driving technology, dedicated to becoming the world's most trusted driver. Since our inception as the Google Self-Driving Car Project in 2009, we have been committed to advancing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver drives our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated and experience from over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states, we are at the forefront of this technological revolution.The Simulator Team at Waymo is tasked with creating cutting-edge simulations of realistic environments for the rigorous testing and training of the Waymo Driver. Our diverse and collaborative team consists of software engineers, machine learning (ML) engineers, and data scientists, all focused on developing industry-leading simulation solutions utilizing advanced ML algorithms that assess and enhance the Waymo Driver’s performance. We model the real world in detail, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, weather conditions, and a comprehensive sensor suite featuring cameras, LiDAR, and radars.In this hybrid role, you will report to a Senior Engineering Manager.Your Responsibilities:Design and develop robust C++ software systems and infrastructure for our realistic world generation platform, ensuring seamless integration with downstream Waymo applications.Collaborate closely with simulation, onboard, and system engineers, as well as data scientists to drive critical milestones for Waymo.Monitor, enhance, and ensure the performance, scalability, testing, and reliability of our platform.Engage with fellow engineers to architect the long-term vision of the system.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's mission centers on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to reduce the thousands of lives lost annually due to traffic accidents. The Waymo Driver is the backbone of Waymo's fully autonomous ride-hailing service and has the potential to be integrated across a variety of vehicle platforms and use cases. With over ten million trips completed and more than 100 million miles driven autonomously across 15+ U.S. states, Waymo is leading the charge toward safer roads.As a critical element of scaling our ride-hailing service, rigorous performance evaluation of the Waymo Driver is essential in achieving our ambitious objectives. Our data scientists collaborate closely with engineering teams through every phase of the software development lifecycle, utilizing statistical models and crafting metrics to ensure the Waymo Driver adheres to our stringent safety, compliance, and service quality standards. The unique challenges posed by autonomous driving create a new paradigm for data science, where we not only analyze real-world data but also generate high-quality synthetic data through advanced simulation technologies, providing richer signals and tackling complex estimation and experimental design issues.In this hybrid role, you will report to a Data Science Manager.

Waymo, an innovative leader in autonomous driving technology, is committed to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic incidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips and driven over 100 million miles on public roads, Waymo is at the forefront of redefining transportation safety and accessibility.As we scale our ride-hailing service, rigorous performance evaluation of the Waymo Driver is essential to achieving our ambitious goals. Our data scientists collaborate closely with engineering teams throughout the software development cycle, utilizing statistical models and developing metrics and frameworks to ensure the Waymo Driver meets our high standards for safety, compliance, and service quality. The unique challenges of autonomous driving also introduce new paradigms in data science, where we not only analyze real-world data but also generate our own data using advanced simulation technologies, leading to richer insights and innovative solutions in estimation and experimental design.In this hybrid role, you will report directly to a data science manager.

Waymo LLC develops autonomous driving technology in Mountain View, CA, with a mission to improve road safety and mobility. Since its origins as the Google Self-Driving Car Project in 2009, Waymo has logged over 100 million miles on public roads and completed more than ten million rider-only trips across more than 15 states. Perception Team The Perception team builds the systems that allow the Waymo Driver to understand its surroundings, make decisions in real time, and ensure passenger safety. This work relies on large-scale, multi-modal machine learning models trained on millions of miles of sensor data. Role overview This Principal Software Engineer (hybrid) will report directly to the Senior Director of Engineering, Perception. The position focuses on advancing the Waymo Driver’s post-training capabilities and supporting the technology roadmap for perception models. Key responsibilities Partner with Onboard model engineers to prototype and test new model designs and training methods before they move to production. Create infrastructure for model experimentation, including robust data and evaluation frameworks. Lead the post-training technology roadmap, exploring reinforcement learning and related techniques. Support production rollout of major improvements in model architecture and training recipes to address diverse behavioral situations. Foster strong partnerships between Onboard and research teams within Waymo and Alphabet. Collaborate with Onboard and other stakeholders to evolve and execute the post-training recipe roadmap for significant advancements and production impact.

Waymo is at the forefront of autonomous driving technology, with a mission to establish itself as the world's most trusted driver. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility while significantly reducing traffic-related fatalities. The Waymo Driver powers a fully autonomous ride-hail service and can be adapted across various vehicle platforms and use cases, having completed over ten million rider-only trips and driven more than 100 million miles on public roads.Driven by a passion for aesthetics and innovation, Waymo’s Industrial Design Team envisions the future of mobility and autonomous technology. This team develops and implements a cohesive design language for the Waymo Driver, ensuring an exceptional customer experience paired with top-tier product quality. The Industrial Design Team crafts intelligent and stylish solutions to shape the future of mobility, prioritizing rider needs and safety. Involved in every stage of the engineering and product development process, the team works to optimize Waymo’s technology while enhancing the rider experience. This unique blend of creativity and innovation offers team members the chance to lead in a newly emerging industry.This position follows a hybrid work schedule and reports to the Head of Industrial Design.

Waymo, a pioneer in autonomous driving technology, aims to be the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, our focus is on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips enabled by more than 100 million miles of autonomous driving on public roads and tens of billions in simulation across 15+ states, we are setting the standard for safety and innovation.Your Role:Partner with engineering teams to embed security considerations throughout the design, development, and testing phases.Create security tools that empower both security and engineering teams.Conduct thorough technical security assessments, code audits, and design reviews.Provide technical solutions to address security vulnerabilities.Research and identify emerging attack vectors targeting Waymo's offerings.Establish Threat Models based on industry best practices.Develop security requirements for Waymo's engineering and supplier partners.

Waymo is at the forefront of autonomous driving technology, driven by the mission to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we strive to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and a track record of over 100 million miles driven autonomously on public roads, backed by tens of billions of miles in simulation across more than 15 U.S. states, we are committed to safety and innovation.Our Systems Engineering team is integral to merging software and hardware systems in innovative ways. We set rigorous performance standards to ensure the seamless operation of our vehicles and the safety of our passengers, crafting and executing tests to validate these standards. We are seeking passionate individuals who excel in collaboration and are dedicated to achieving results.This position follows a hybrid work model and reports to a Staff Systems Engineer.

Waymo is an innovative leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has made significant strides in developing the Waymo Driver—The World’s Most Experienced Driver™—aiming to enhance mobility access while preventing countless traffic-related fatalities. With over ten million rider-only trips and extensive autonomous driving experience across more than 100 million miles on public roads, Waymo continues to redefine transportation solutions in over 15 U.S. states.The Machine Learning Operations (ML Ops) team, a vital part of the Waymo ML Platform, is responsible for creating tools and infrastructure that facilitate the ML flywheel at Waymo. This team focuses on developing automation and orchestration solutions that streamline complex ML workflows and collaborates closely with the modeling team to enhance developer efficiency.We are seeking a skilled software engineer to join our team, responsible for building and maintaining critical data and ML pipelines that drive ML development at Waymo.In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have committed ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access while significantly reducing traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service and is versatile enough to be implemented across various vehicle platforms and applications. With over ten million rider-only trips completed and the experience of driving over 100 million miles on public roads, our technology stands out as a leader in the industry.Your Role:Build and sustain a robust data processing platform utilized by both onboard and offboard teams for extracting insights from vast amounts of driving logs and simulation data.Design and implement a low-latency streaming data processing system to facilitate real-time discovery of essential driving events.Enhance the reliability, scalability, and efficiency of our signal generation infrastructure by establishing service level objectives (SLOs) and minimizing operational overhead for large-scale data processing tasks.Foster collaboration with cross-functional teams in Perception, Planning, and Data Science to transition legacy systems to modern frameworks and support emerging analytical needs.