Waymo Operations System Manager

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 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 has committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. With the Waymo Driver powering our fully autonomous ride-hail service, we have achieved over ten million rider-only trips, backed by more than 100 million miles driven autonomously on public roads and tens of billions of miles simulated across 15+ U.S. states.The Waymo Mapping Team is on a mission to create a high-resolution map of the world to ensure safe autonomous driving. Our innovative approach combines automated and manual mapping techniques, alongside building the necessary infrastructure to store, process, and disseminate mapping data. Collaboration is key as our team partners with various Waymo divisions that depend on map data.In this role, you will:Lead a dynamic team focused on Field Response infrastructure, driving the next phase of Waymo’s rapid expansion.Own the strategy and roadmap for Mapping change detection, a pivotal element in scaling our mapping capabilities.Recruit and mentor a team of engineers to tackle complex business challenges and technical obstacles.Design and implement mission-critical systems that enable low-latency responses from Waymo’s fleet signals.Build resilient backend infrastructure and data processing systems that can scale with Waymo’s growth.You have:A seasoned managerial background, enthusiastic about leading teams while maintaining technical expertise.Proven experience as a backend engineer, with a history of building server-side infrastructure and effective data processing systems.Strong programming skills, with C++ being highly preferred.Over 7 years of total professional experience, including at least 2 years in a managerial role.A robust sense of ownership and the ability to navigate uncertainty effectively.A successful track record of guiding teams through complex technical challenges.It’s a bonus if you possess:Experience in Mapping and Localization.Background in the Autonomous Vehicle industry.Experience in hiring and developing a new team.#Li-Hybrid

Waymo is at the forefront of autonomous driving technology with a vision to become the world's most reliable driver. Originally launched as the Google Self-Driving Car Project in 2009, Waymo is dedicated to enhancing mobility access while significantly reducing traffic-related fatalities. The Waymo Driver—The World's Most Experienced Driver™—powers our fully autonomous ride-hailing service and has been successfully deployed across multiple vehicle platforms. With over ten million rider-only trips and an impressive record of over 100 million miles driven autonomously on public roads, Waymo's capabilities continue to expand across 15+ U.S. states.As a Technical Lead Manager within our Planner team, you will maintain and enhance a high-impact system that is vital to Waymo's autonomous driving technology. Collaborating with diverse teams, you will develop innovative solutions that address both common driving scenarios and rare, complex situations.

As a Senior Program Manager for Mapping Operations at Waymo, you will lead cross-functional teams to drive the development and execution of mapping strategies and initiatives. Your expertise will be critical in ensuring the precision and efficiency of our autonomous vehicle mapping system. This role offers the opportunity to work with cutting-edge technology in a fast-paced environment.

Waymo is a pioneering autonomous driving technology company dedicated 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 and significantly reduce traffic-related fatalities. The Waymo Driver supports our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving over 100 million miles on public roads and countless simulations, Waymo is at the forefront of the transportation revolution.Our Software Engineering team is the brain behind Waymo's fully autonomous driving technology. Our innovative software empowers the Waymo Driver to interpret its surroundings, make informed decisions, and ensure safe travel for passengers. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, all while collaborating closely with hardware and systems engineers. If you are a passionate software engineer or researcher interested in Level 4 autonomous driving, we encourage you to connect with us.In this hybrid position, you will report directly to a Technical Lead Manager, Senior Staff Engineer.

Join Waymo as a Technical Lead Manager for our Release Health team. In this pivotal role, you will oversee the technical direction and development of our vehicle release processes. You will lead a talented team, ensuring the highest standards of quality and efficiency in our software releases, ultimately contributing to the safety and reliability of our autonomous vehicles.

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 has been committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and ultimately save lives lost to traffic incidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated and more than 100 million miles driven autonomously on public roads, along with extensive simulation across over 15 U.S. states, we are redefining transportation.The Software Engineering team is the brain behind Waymo’s autonomous driving capability. Our systems empower the Waymo Driver to accurately perceive its surroundings, make informed decisions, and safely transport individuals to their destinations. We tackle complex technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a software engineer or researcher with a passion for Level 4 autonomous driving, we want to connect with you.The Sensor Foundations Team is essential in providing clean, optimized sensor data through robust APIs to our Perception models. We aim to abstract hardware differences and deliver low-level Perception signals using advanced algorithms or machine learning approaches. Team projects require a versatile skill set, including robotics, system integration, code optimization, and machine learning expertise.Within the Optimization sub-team, we leverage our knowledge of CPUs, GPUs, and sophisticated algorithms to rapidly process Waymo’s sensor data, feeding it into Perception ML models. Our focus on low-level compute hardware understanding allows us to apply this knowledge throughout the entire technology stack. We are seeking a Tech-Lead Manager with expertise in CPU, GPU, or system-level optimization to guide our small team of Software Engineers. Depending on your experience, you may also oversee system-level optimization and manage our compute resources.This position follows a hybrid work model and reports directly to the Technical Lead Manager of the Sensor Foundations team.

Waymo is seeking a Staff Technical Lead Manager to join the Behaviors team, based in either Mountain View or San Francisco, CA. This team is dedicated to advancing autonomous driving by improving the algorithms that shape vehicle behavior on the road. Role overview This position centers on leading efforts to enhance how autonomous vehicles make real-time decisions. The work directly impacts the safety and efficiency of Waymo's self-driving technology. What you will do Lead projects that shape the decision-making processes of autonomous vehicles Collaborate with engineers and researchers to develop and optimize algorithms focused on safety and operational efficiency Provide technical guidance and mentor team members to support their growth Locations Mountain View, CA, USA San Francisco, CA, USA

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver in the world. Initiated as the Google Self-Driving Car Project in 2009, Waymo has relentlessly focused on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and save countless lives currently lost in traffic accidents. The Waymo Driver is the driving force behind our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and product applications. With over ten million rider-only trips completed, our technology has driven more than 100 million miles on public roads and achieved tens of billions of miles in simulation across over 15 U.S. states.The Simulator Team at Waymo crafts cutting-edge simulations of realistic environments for testing and training the Waymo Driver. You will be part of a diverse and collaborative group of machine learning (ML) engineers, software developers, and data scientists. Together, we develop industry-leading simulation solutions utilizing advanced ML algorithms to measure and enhance the Waymo Driver's performance. Our work involves joint modeling of the real world, incorporating realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, weather conditions, and a comprehensive sensor suite including cameras, LiDAR, and radars.To boost the fidelity, scalability, and controllability of our simulations, we leverage the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on extensive datasets, alongside traditional rendering techniques.In this dynamic hybrid role, you will report to a Senior Staff Engineering Manager.Your Responsibilities:Innovate and Develop: Collaborate with our elite research engineering team to spearhead innovation in ultra-realistic sensor data and perception simulation for autonomous vehicles. You will implement the latest simulation technologies using 3D Gaussian Splatting, foundational models for sensor data, and traditional 3D graphics.Lead and Scale: Oversee the deployment and scaling of sensor simulation to tackle some of Waymo's most challenging problems. You will engage in a highly cross-functional environment, working alongside research, systems engineering, and other teams to expedite company objectives.Transfer Research to Production: Collaborate closely with Waymo's foundational AI research team to translate cutting-edge research into scalable, production-ready solutions.

Waymo, a leader in autonomous driving technology, is on a mission to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and ultimately save lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and product applications, having successfully completed over ten million rider-only trips while autonomously navigating over 100 million miles on public roads and simulating tens of billions of miles across more than 15 U.S. states.Our Hardware Engineering team comprises a vibrant mix of electrical, mechanical, reliability, software, and vehicle engineers. We are responsible for designing, building, and refining the products that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into vehicle platforms. We are looking for innovative and talented individuals to join us on this exciting journey.The Embedded Simulation team is critical to Waymo’s rapid scaling of the Waymo Driver across new vehicle and hardware platforms, as well as accelerating the development of our embedded and reliability software systems. We create tailored test environments for embedded and hardware applications and incorporate our technology into comprehensive system behavioral simulations.In this role, you will report to the Senior Director of R&D Software Engineering.

Waymo, a leader in autonomous driving technology, is dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. With over ten million rider-only trips and the ability to autonomously navigate more than 100 million miles on public roads, Waymo is transforming transportation across 15+ U.S. states.The Waymo Mapping team aims to create a high-resolution map of the world to facilitate safe autonomous driving. We employ both automated and manual mapping techniques and develop the necessary infrastructure to store, process, and distribute our maps. Our team collaborates with several other departments within Waymo that utilize map data.In this role, you will:Design, train, and deploy machine learning models that automate the creation of Waymo's HD maps, allowing for scalability in the Waymo Driver.Utilize and advance cutting-edge ML techniques, including Vision-Language Models (VLMs) and Generative AI, to innovate in mapping automation.Manage the entire model development lifecycle, from data mining and processing to model training, evaluation, validation, and production.Work closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to implement pioneering research into scalable, reliable, production-ready solutions.

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, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. With over ten million rider-only trips completed, the Waymo Driver has autonomously navigated more than 100 million miles on public roads and simulated tens of billions of miles across 15+ U.S. states.The Waymo Safety team is committed to advocating for and continuously advancing the safety of our fully autonomous driving technology. Our specialists set safety objectives and strategies, performing safety engineering analyses to ensure safety considerations are integral throughout vehicle design and development. This team also formulates and endorses safety policies for autonomous vehicles in collaboration with regulatory bodies, lawmakers, law enforcement, and both public and non-profit organizations. Furthermore, our Safety Team provides guidance on adhering to relevant environmental, health, and safety regulations.In this hybrid role, you will report to our Head of Safety Management and Best Practices.Your Responsibilities Include:SMS Policy Maintenance: Assist the SMS Lead in the creation, periodic review, revision, and implementation support of enterprise-level safety policies and governance documentation.Culture Management & Promotion: Design and implement closed-loop processes to maintain and promote a positive safety culture, along with internal initiatives such as Safety Month, newsletters, and town halls to elevate safety awareness.Governance Support: Aid in managing safety committees and working groups, ensuring alignment between policy goals and effective departmental execution.Stakeholder Engagement: Serve as the main point of contact for internal teams to interpret safety policies and gather feedback to enhance the SMS and the 'lived' safety culture.Goals & Metrics: Develop and monitor SMS-related goals and Safety Performance Indicators (SPIs) that align with the broader SMS objectives.

Waymo is at the forefront of autonomous driving technology, committed 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™. Our mission is 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 use cases. With over ten million rider-only trips facilitated, our technology has driven over 100 million miles on public roads and tens of billions in simulated environments across more than 15 U.S. states.The Perception team is responsible for designing systems that learn spatial-temporal representations and their semantic meanings within the self-driving car's environment. We collaborate with downstream teams for optimization and integration into the Waymo Driver. Our research addresses real-world challenges while working alongside Alphabet's research teams. By utilizing millions of miles of driving data from diverse sensors, engineers are empowered to (1) create efficient learning methods from large-scale real-world data, (2) develop scalable models and training processes, (3) analyze real-world behaviors to manage the complexities of real-world interactions, and (4) optimize models for both our onboard and offboard hardware.In this hybrid role, you will report directly to a Senior Staff Technical Lead Manager.

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 mission is to enhance mobility access and save lives through innovative solutions. The Waymo Driver—The World’s Most Experienced Driver™—powers our fully autonomous ride-hail service and adapts to various vehicle platforms and use cases. With over ten million rider-only trips and 100 million miles driven autonomously on public roads, we are transforming the future of transportation.We are on the lookout for a seasoned Technical Lead Manager (TLM) to spearhead our Vehicle Understanding team. In this pivotal role, you will oversee production modules related to Vehicle Understanding for the Waymo Driver, focusing on vehicle classification, states, and intents. This position is crucial for Waymo's expansion both domestically and internationally, allowing you to make a significant impact and drive innovative changes that enhance the generalizability of the Waymo Driver.In this hybrid position, you will report directly to our Senior Staff TLM of Semantics Understanding.

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives currently lost to traffic accidents. The Waymo Driver not only fuels our fully autonomous ride-hail service but can also be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, alongside extensive simulation experience across 15+ U.S. states, our impact is profound.The Planner Reasoning Team plays a crucial role in shaping the Waymo Driver’s behavior and extends its influence throughout the organization. As a Staff Technical Lead, you will be instrumental in scaling the performance of the Waymo Driver and enhancing our renowned safety standards as we expand our services to additional cities.

Waymo is at the forefront of autonomous driving technology, aiming to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver is the backbone of our fully autonomous ride-hailing service, having successfully completed over ten million rider-only trips, powered by more than 100 million miles of autonomous driving on public roads and extensive simulation across 15+ U.S. states.The Waymo Mapping team is committed to creating a comprehensive high-resolution map of the world to ensure safe autonomous driving. We utilize a combination of automated and manual mapping techniques to build the infrastructure necessary for storing, processing, and distributing this vital map data. Our team partners with various other Waymo teams that rely on this map data.

Waymo, a pioneer in autonomous driving technology, is 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™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service, while also being adaptable to various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, alongside tens of billions of miles simulated across 15+ U.S. states, our mission is clear.As a Senior Technical Program Manager, you will play a vital role in executing Waymo’s roadmap through strategic cross-functional planning and effective risk management. In an environment characterized by complex technical and operational challenges, you will foster meaningful discussions and drive outcomes. Collaborating closely with every department at Waymo, you will structure, lead, and propel initiatives toward the real-world deployment of the Waymo Driver across various platforms and regions.This position follows a hybrid work model, and you will report to the Manager of Technical Program Management.

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!

Join Waymo as a Software Technical Lead Manager specializing in Test Automation Infrastructure. In this pivotal role, you will spearhead the development and optimization of cutting-edge test automation frameworks, ensuring our software systems are reliable, efficient, and scalable. Collaborate with cross-functional teams to design innovative testing solutions that enhance product quality and accelerate deployment cycles.Your leadership will guide a team of talented engineers, fostering a culture of excellence and continuous improvement. You will be instrumental in defining best practices and driving the technical vision of our automation infrastructure.