Systems Engineer, Perception at Waymo | Mountain View, CA

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 while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. To date, the Waymo Driver has successfully completed over ten million rides, driven more than 100 million miles autonomously on public roads, and conducted tens of billions of miles in simulation across more than 15 U.S. states.As part of our mission, Waymo's Data Science team plays a crucial role in ensuring the safety and reliability of our autonomous driving technologies. By utilizing data analysis and statistical methods, we evaluate and enhance the Waymo Driver, concentrating on critical aspects such as reliability, driving quality, and safety. As a Business Intelligence Analyst, you will contribute to the development of a robust data infrastructure that supports key reporting and analytics for our Data Science team.

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.

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, a leading autonomous driving technology company, is dedicated to becoming the world's most trusted driver. Established in 2009 as the Google Self-Driving Car Project, Waymo has been at the forefront of developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access and save lives currently lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With over ten million rides provided and extensive experience driving more than 100 million miles on public roads, and tens of billions in simulation across over 15 U.S. states, we are committed to transforming transportation.At Waymo, we generate an extraordinary scale and complexity of data from billions of miles driven in simulations and millions on public roads. Central to our mission is the deep understanding of this data.Our world-class data analysis infrastructure is the cornerstone of our success. It is crucial for:Validating the safety and performance of the Waymo Driver.Accelerating research and development cycles across engineering, including Simulation, Onboard, and Machine Learning.Facilitating data-driven decision-making for our commercial operations and product strategies.Standardizing our progress measurement and performance comparisons across different contexts.Insights derived from our data platforms influence every aspect of our technology and business. We are in search of an extraordinary technical leader to drive the vision and architecture of these essential systems.

Waymo is a pioneering 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 consistently aimed to enhance mobility access while significantly reducing traffic-related fatalities. Our innovative Waymo Driver is not only the backbone of our fully autonomous ride-hailing service but is also adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience driving more than 100 million miles on public roads and tens of billions of miles in simulation across 15+ U.S. states, we prioritize safety and efficiency in every endeavor.The Product Data Science team at Waymo collaborates with Engineering, Product, and Operations to make data-driven decisions that propel our mission forward. Our projects span quality assurance, operational efficiency, market analysis, and rider satisfaction metrics, ensuring that we scale the Waymo Driver safely and effectively. We thrive on curiosity, adaptability, and an open-minded approach to evolving data landscapes.This position offers a hybrid work schedule and reports directly to the Director of Product Data Science. Your Responsibilities:Lead, mentor, and support a team of Business Intelligence Analysts, ensuring successful and timely project deliveries through resource coordination and hands-on leadership.Oversee the development and upkeep of data pipelines, dashboard design, and critical data analyses for high-priority projects, maintaining a high technical standard.Serve as the go-to subject matter expert, playing a key role in enhancing our business intelligence infrastructure and influencing best practices across the organization.Build a broad network within the company to uncover new opportunities and aid in project prioritization, ensuring optimal resource deployment.Develop project roadmaps, set long-term goals, and exemplify the Waymo Way behaviors, particularly when tackling technical and organizational challenges.

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.

Join Waymo as a Senior Staff Software Engineer specializing in TLM (Traffic Light Management). In this crucial role, you will lead the design and development of innovative software solutions that enhance our autonomous vehicle systems. Your expertise will contribute significantly to improving traffic management systems and ensuring seamless operations for our fleet.

Join Our Mission:At Drivemode, we are committed to transforming the driving experience through innovative technology. Our vision is to create vehicles that are significantly smarter, safer, and more connected. Since becoming Honda's first startup acquisition in 2019, we have expanded our mission to pioneer the future of electric vehicles (BEV) for millions globally. Why Choose Drivemode:Embrace the dynamic startup culture at Drivemode, where impactful work meets competitive compensation and exceptional benefits. By joining our team, you will be part of a critical mission that reshapes how individuals interact with vehicles while addressing pressing business and environmental challenges. This is a unique opportunity to lead innovation and contribute to Honda's success in the electric vehicle sector. About the Role:We are in search of a passionate and experienced Senior Data Analyst to join our expanding team at Drivemode, a Honda subsidiary. In this vital position, you will analyze extensive datasets to extract meaningful insights, driving product decisions, enhancing operational efficiency, and improving user experiences across our mobile applications and in-car infotainment systems. You will work closely with product managers, engineers, designers, and other stakeholders to convert complex business challenges into actionable, data-informed solutions, positioning Honda at the forefront of electric and software-defined vehicle innovation.

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 mission is to enhance mobility access while preventing traffic-related fatalities. The Waymo Driver, recognized as The World’s Most Experienced Driver™, has successfully completed over ten million rider-only trips and navigated more than 100 million miles autonomously on public roads across over 15 U.S. states.As a Senior Security Engineer, you will play a pivotal role in fortifying Waymo's cybersecurity framework for our cutting-edge products and services. You will analyze system components, devise comprehensive cybersecurity strategies, and conduct Threat Analysis and Risk Assessments (TARA) in line with ISO/SAE 21434 standards. Your responsibilities will include defining and managing security requirements, determining risk treatment options, and collaborating with engineering and safety teams throughout the product lifecycle to identify and mitigate security and safety risks. Additionally, you will ensure ongoing compliance with relevant standards across various projects.

Join Waymo as a Senior Systems Test Engineer, where you will play a crucial role in ensuring the quality and reliability of our cutting-edge autonomous vehicle technology. You will collaborate with cross-functional teams to develop and execute test strategies that enhance our systems' performance and safety. Your expertise will contribute to the evolution of self-driving technology, making transportation safer and more efficient.

Waymo is at the forefront of autonomous driving technology, aiming to become the most trusted driver worldwide. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—dubbed The World’s Most Experienced Driver™—to enhance mobility access and prevent the tragic loss of lives due to traffic accidents. The Waymo Driver operates our fully autonomous ride-hailing service and its capabilities extend across various vehicle platforms and use cases. With an impressive record of over ten million rider-only trips, our autonomous systems have driven more than 100 million miles on public roads and tens of billions of miles in simulation across 15+ U.S. states.The Core Platform team plays a pivotal role in managing software and infrastructure for several components of Waymo's self-driving system. Our responsibilities span from low-level system software to high-bandwidth data logging, inter-process communication (IPC), performance analysis, full-system debugging, system telemetry, and ensuring system reliability. Collaboration with Hardware, Compute, Sensor, Perception, Behavior, and Machine Learning teams is essential as we innovate the most efficient and low-latency self-driving solutions in the industry.

Who We AreAurora's mission is to safely and rapidly deliver the benefits of self-driving technology to everyone.The Aurora Driver is set to revolutionize mobility and logistics, creating a safer, more efficient, and more accessible future for all.At Aurora, you will engage with complex challenges alongside a team of passionate and skilled individuals, enhancing your expertise while expanding your knowledge base. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.Aurora seeks talented professionals from diverse backgrounds who are eager to contribute to a transportation ecosystem that enhances safety on our roads, ensures critical goods reach their destinations, and makes mobility more efficient and accessible.We are in search of a Senior Business Analyst to join our Mapping Operations team. In this role, you will collaborate closely with Program Management, Operations, and Engineering teams to facilitate data-driven decision-making across various workflows and systems.The ideal candidate will possess a blend of strong analytical and technical skills, along with the ability to convert complex data into actionable insights. You will be responsible for identifying trends, measuring operational and system performance, and offering recommendations aimed at improving efficiency, quality, and scalability.Key Responsibilities:Examine large datasets to pinpoint trends, performance gaps, and areas for improvement.Craft dashboards and reporting frameworks that provide transparency into operational health and system performance.Translate analytical findings into actionable recommendations for leadership and domain owners.Collaborate with domain owners to assess the effects of process and system changes via data analysis and experimentation.Identify root causes of operational inefficiencies and propose data-driven 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, 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.

At GFiber, we are passionate about providing exceptional internet services that foster innovation, empower communities, and simplify everyday life. As we continue to expand, we are on the lookout for individuals eager to make a meaningful impact in the tech landscape. Our team is dedicated to creating an inclusive environment where you can cultivate your career and discover your purpose.As a proud member of Alphabet, GFiber is committed to delivering Google Fiber and Google Fiber Webpass services to homes and businesses throughout the United States. We are rapidly growing our teams as we connect more cities and individuals to high-quality internet solutions.The application period will remain open until at least April 17, 2026. This listing may remain active based on business needs, possibly extending beyond this date.Please note that this position is not eligible for immigration sponsorship. Role OverviewAs a Business Analyst at GFiber, you will play a pivotal role in documenting and defining use cases while collaborating closely with various business teams. Your projects will involve software developed by our systems and tools teams and overseeing the development of home routers for GFiber customers. Our systems utilize cloud-based deployment environments, comprising a diverse suite of applications (iOS and Android), a customer web portal, back-end systems built on Salesforce, Fiber Management systems, customer agent and ticketing tools, OSS, ERP, and billing systems. This comprehensive range of systems and tools offers significant opportunities for professional growth in a dynamic environment. You will focus on managing the systems currently deployed based on the OSS and Cloud platforms.Key Responsibilities:Collaborate with business teams to articulate user stories capturing business requirements.Partner with design teams to validate use cases and facilitate technical implementations.Engage with stakeholders to prioritize requirements effectively.Present features and use cases to business stakeholders.Obtain formal approval from business stakeholders to finalize features and use cases.Take ownership of the feature journey from inception to approval.

About UsAt Aurora Innovation, our mission is to revolutionize transportation by delivering the advantages of self-driving technology in a safe, swift, and widespread manner.Explore the Aurora Driver as we embark on a transformative journey in mobility and logistics, ensuring a safer, more efficient, and accessible future for everyone. Joining Aurora means collaborating with a team of passionate and intelligent individuals to tackle complex challenges, enhancing your expertise and knowledge in the process. For the latest updates, visit aurora.tech or follow us on LinkedIn. We are in search of a dynamic Safety Data Analyst to become a key member of our Data Solutions team. This world-class group is dedicated to generating insights and intelligence that will enhance the Aurora Driver and expedite the safe commercialization of Autonomous Vehicle technology. As part of this role, you will automate the monitoring and analysis of safety performance, leveraging extensive data from both internal and external sources to help Aurora meet its safety and commercialization objectives.

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, 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, 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.