Senior Systems Test Engineer at Waymo | Mountain View, California

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…

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.

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.

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.

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.

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 at the forefront of autonomous driving technology, dedicated to becoming the most reliable driver in the world. 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™—aimed at enhancing mobility access and saving thousands of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and use cases. With over ten million rider-only trips delivered, our technology has demonstrated its capabilities through over 100 million miles driven autonomously on public roads and tens of billions of miles simulated across more than 15 U.S. states.Our Systems Engineering team plays a pivotal role in integrating software and hardware systems in innovative ways. We establish high-performance standards that guarantee the smooth operation of our vehicles and the safety of our passengers, followed by designing and executing tests to validate these performance metrics. We are on the lookout for passionate individuals who thrive in teamwork and are committed to achieving results.This position follows a hybrid work model and reports directly to the Manager of Systems Engineering, Driving Behaviors.

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, 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 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 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 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 tirelessly worked to develop the Waymo Driver—The World’s Most Experienced Driver™—with a goal to enhance mobility access while preventing countless traffic-related fatalities. The Waymo Driver facilitates our fully autonomous ride-hail service and can be adapted for various vehicle platforms and applications. With over ten million rider-only trips accomplished, our technology has autonomously navigated more than 100 million miles on public roads and an impressive amount in simulation across 15+ U.S. states.Our Systems Engineering team is dedicated to innovatively integrating software and hardware systems. We establish rigorous performance standards that guarantee the seamless operation of our vehicles and ensure passenger safety. We are seeking passionate individuals who thrive in a collaborative environment and are committed to delivering impactful results.This role follows a hybrid work schedule and reports to a Systems Engineer Lead.

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 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.

Join Waymo, a pioneer in autonomous vehicle technology, as a Systems Test Engineer specializing in Commercialization Test Automation. In this role, you will be at the forefront of testing and enhancing our advanced systems, ensuring they meet high standards of performance and reliability.Your contributions will directly impact the future of transportation by supporting the development of self-driving technology. Collaborate with cross-functional teams to design, execute, and automate test cases, identifying any potential issues and implementing solutions.

Join Waymo, a leader in self-driving technology, as a Systems Test Engineer focused on sensing. In this pivotal role, you will engage in the testing and validation of advanced sensing systems that are critical to the safety and efficiency of autonomous vehicles. Your expertise will help shape the future of transportation and contribute to bringing self-driving technology to the public.You will collaborate with a multidisciplinary team, working closely with software engineers, hardware engineers, and product managers to ensure the highest quality standards in our sensing systems. Your responsibilities will include developing test plans, executing test cases, and analyzing results to ensure our technology meets stringent performance criteria.

Join Waymo as a Systems Test Engineer focusing on Pipeline and Test Health. In this role, you will be responsible for ensuring the integrity and reliability of our testing processes and systems.Your expertise will help us maintain the highest standards in our engineering practices, contributing to the development of self-driving technology. This position offers the opportunity to work in a dynamic and innovative environment.

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, 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 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 developing the Waymo Driver—The World's Most Experienced Driver™—with the goal of enhancing mobility access and reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. To date, our technology has facilitated over ten million rider-only trips, backed by extensive experience that includes more than 100 million miles driven autonomously on public roads and tens of billions of miles simulated across over 15 U.S. states.Our Systems Engineering team collaborates to integrate software and hardware systems in innovative ways. We set and uphold high-performance standards that ensure our vehicles operate seamlessly and prioritize passenger safety, while also designing and executing tests that validate those standards. We seek passionate and talented individuals who thrive in a team-oriented environment and are committed to achieving results.This position operates on a hybrid work schedule and reports directly to the Vice President of Systems Engineering.