Waymo LLCMountain View, CA, USA; San Francisco, CA, USA
On-site Full-time
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Experience Level
Mid to Senior
Qualifications
The ideal candidate will possess: A strong background in machine learning, particularly in compliance and reasoning applications. Proficiency in programming languages such as Python, C++, or Java. Experience with data analysis and model training techniques. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
About the job
Waymo is hiring a Staff Machine Learning Engineer to focus on Vehicle Compliance Reasoning. This role is based in Mountain View, CA or San Francisco, CA.
Role overview
This position centers on advancing how autonomous vehicles interpret and meet regulatory and operational standards. The work involves both technical leadership and direct development to enhance the reasoning capabilities of Waymo’s self-driving systems.
What you will do
Use machine learning techniques to help autonomous vehicles better understand and follow regulations and operational guidelines.
Partner with other engineers to design and build solutions for complex, real-world driving scenarios.
Support the safety and reliability of Waymo’s autonomous driving technology through both leadership and hands-on work.
Team environment
Join a group of engineers committed to improving the performance and compliance of autonomous vehicles across a range of environments.
About Waymo LLC
Waymo LLC is a leader in the autonomous vehicle space, pioneering innovative technologies that aim to improve transportation safety and efficiency. Our mission is to make it safe and easy for people and things to get where they’re going. Join us in shaping the future of mobility.
Join Our Team as an Autonomous Vehicle Test Operator!At Terry Soot Management Group (TSMG), a pioneer in field data collection since 2017, we are at the forefront of automation where it has yet to be realized. Our mission is to gather invaluable data that empowers organizations to make informed decisions, even in the most challenging environments. We pride ourselves on our dedicated field data collection teams operating across Europe and North America, ready to tackle new challenges and opportunities.Position Summary:The Autonomous Vehicle Test Operator plays a crucial role in the evaluation and operation of self-driving vehicles in autonomous mode. This position involves collecting pertinent data, providing insightful feedback, and facilitating ride hail services for the public, ensuring a smooth and safe user experience.
Join Our Dynamic Team!Terry Soot Management Group (TSMG), established in 2017, is a pioneering field data collection company based in Europe, now thriving in North America.We specialize in gathering crucial data in environments where automation falls short. Our dedicated teams meticulously collect data by counting features, capturing photographs, recording videos, and scanning areas to facilitate informed decision-making. We are constantly embracing new challenges across both Europe and North America.Position Summary:The Autonomous Vehicle Operator will take the helm of a self-driving vehicle, overseeing its operation in autonomous mode. This role involves collecting critical data, providing insightful feedback, and delivering ride-hail services to the public.
Role Overview:As an Autonomous Vehicle Operations Supervisor at TSMG, you will take the lead in overseeing daily operations, ensuring seamless communication between our esteemed clients' program managers and our dedicated team of vehicle specialists and operators. Your primary responsibility will be to manage a team of operators, guaranteeing the efficient execution of missions as requested by our clients.Qualifications:We are looking for candidates with strong leadership skills, a passion for technology, and experience in operational management within the automotive or tech sectors. Ideal candidates will possess excellent communication skills and a keen ability to solve problems in a fast-paced environment.
Position: Autonomous Vehicle Operator (Temporary, Full-Time) Location: On-site in South San Francisco, CA 94080 or Santa Clara, CA 95054. Initial training takes place in Santa Clara. Duration: 12 months. Comprehensive benefits are included. Role overview Autonomous Vehicle Operators help drive Nuro’s mission by operating test vehicles equipped with proprietary self-driving technology. This position requires a strong commitment to safety, professionalism, and careful attention to detail. Operators support the development of autonomous systems and must reach training milestones both in and out of the vehicle. What you will do Drive autonomous test vehicles in both manual and autonomous modes for up to 8 hours a day, following safety and operational protocols in a variety of traffic conditions. Use Nuro’s proprietary software to collect data in real-world scenarios and share detailed feedback with engineering teams. Troubleshoot operational issues as they occur, collaborating with the Mission Operations (dispatch) team to resolve problems and achieve mileage targets. Perform routine vehicle checks before and after each mission. Handle basic vehicle upkeep, including washing and inflating tires. Occasionally interact with members of the public to share information about autonomous vehicle technology. Represent Nuro by conducting safe, professional ridealongs for senior leaders and stakeholders, answering questions and communicating clearly.
Role Overview:The Depot Supervisor will lead the operations and management of our depot focused on autonomous vehicles. This pivotal role involves ensuring safe and efficient deployment of AVs for testing, requiring a comprehensive understanding of AV technology along with exceptional organizational and leadership skills. You will coordinate and manage a diverse team of drivers and support staff to meet our service objectives.
Full-time|$118K/yr - $147K/yr|On-site|San Francisco, CA
Lyft is building new ways to connect and serve communities. The company values diversity, inclusion, and the growth of every team member. Role Overview As Business Development Manager for Autonomous Vehicles, work at the intersection of technology and transportation in San Francisco, CA. The shift to autonomous vehicles is a major focus for Lyft. This role shapes how Lyft partners with leading AV providers, from technology startups to OEMs and fleet operators. What You Will Do Develop and launch new partnerships with autonomous vehicle companies Build and manage a pipeline of business opportunities in the AV space Collaborate across teams to support AV partners throughout the value chain Help define Lyft’s strategy as a marketplace and operational partner for AV providers Work Environment Expect a collaborative setting where new ideas are encouraged. The pace is quick, and innovation drives decisions. This position has a direct impact on the future of Lyft’s AV partnerships.
Full-time|$169K/yr - $211.3K/yr|On-site|San Francisco, CA
Lyft is building partnerships to support the future of autonomous vehicles. The company aims to be the top marketplace and operational partner for leading AV providers, technology companies, OEMs, and fleet operators. This work sits at the center of Lyft’s growth strategy as autonomous vehicles become a larger part of mobility. Role overview The Senior Manager of Autonomous Vehicle Partnerships will lead efforts to develop and strengthen relationships with AV partners. This role shapes how Lyft collaborates with technology providers, manufacturers, and fleet operators, working to create commercial value for all parties. Success means creating partnerships that help both Lyft and its partners grow and succeed together. What you will do Build and manage strategic relationships with AV companies, OEMs, and fleet operators Represent Lyft as a key partner throughout the AV value chain Work across teams to support AV integration and operations on the Lyft platform Identify new partnership opportunities and negotiate agreements that benefit both Lyft and AV partners Foster collaboration and communication between internal teams and external partners Location This position is based in San Francisco, CA.
Join Lyft's cutting-edge team as a Senior Software Engineer focused on Autonomous Vehicle technology. You will play a pivotal role in developing software solutions that enhance the safety and efficiency of our autonomous fleet. Your work will directly impact the future of transportation, making it safer and more accessible for all.
Role overview Lyft seeks a Senior Product Manager to join its Autonomous Vehicles division in San Francisco. The position centers on moving AV technology forward and influencing the future of Lyft’s autonomous transportation products. What you will do Lead product development and set strategy for AV projects at Lyft. Collaborate with engineering, design, and operations teams to enhance safety, efficiency, and the overall user experience of autonomous vehicles. Apply data and insights to guide decisions and shape the AV product roadmap. Support Lyft’s goal of expanding transportation access through autonomous technology. Location This role is based in San Francisco, CA.
Full-time|On-site|Mountain View, CA, USA; San Francisco, CA, USA
Waymo is hiring a Staff Machine Learning Engineer to focus on Vehicle Compliance Reasoning. This role is based in Mountain View, CA or San Francisco, CA. Role overview This position centers on advancing how autonomous vehicles interpret and meet regulatory and operational standards. The work involves both technical leadership and direct development to enhance the reasoning capabilities of Waymo’s self-driving systems. What you will do Use machine learning techniques to help autonomous vehicles better understand and follow regulations and operational guidelines. Partner with other engineers to design and build solutions for complex, real-world driving scenarios. Support the safety and reliability of Waymo’s autonomous driving technology through both leadership and hands-on work. Team environment Join a group of engineers committed to improving the performance and compliance of autonomous vehicles across a range of environments.
Full-time|On-site|San Francisco, CA, USA; Mountain View, CA, USA Washington D.C., USA; New York City, NY, USA
Role Overview Waymo is looking for a Policy Operations Manager to guide operational strategies and ensure compliance across autonomous vehicle programs. This role is based in San Francisco, Mountain View, Washington D.C., or New York City. What You Will Do Lead a team responsible for developing and improving policies for autonomous vehicle operations. Work closely with cross-functional teams to align operational practices with company goals and regulatory requirements. Monitor and analyze regulatory changes that affect autonomous driving technologies. Implement operational policies that support both innovation and legal compliance. About the Team The policy operations group at Waymo focuses on building and refining the frameworks that keep autonomous vehicle programs safe, legal, and effective. Collaboration and adaptability are central to the team’s approach.
AeroVect is seeking a skilled Vehicle Integration Engineer with expertise in mechatronics and robotics to oversee the mechanical and electrical dimensions of our innovative autonomous vehicle demonstrator platform. In this pivotal role, you'll be responsible for developing vehicle sensing and actuation hardware in a dynamic startup environment.We are looking for a proactive individual who embraces challenges and is prepared to manage all stages of the development lifecycle, from desktop engineering design and simulation to hands-on automotive integration and root-cause analysis. You will play a crucial role in ensuring the safety-critical design, implementation, and reliability of our ground vehicle hardware, aimed at automating cargo and baggage movement in some of the busiest airports globally.This position offers a unique opportunity for a technically adept engineer to contribute to a cutting-edge product that merges autonomous vehicle technology with a SaaS business model. You will collaborate closely with our co-founders.
Full-time|$196K/yr - $242K/yr|Hybrid|Mountain View, CA, USA; San Francisco, CA, USA
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, we have developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. Our technology has successfully completed over ten million rider-only trips, thanks to our extensive experience of autonomously navigating more than 100 million miles on public roads and executing tens of billions of miles in simulation across 15+ U.S. states.The Hardware Engineering team at Waymo is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, construct, and refine the essential components that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into various vehicle platforms. We’re on the lookout for inquisitive and skilled individuals to help propel us forward.This position operates under a hybrid work schedule and reports to the Systems Engineering Manager.
Mapbox stands at the forefront of real-time location technology, empowering a new wave of location-centric businesses. Our platform is unparalleled, providing organizations with a comprehensive toolkit to enhance the navigation of individuals, packages, and vehicles across the globe. With over 4 million developers opting for Mapbox, our commitment to flexibility, security, and privacy compliance remains unmatched. Companies leverage our applications, data, SDKs, and APIs to craft tailored, immersive experiences that captivate their audiences.Candidates must reside in or near the San Francisco Bay Area and be open to occasional travel.This position is a 12-month contract with a possibility for extension.What We DoThe Driver Operations team is dedicated to executing weekly in-vehicle testing, supporting cross-departmental development and validation efforts. Each week, we formulate a prioritized test plan based on incoming requests, timelines, and business needs. Our execution is characterized by stringent coordination and real-time communication to ensure test objectives are achieved and actionable feedback is promptly delivered. We are continuously on the move, conducting test cycles, facilitating special R&D initiatives, and representing our team in high-visibility projects for both internal and external stakeholders.Our geographic reach is expanding through a blend of in-house testers and collaborations with professional service providers, currently covering the U.S., Germany, Japan, and the Philippines.What You'll DoTo excel in this role, a robust foundation in automotive test coordination is essential, along with the ability to troubleshoot both hardware and software systems, and a sound understanding of vehicle electronics, navigation, and mapping technologies. We are seeking an individual who is genuinely passionate about in-vehicle testing, thrives in real-world environments, and is eager to validate complex systems on the road. Comfort in hands-on work, whether driving or collaborating with drivers, is crucial, as is the ability to link field operations with internal teams to identify issues, ensure alignment, and promote continuous improvement. Experience in advanced development settings within OEMs is advantageous, as are keen observational skills and a commitment to quality delivery.Gather and synthesize testing requests from various teamsTransform requirements into dependable and detailed test casesEstablish and prioritize weekly test plans based on scope, urgency, and resources
Be Part of the Revolution in Autonomous TechnologyAt Bedrock Robotics, we're pioneering the transition of artificial intelligence from theoretical concepts to practical applications in the construction industry. Our innovative team consists of seasoned professionals who have played pivotal roles in companies like Waymo, Segment, and Uber Freight. We are currently deploying state-of-the-art autonomous systems on heavy construction machinery nationwide, streamlining billion-dollar infrastructure projects and enhancing workplace safety. With $350 million in funding, we are addressing the urgent demand for housing, data centers, and manufacturing facilities while tackling the labor shortages in construction.This is where cutting-edge algorithms intersect with hands-on construction. As a Field Test Specialist, you will work side by side with experienced construction professionals and exceptional engineers to tackle real-world challenges that can't be resolved through simulations alone. If you are eager to apply advanced technology to significant problems and collaborate with a talented team, we invite you to join us.
Full-time|On-site|Mountain View, CA, USA; San Francisco, CA, USA
Role Overview Waymo LLC seeks a skilled Construction Project Executive to guide the Operations team in Mountain View or San Francisco, CA. This leadership position manages several construction projects supporting autonomous vehicle technology, with a focus on timely delivery, budget adherence, and high-quality results. Key Responsibilities Oversee multiple construction projects from planning through completion Ensure projects meet timelines, budgets, and quality expectations Work closely with teams across functions to improve operational processes Support and advance strategic initiatives within the organization Location Mountain View, CA, USA San Francisco, CA, USA
Full-time|$170K/yr - $210K/yr|On-site|South San Francisco, California, USA
Software Engineer, Delivery Network Platform Join Zipline, where we are revolutionizing logistics with an autonomous delivery network. As part of the Delivery Network Platform team, you will develop the foundational systems that enable aircraft, sites, and infrastructure to operate seamlessly in live delivery scenarios. Your work will involve creating software solutions that provide operators with real-time insights and control, designing orchestration systems that manage fleet movements, and developing validation platforms to ensure the network's reliability as it scales. Your Responsibilities You will be responsible for software systems that are pivotal to fleet operations, including: Network Operating Center software for real-time visibility and interventions across aircraft, sites, missions, weather, and demand. Fleet orchestration systems for assignment, routing, scheduling, and rebalancing tasks. Maintenance and asset health systems linking issue detection to service readiness. Simulation and validation platforms to assess topology, load, and policy changes prior to production. Platform interfaces and configurable control planes that empower other teams to safely extend the network. Tackling Complex Challenges Unlike typical software roles focused on digital experiences, this position plays a critical role in managing a live autonomous logistics network. You'll address challenges such as: Maintaining an accurate real-time view of aircraft and essential site assets across the network. Ensuring the network remains operational amidst shifting demand, changing weather conditions, infrastructure issues, or capacity constraints. Creating user-friendly operator control interfaces that facilitate quick and accurate decision-making under pressure. Simulating potential future network behaviors to mitigate risks before they impact production. These systems directly affect operational performance. You will own significant components of the platform, make critical technical and product decisions, and have a substantial impact on the network's effectiveness. Team Dynamics Our team operates with a strong emphasis on ownership, trust, and high technical standards. Engineers are expected to identify significant problems, develop a clear vision for system functionality, and drive solutions from conception to production. Additionally, we encourage engineers to leverage AI tools to enhance exploration, implementation, and debugging processes while upholding strong engineering principles, judgment, and accountability.
Full-time|$170K/yr - $250K/yr|On-site|San Francisco, CA
DoorDash Labs is an innovative team at DoorDash, dedicated to developing autonomous delivery robots and cutting-edge autonomy solutions that power DoorDash's delivery platform, utilized by millions worldwide. If you are passionate about the intersection of robotics and service technology, we would love to connect with you!About the RoleWe are on the lookout for a highly skilled and hands-on Senior Electrical Engineer to spearhead the design and development of electrical systems for our four-wheeled autonomous delivery robot. This pivotal role involves delivering high-quality, production-ready hardware that encompasses high-speed digital design, PCB assembly, RF integration, harnessing, and board-level packaging.This position is highly technical, ideal for individuals who can navigate both system-level concepts and intricate circuit designs with ease.What You’ll DoDesign and innovate electrical systems for a complex mobile robotic platform, from initial concept to production.Lead high-speed digital design initiatives, including PCIe, MIPI, Ethernet, DDR, and multi-gigabit SERDES.Oversee PCBA development, including schematic capture, stack-up definition, layout guidance, impedance control, and design for manufacturability.Drive RF integration efforts including Wi-Fi, LTE/5G, GNSS, Bluetooth, RADAR, and LiDAR, focusing on antenna placement, layout constraints, and signal integrity.Develop and assess cable harness designs, connector selection, grounding strategies, and environmental robustness.Collaborate closely with mechanical engineers on board packaging, thermal management, vibration resistance, and environmental sealing.Define and implement power distribution architectures, battery interfaces, protection circuits, and system monitoring.Ensure adherence to EMI/EMC and regulatory standards (FCC/CE) including CISPR-25 and FCC Part 15 Class A.Support prototype builds and troubleshoot hardware/firmware interface issues, quickly identifying root causes and driving corrective actions.Establish design standards and conduct comprehensive design reviews within the electrical engineering team.Engage cross-functionally with firmware, robotics, systems, manufacturing, and reliability teams.
AeroVect is seeking a highly skilled Staff Engineer to elevate our autonomous driving systems within structured, low-speed environments. In this pivotal role, you will spearhead the growth and development of our core autonomy software team in a dynamic, early-stage startup environment. Your extensive experience in building production-grade systems will drive the AeroVect Driver to new heights, establishing industry-leading vehicle autonomy tailored for the airport operational design domain.Your responsibilities will encompass leading the design and implementation of vital enhancements across core modules such as planning, prediction, perception, localization, and controls. You will integrate both innovative techniques and reliable, off-the-shelf solutions to optimize all autonomous driving and towing functionalities, delivering exceptional value and efficiency to the modern supply chain.This role presents an exciting opportunity for a technically adept, hands-on leader to contribute to a groundbreaking enterprise product that merges autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. You will report directly to our co-founders.Key Responsibilities:Define, lead, and manage the development of an autonomous driving stack specifically designed for structured logistics environments. Anticipate spending 70% of your time on hands-on development while dedicating the remaining 30% to defining project requirements, managing schedules, overcoming challenges, mentoring the team towards ambitious goals, and building a team of elite engineers.Oversee a team of engineers responsible for the deployment of all components essential for dependable autonomous driving operations in the airside environment, including vehicle corridors and apron areas.Design, implement, test, and maintain all facets of ground vehicle autonomy, incorporating planning, prediction, perception, localization, controls, and infrastructure subsystems.Ensure all subsystems are qualified using objective metrics, with a strong focus on functional safety and adherence to systems engineering best practices.Collaborate with vehicle engineering teams to forge an integrated system, addressing sensor and computing selection and integration.Stay informed of the latest advancements in the field.
About Mach IndustriesEstablished in 2022, Mach Industries is a dynamic and innovative defense technology firm dedicated to pioneering next-generation autonomous defense platforms. Our mission centers on providing scalable, decentralized defense systems that bolster the strategic capabilities of the United States and its allies. With a passionate team of approximately 220 employees, we embody the agility and ambition of a startup.We aim to transform the future of warfare through exceptional manufacturing, rapid innovation, and a steadfast commitment to national security. Our focus is on addressing the challenges of modern warfare with advanced systems designed to deter kinetic conflict and enhance global safety.The RoleAs a Software Engineer, you will be instrumental in the creation of our autonomous defense systems. Your responsibilities will include designing, developing, and optimizing mission-critical applications with an emphasis on real-time performance, reliability, and security. This role requires technical expertise, flexibility, and a sense of ownership, as you will engage with the entire software stack to craft and launch high-performance systems within a fast-paced environment.Key ResponsibilitiesDevelop, test, and sustain software for autonomous defense platforms, guaranteeing exceptional performance, reliability, and security.Craft and implement efficient, thoroughly tested code in C++, Rust, Python, or C to power real-time systems.Design end-to-end software solutions, from low-level firmware to high-level mission software.Collaborate closely with embedded engineers, GNC specialists, and systems engineers to ensure seamless integration of hardware and software.Optimize software for real-time execution, ensuring low-latency operation on embedded platforms and edge computing systems.Adopt secure coding practices to fortify software against cyber threats and comply with defense cybersecurity standards.Utilize DevOps, CI/CD pipelines, and automated testing to enhance software development and deployment efficiency.Diagnose, debug, and enhance complex software systems, ensuring they fulfill mission-critical reliability standards.
Mar 11, 2026
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