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Experience Level
Mid to Senior
Qualifications
Your responsibilities will include:Designing custom vehicle structures and trim for Waymo vehicles. Collaborating closely with OEM partners to define modifications to base vehicle architecture and components tailored to Waymo's requirements. Working in tandem with internal Waymo teams such as Styling, Product, System Architecture, Manufacturing, and Supply Chain to understand their needs and engineer solutions that fulfill their requirements. Engaging with Tier One suppliers to translate designs into production-ready realities, addressing DFM feedback and quality expectations. Developing and presenting trade matrices that outline various solutions to engineering challenges, considering factors like weight, cost, and packaging volume to recommend the best course of action. Utilizing your expertise in Vehicle Engineering to create hardware across various materials and manufacturing processes, including injection molding, castings, stampings, soft trim, and hard trim. You should possess:Experience in engineering vehicle structures and aesthetic A-Class components/assemblies with adherence to specifications such as stiffness, cost targets, and manufacturing timelines. Approximately 10 years of product design experience, having successfully launched multiple car platforms, ideally participating from early concept stages through to production launch.
About the job
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 dedicated its efforts to developing the Waymo Driver, The World's Most Experienced Driver™, aimed at enhancing mobility access and significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and has been integrated into various vehicle platforms and use cases. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, our technology has undergone extensive real-world and simulated testing across over 15 states in the U. S.
Our Hardware Engineering team is a vibrant, innovative, and collaborative assembly of electrical, mechanical, reliability, software, and vehicle engineers. We design, build, and refine the products that serve as the sensory foundation of Waymo's autonomous driving technology and seamlessly integrate them into vehicle platforms. We are on the lookout for inquisitive and talented individuals to join our team and propel our mission forward.
This hybrid role will report directly to a Vehicle Engineering Leader.
About Waymo LLC
Waymo is a pioneering company in the field of autonomous driving technology, committed to ensuring safer and more accessible mobility solutions. With a rich history stemming from Google’s initial self-driving car project, Waymo continues to innovate and lead in the development of advanced autonomous systems.
Join Waymo, a leader in autonomous driving technology, as a Vehicle Planning & Buy-Sell Operations Specialist. In this pivotal role, you will be responsible for optimizing vehicle fleet management while ensuring seamless buy-sell operations. Your analytical skills will contribute to the efficiency and reliability of our vehicle operations, making a significa…
Full-time|$204K/yr - $259K/yr|On-site|Mountain View, California
Join Waymo, a pioneering autonomous driving technology company dedicated to creating the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has made significant advancements in developing the Waymo Driver—The World's Most Experienced Driver™. Our mission is to enhance mobility and save lives by providing safe, fully autonomous ride-hail services. With over ten million rides completed and more than 100 million miles driven autonomously across 15+ U.S. states, we are at the forefront of innovation in transportation. As a Software Engineer specializing in Vehicle Dynamics Planning, you will:Collaborate with a dynamic team to ensure our vehicles operate safely and comfortably in complex environments with unpredictable inputs.Develop and implement algorithms to assess and enhance the performance of cutting-edge technologies, ensuring adaptability across various urban landscapes and weather conditions.Engage in groundbreaking projects that integrate traditional robotics with modern machine learning techniques.
Full-time|$204K/yr - $259K/yr|Hybrid|Mountain View, CA USA; New York, NY USA; San Francisco, CA USA;
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 save lives currently lost in traffic incidents. With over ten million rider-only trips facilitated by our technology, and more than 100 million miles driven autonomously on public roads, we are transforming transportation across 15+ U.S. states.The Predictive Planning team (PrePlan) is responsible for designing and implementing advanced machine learning solutions that forecast future world states and plan the Waymo Driver’s actions. Our goal is to harness Waymo’s extensive driving data to create robust, adaptable, and efficient deep neural networks that empower our autonomous vehicles to navigate complex environments safely.In this hybrid position, you will collaborate closely with our PrePlan team and be matched with your team after completing onsite interviews.Your Responsibilities Will Include:Developing cutting-edge ML-driven prediction and planning systems to boost the capabilities of our ML driver and facilitate the rapid growth of Waymo’s services.Converting open-ended, real-life challenges into well-defined ML problems, researching and applying state-of-the-art ML techniques, such as foundation models and reinforcement learning, to enhance autonomous vehicle planning and prediction.Collaborating with top-tier researchers, engineers, and product managers to ensure safe and smooth planning behaviors for all road users, aligning with product specifications.Creating and assessing large-scale models, integrating them into Waymo’s production planning software for real-world applications in close cooperation with the Planner and Research teams.
Full-time|$180K/yr - $260K/yr|On-site|Mountain View, CA
About UsGatik is at the forefront of transforming autonomous middle-mile logistics, revolutionizing the B2B supply chain with our pioneering autonomous transportation-as-a-service (ATaaS) solution. We prioritize safe, reliable deliveries while enhancing freight movement and minimizing congestion. Our focus is on short-haul B2B logistics for Fortune 500 retailers, and in 2021, we launched the world’s first fully driverless commercial transportation service in collaboration with Walmart. Gatik's Class 3-7 autonomous trucks are actively deployed across key markets, including Texas, Arkansas, and Ontario, Canada, pushing the boundaries of innovation in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With exceptional capabilities in both highway and urban environments, Gatik Carrier™ serves as a comprehensive solution integrating advanced software and hardware that powers our fleet, enabling seamless integration into our customers' logistics operations.About the RoleWe are searching for experienced Senior or Staff Engineers to join our team and develop the core behavior planning system for our autonomous vehicles, facilitating safe and intelligent decision-making. This role involves designing behavior tree architectures, building robust C++ infrastructure, collaborating across autonomy teams, evaluating planner performance, and providing technical leadership within the team. This position is onsite at our Mountain View, CA office, requiring presence five days a week!
Full-time|$193.9K/yr - $291.1K/yr|On-site|Mountain View, California (HQ)
About Us Nuro is an innovative self-driving technology firm dedicated to making autonomy accessible for everyone. Established in 2016, Nuro is on a mission to build the world’s most scalable autonomous vehicle, integrating advanced AI with automotive-grade hardware. We license our core technology, the Nuro Driver™, to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms a straightforward pathway to commercial-scale autonomous vehicles—creating a safer, richer, and more interconnected future. Role Overview The Behavior Planning Team at Nuro is responsible for advancing the Nuro Driver’s prediction and planning systems to enable secure, driverless autonomy. We seek talented software engineers to explore, develop, and implement technologies for our planning stack, ensuring safe rides across diverse roadways. This role involves creating a versatile and scalable machine learning planner capable of powering Level 4 driving for robotaxi applications and serving as a Level 2 solution for leading automobile manufacturers globally. The Nuro Driver™ operates in various environments, from structured streets and highways to unstructured areas like parking lots and busy traffic situations. You will design and develop cutting-edge algorithms that empower the Nuro Driver to adeptly plan and navigate intricate scenarios with human-like proficiency. Your work will focus on formulating intelligent strategies to utilize diverse datasets effectively, optimizing our learned behavior stack. If you are eager to implement state-of-the-art robotics and machine learning technologies in a collaborative setting with immediate impact, we invite you to join our team! Responsibilities Design and implement innovative robotics and machine learning technologies for the Nuro Driver. Collaborate cross-functionally with engineers in behavior, perception, mapping, and ML research to push the boundaries of autonomous driving. Translate theoretical solutions into production-ready software to deploy new technologies on real vehicle platforms safely, efficiently, and at scale. Provide mentorship and technical guidance to junior members of the behavior team. Qualifications PhD or Master’s Degree in robotics, computer science, mechanical/aerospace engineering, electrical engineering, mathematics, or a related field. Expertise in robotics with a focus on path planning, motion planning, trajectory generation, behavior planning, and optimal control. Experience with machine learning techniques such as deep learning, reinforcement learning, and data-driven decision-making.
Role Overview:Join our dynamic team at tsmg as an Operations Support Specialist. In this engaging role, you will leverage both hardware and software tools to effectively collect, process, and manage operational data. We are looking for a proactive individual with exceptional organizational and communication skills, who thrives in fast-paced environments and is eager to adapt to new challenges.
Who We AreGatik is at the forefront of transforming B2B supply chain logistics through our innovative autonomous transportation-as-a-service (ATaaS) solution. Our mission is to ensure safe and consistent deliveries while alleviating congestion in freight movement. In 2021, we proudly launched the world’s first fully driverless commercial transportation service in collaboration with Walmart, utilizing our Class 3-7 autonomous trucks in key markets like Texas, Arkansas, and Ontario, Canada.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is specifically engineered to transport freight efficiently and safely across the middle mile. This comprehensive solution features advanced software and hardware, seamlessly integrating into our clients' logistics operations.About the RoleWe are seeking a dedicated and skilled Operations Recruiter to join our Fleet Operations team. Your primary objective will be to expand Gatik’s Autonomous Vehicle Operator (AVO) workforce through full-cycle, high-volume recruitment of Class 3-7 commercial vehicle drivers. You will work in close collaboration with Fleet Operations, Talent Acquisition, and third-party vendors to identify, evaluate, and hire exceptional candidates who fulfill both regulatory and company expectations.This role demands a high level of impact and is suited for individuals who thrive in dynamic environments, demonstrating a passion for operational excellence and effective talent acquisition.This position is located onsite at our Mountain View, CA office!
Full-time|$250.8K/yr - $318.6K/yr|Hybrid|Mountain View, CA, USA; San Francisco, CA, USA; New York City, NY, USA
About Waymo Waymo develops autonomous driving technology with the goal of making transportation safer and more accessible. Originally launched in 2009 as the Google Self-Driving Car Project, Waymo has logged over 100 million autonomous miles and completed more than ten million rider-only trips. The company focuses on building the Waymo Driver to support safe, efficient travel across a range of vehicle platforms. Team Overview: Prediction & Planning - System Architecture The Predictive Planning (PrePlan) team builds machine learning systems that help the Waymo Driver anticipate possible scenarios and plan actions accordingly. By transforming large-scale driving data into robust deep neural networks, the team enables vehicles to navigate complex, real-world environments with confidence. The system architecture group ensures these models work smoothly within Waymo's technology stack. This includes attention to kinematics, interfaces, and data representations. The team works across projects involving data pipelines, model integration, evaluation metrics, and the planner systems that guide autonomous vehicles. Role Details Title: Staff Machine Learning Engineer, Prediction & Planning - System Architecture Location: Mountain View, CA; San Francisco, CA; New York City, NY (hybrid) Reports to: Technical Lead Manager
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.
Position: Senior Planning AnalystLocation: Mountain View, CA 94043Duration: 6+ monthsRate: $24.44/hour on W2Role OverviewCollaborate with various business stakeholders, including planners, business users, and strategic suppliers, to align project priorities and identify potential risks.Analyze ASCP planned orders and demand-supply data to effectively manage raw material supply for production builds.Develop and implement basic spreadsheet-based forecasting and inventory planning models to oversee safety stock, reorder points, and quantities.Engage with operations and management teams to communicate results and address customer escalations.Deliver daily and weekly metric reports to Google business stakeholders.
We are seeking a highly skilled Senior IT Operations Specialist who is fluent in Korean to join our dynamic team at sbtglobalinc. This role is crucial in ensuring the seamless operation of our IT infrastructure and supporting our global initiatives. The ideal candidate will possess a blend of technical expertise and strong communication skills to effectively collaborate with international teams.
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!
Full-time|On-site|Mountain View, CA, USA; San Francisco, CA, USA
Join Waymo, a pioneer in autonomous vehicle technology, as the Operations System Manager. In this key role, you will oversee and streamline operations, ensuring the efficient running of our cutting-edge systems. Your leadership will be vital in driving innovations and optimizing processes to enhance our service delivery.
Full-time|$120K/yr - $151K/yr|On-site|Mountain View, CA
Waymo is pioneering the future of autonomous driving technology, striving to become the most trusted driver globally. 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™—to enhance mobility access and save lives lost in traffic incidents. With over ten million rider-only trips accomplished through autonomous driving across 100 million miles on public roads and extensive simulation, we are redefining transportation across 15+ U.S. states.The Software Quality Operations (SWQOps) team plays a pivotal role in ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to create an adaptable and scalable operation, significantly powered by AI, to provide the critical insights necessary for the confident deployment and growth of Waymo’s autonomous vehicle service.As Waymo expands into approximately 20 new cities by the end of 2026, the SWQOps team is vital to this growth. The Scenario Operations team is responsible for delivering and maintaining simulation-based directed testing coverage that evaluates the safety and performance of our driver. As a Technical Specialist in Scenario Operations, you will act as the Subject Matter Expert, bridging the gap between our simulation software capabilities and real-world operational execution.Key Responsibilities:Tooling Development & Optimization: Collaborate with Product and Engineering teams to design, test, and deploy state-of-the-art simulation tools that effectively merge human-in-the-loop (HITL) precision with AI-driven automation, ensuring scalable test coverage.Rapid Issue Response: Lead the technical processes for rapid-response simulation-based scenario testing. When issues arise in the field, leverage your comprehensive understanding of the A/V software stack and our tooling to facilitate root-cause analysis and fix validation.Policy Development: Act as the essential link between AI/ML development and operational execution, ensuring alignment and efficiency.
Full-time|$196K/yr - $248K/yr|Hybrid|Mountain View, CA, USA ; Novi, MI, USA
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 dedicated its efforts to developing the Waymo Driver—The World's Most Experienced Driver™—aimed at enhancing mobility access and significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and has been integrated into various vehicle platforms and use cases. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, our technology has undergone extensive real-world and simulated testing across over 15 states in the U.S.Our Hardware Engineering team is a vibrant, innovative, and collaborative assembly of electrical, mechanical, reliability, software, and vehicle engineers. We design, build, and refine the products that serve as the sensory foundation of Waymo's autonomous driving technology and seamlessly integrate them into vehicle platforms. We are on the lookout for inquisitive and talented individuals to join our team and propel our mission forward.This hybrid role will report directly to a Vehicle Engineering Leader.
Join our dynamic team at bcforward as a Planning Analyst, where you will play a pivotal role in supporting strategic planning and operational excellence. In this position, you will leverage analytical skills to provide insights that drive decision-making and enhance overall business performance. If you are passionate about data analysis and have a keen eye for detail, we invite you to apply and contribute to our innovative projects.
Full-time|$120.3K/yr - $180.4K/yr|On-site|Mountain View, California (HQ)
About UsNuro is at the forefront of self-driving technology, dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are developing the most scalable autonomous driving system, integrating advanced AI with automotive-grade hardware. Our core technology, the Nuro Driver™, is licensed for diverse applications, from robotaxis to commercial fleets and personal vehicles. With years of successful self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale AVs, fostering a safer and more connected future.Your RoleWe are seeking a talented Mechanical Engineer to join our distinguished Autonomous Vehicle Hardware team. You will lead the research, design, and implementation of hardware solutions that empower our autonomous systems. Your responsibilities will include packaging electronics and sensors, technology development, and vehicle integrations tailored to customer programs. You will create robust hardware solutions that support our L4 autonomy system across various platforms and operational conditions.Key ResponsibilitiesLead the engineering design and development of autonomous hardware required for the Nuro Driver system on customer platforms.Collaborate with vehicle partners to specify and integrate systems that meet performance needs and customer requirements.Work across cross-functional teams to develop and execute sensing and electronics architecture for self-driving robots intended for widespread public road deployment.Benchmark performance, integration, and reliability of electronics technologies to guide make vs. buy decisions.Identify and manage key suppliers to transition concepts into production-ready solutions.Oversee the design and validation of parts and assemblies from proof-of-concept through to production readiness.Implement quality improvements, cost reductions, and efficiency enhancements for parts.Effectively communicate technical decisions and ongoing issues to management.
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.
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.
Full-time|$180K/yr - $250K/yr|On-site|Mountain View, CA
About Us At Gatik, we are pioneers in the realm of autonomous middle-mile logistics, transforming the B2B supply chain with our innovative autonomous transportation-as-a-service (ATaaS) solution. Our focus on ensuring safe and reliable deliveries enhances freight movement efficiency, alleviating congestion. In 2021, we proudly launched the world’s first fully driverless commercial transportation service in partnership with Walmart, utilizing our Class 3-7 autonomous trucks across major markets like Texas, Arkansas, and Ontario, Canada, leading the charge in freight transportation innovation. Our proprietary Level 4 autonomous technology, Gatik Carrier™, is designed for safe and efficient freight transportation between pick-up and drop-off points in the middle mile. With advanced capabilities in both highway and urban settings, Gatik Carrier™ integrates cutting-edge software and hardware, facilitating seamless integration into our customers' logistics operations. About the Role As the Senior Manager of AV Deployment Readiness, you will take ownership of the complete orchestration of deployments from initial planning to go-live. Your role will ensure that production, validation, deployment, and all supporting infrastructure, staffing, and customer commitments are aligned and executed on schedule. You will be the key driver for successful deployment delivery. This position requires you to work on-site five days a week at our Mountain View, CA office.
