Staff Software Engineer, DevAI

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. With the Waymo Driver powering our fully autonomous ride-hail service, we have achieved over ten million rider-only trips, backed by more than 100 million miles driven autonomously on public roads and tens of billions of miles simulated across 15+ U.S. states.The Waymo Mapping Team is on a mission to create a high-resolution map of the world to ensure safe autonomous driving. Our innovative approach combines automated and manual mapping techniques, alongside building the necessary infrastructure to store, process, and disseminate mapping data. Collaboration is key as our team partners with various Waymo divisions that depend on map data.In this role, you will:Lead a dynamic team focused on Field Response infrastructure, driving the next phase of Waymo’s rapid expansion.Own the strategy and roadmap for Mapping change detection, a pivotal element in scaling our mapping capabilities.Recruit and mentor a team of engineers to tackle complex business challenges and technical obstacles.Design and implement mission-critical systems that enable low-latency responses from Waymo’s fleet signals.Build resilient backend infrastructure and data processing systems that can scale with Waymo’s growth.You have:A seasoned managerial background, enthusiastic about leading teams while maintaining technical expertise.Proven experience as a backend engineer, with a history of building server-side infrastructure and effective data processing systems.Strong programming skills, with C++ being highly preferred.Over 7 years of total professional experience, including at least 2 years in a managerial role.A robust sense of ownership and the ability to navigate uncertainty effectively.A successful track record of guiding teams through complex technical challenges.It’s a bonus if you possess:Experience in Mapping and Localization.Background in the Autonomous Vehicle industry.Experience in hiring and developing a new team.#Li-Hybrid

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access while saving countless lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips taken, our driver has autonomously covered over 100 million miles on public roads and engaged in tens of billions of miles in simulation across more than 15 U.S. states.The Waymo Mapping team is tasked with creating an ultra-high-resolution map of the world to ensure safe autonomous driving. We employ a blend of automated and manual techniques to generate the map and develop the necessary infrastructure for storing, processing, and distributing this crucial data. Our team partners closely with various Waymo teams that rely on map data.In this role, you will:Lead a talented group of software engineers to scale our mapping infrastructure and revolutionize the mapping schema.Assess and implement machine learning models that autonomously generate maps from raw data.Collaborate with onboard teams to refine Waymo’s mapping format for better automation compatibility.Develop backend infrastructure for the storage and processing of diverse map data.Expand our systems to facilitate global mapping efforts.

Who We AreAurora Innovation is on a mission to revolutionize transportation through self-driving technology, delivering safety, efficiency, and accessibility for all.The Aurora Driver is set to usher in a new era of mobility and logistics, making travel safer and more efficient.Join Aurora to tackle complex challenges with a team of passionate and intelligent individuals, fostering growth and expertise in the field. For the latest updates, visit aurora.tech or connect with us on LinkedIn.We are looking for a Staff Software Engineer - Online Maps to join our Maps ML team. This team is pivotal in providing real-time map data to the Aurora Driver as it navigates the complexities of the world.Your Role:Lead and collaborate with the Online Maps autonomy team to enhance and implement perception algorithms that empower the Aurora Driver.Research and develop cutting-edge deep learning and machine learning models for robust perception solutions in diverse scenarios.Create innovative verification and validation technologies and methodologies.Work closely with engineers from online maps, simulation, and safety to ensure online mapping technology is ready for autonomous operations.Build infrastructure and tests that support critical decisions for deploying the Aurora Driver.Integrate, test, and deploy production-ready solutions into the codebase that powers the Aurora Driver.

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

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and ultimately save lives lost to traffic incidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated and more than 100 million miles driven autonomously on public roads, along with extensive simulation across over 15 U.S. states, we are redefining transportation.The Software Engineering team is the brain behind Waymo’s autonomous driving capability. Our systems empower the Waymo Driver to accurately perceive its surroundings, make informed decisions, and safely transport individuals to their destinations. We tackle complex technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a software engineer or researcher with a passion for Level 4 autonomous driving, we want to connect with you.The Sensor Foundations Team is essential in providing clean, optimized sensor data through robust APIs to our Perception models. We aim to abstract hardware differences and deliver low-level Perception signals using advanced algorithms or machine learning approaches. Team projects require a versatile skill set, including robotics, system integration, code optimization, and machine learning expertise.Within the Optimization sub-team, we leverage our knowledge of CPUs, GPUs, and sophisticated algorithms to rapidly process Waymo’s sensor data, feeding it into Perception ML models. Our focus on low-level compute hardware understanding allows us to apply this knowledge throughout the entire technology stack. We are seeking a Tech-Lead Manager with expertise in CPU, GPU, or system-level optimization to guide our small team of Software Engineers. Depending on your experience, you may also oversee system-level optimization and manage our compute resources.This position follows a hybrid work model and reports directly to the Technical Lead Manager of the Sensor Foundations team.

Who We Are Nuro is on a mission to enhance everyday life through robotics. Since our founding in 2016, we have dedicated ourselves to pioneering autonomous driving technology and bringing it into commercial use. Our flagship Nuro Driver™ represents a cutting-edge autonomous driving system that integrates advanced hardware with a sophisticated AI-driven self-driving software. Designed to adapt and optimize based on real-world data, the Nuro Driver™ is among the few driverless technologies currently operating on public roads. Having secured over $2 billion in funding from prominent investors such as Fidelity, Bailie Gifford, T. Rowe Price, and Google, Nuro collaborates with some of the world's leading brands, including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven. About the Role We are expanding our robotics team and seeking a talented Software Engineer to join our Localization and Mapping division. In this role, you will tackle complex challenges related to the design and implementation of mapping systems for our current and future robotic solutions. We are looking for an engineer who possesses a strong background in developing resilient mapping systems that operate effectively in unpredictable environments, and who is eager to contribute to the evolution of robotic navigation in logistics and transportation. About the Work Research, develop, and implement cutting-edge mapping and state estimation algorithms. Evaluate and characterize the accuracy and performance of these algorithms while creating map solutions that utilize diverse data sources. Develop well-tested C++ software and conduct deployment and testing on our robotic platforms and in simulations. Collaborate within a small, focused team to deliver high-quality mapping and localization solutions that empower the next generation of mobile robots. Engage with stakeholders across autonomy, infrastructure, and systems teams to address map needs and specifications. About You At least 2 years of industry experience as a software engineer. Proficient in C/C++ programming, with a focus on developing reliable, safety-critical software. Hands-on experience in creating mapping and/or localization algorithms for autonomous vehicles, drones, or similar technologies. Thorough understanding of state estimation, probabilistic filtering, and 3D geometry. Experience working with various sensors, such as lidar and cameras. Bonus Points PhD or Master’s Degree in computer science, robotics, or a related field.

Who We AreAt Aurora, we are committed to advancing self-driving technology to ensure safer and more efficient transportation solutions for everyone.Discover The Aurora Driver and join us in shaping the future of mobility and logistics.At Aurora, you'll engage with complex challenges alongside a team of dedicated and intelligent professionals, enhancing your expertise and expanding your knowledge base. For updates from Aurora, visit aurora.tech or follow us on LinkedIn.We are seeking a talented Software Engineer to join our Map Fusion team. In this role, you will develop sophisticated algorithms that empower our vehicles to detect and respond to dynamic environmental changes, such as construction zones and emergency vehicles, in real-time. This is a unique opportunity to work at the crossroads of traditional geometric algorithms and cutting-edge machine learning, addressing critical safety challenges in real-world scenarios.

At Intrinsic Robotics, part of Google’s AI robotics division, we are redefining the future of industrial robotics through cutting-edge advancements in AI, perception, and simulation. Our mission is to make intelligent robotics accessible to countless businesses, entrepreneurs, and developers. Our dedicated team of engineers, roboticists, designers, and technologists is committed to unlocking the economic and creative potential of industrial robotics.Role OverviewAs the Technical Lead Manager for the Extensibility Squad, you will play a pivotal role in enabling software developers to leverage the Intrinsic platform APIs and utilize our tools to enhance Flowstate. You will lead an engineering team focused on improving our platform's software accessibility for external users, while also fostering close collaboration with ROS and other open-source ecosystems. This position requires a blend of technical leadership, hands-on contribution, and people management, where you will guide the technical direction, mentor your team, and work directly with our SDK, primarily using C++, Python, Protobuf, and a growing TypeScript codebase.Impact of Your WorkEmpower developers by enhancing their access to the Intrinsic platform APIs and tools for Flowstate.Lead initiatives to improve software accessibility for external users.Drive technical integration with ROS and other open-source platforms.Mentor and support engineers in their professional growth while actively contributing to projects.

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

About CyngnLocated in Mountain View, CA, Cyngn is a pioneering publicly traded company focused on autonomous technology. We specialize in deploying self-driving industrial vehicles, such as forklifts and tuggers, across factories, warehouses, and facilities throughout North America. To advance this innovative sector, we seek driven, creative, and experienced professionals to join our mission. If you thrive in a collaborative environment where you can build, innovate, and explore alongside a passionate team, Cyngn is the perfect place for you.Dynamic Work Environment.With a tight-knit team of under 100 employees, Cyngn operates with the excitement of a startup while being publicly traded. This unique blend offers our team members both close collaboration with leadership and the benefits of publicly traded equity liquidity.From Concept to Reality.Our autonomous vehicles are not just concepts; they are actively deployed for real clients today, ensuring that your contributions will have a significant and visible impact.A Human-Centric Team.We pride ourselves on being a diverse and welcoming team of intelligent individuals who value collaboration and trust. At Cyngn, every team member's perspective is valued, driving our innovative spirit.Role Overview: As a Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be instrumental in delivering vital enhancements and new functionalities to our calibration, localization, and mapping systems. You will work within a focused, agile team to develop production-grade software that facilitates the efficient and accurate generation of HD maps at Cyngn deployment sites, as well as reliable localization for our autonomous vehicle fleets. Collaborative efforts with cross-functional teams, including vehicle infrastructure, hardware, QA, and other autonomy divisions (such as Perception, Decision, Planning, and Control), will be essential to ensure seamless integration, thorough testing, and ultimately safe and efficient operations for the next generation of Cyngn's autonomous vehicles.

About UsGatik is a pioneering company in autonomous middle-mile logistics, transforming the B2B supply chain with our innovative autonomous transportation-as-a-service (ATaaS) solutions. We prioritize safety and reliability in deliveries while enhancing freight movement and reducing congestion. In 2021, we launched the world's first fully driverless commercial transportation service in collaboration with Walmart, utilizing our Class 3-7 autonomous trucks that are now operational in major markets such as Texas, Arkansas, and Ontario, Canada, driving the future of freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is specifically engineered to ensure safe and efficient transport of freight between pick-up and drop-off points in the middle mile. With its robust capabilities for both highway and urban settings, Gatik Carrier™ integrates advanced software and hardware, seamlessly blending into our customers' logistics operations.Position OverviewWe are in search of a highly motivated and skilled GIS Engineer specializing in HD Mapping to enhance our team. In this role, you will play a crucial part in the development and optimization of our HD Mapping production pipeline.Your hands-on responsibilities will include working with extensive LiDAR and camera datasets, creating geospatial processing workflows, and refining our routing and topology validation systems. You will collaborate closely with internal teams and external partners to ensure high-quality map delivery within strict operational timelines.This position demands a strong enthusiasm for geospatial data and excellent software engineering capabilities, with the ability to excel in a dynamic production environment.

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver supports our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving over 100 million miles on public roads and countless simulations, Waymo is at the forefront of the transportation revolution.Our Software Engineering team is the brain behind Waymo's fully autonomous driving technology. Our innovative software empowers the Waymo Driver to interpret its surroundings, make informed decisions, and ensure safe travel for passengers. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, all while collaborating closely with hardware and systems engineers. If you are a passionate software engineer or researcher interested in Level 4 autonomous driving, we encourage you to connect with us.In this hybrid position, you will report directly to a Technical Lead Manager, Senior Staff Engineer.

Who We AreAurora Innovation is on a mission to revolutionize transportation by making self-driving technology safe, efficient, and widely accessible.Meet the Aurora Driver — a transformative step toward a future where mobility and logistics are safer and more effective for everyone. At Aurora, you will face complex challenges alongside a team of dedicated and intelligent professionals, allowing you to grow your expertise and broaden your knowledge base. Stay updated with the latest from Aurora by visiting aurora.tech or by following us on LinkedIn. We are seeking a talented Manager of Map Production to lead a vital function within our Mapping Operations team. This position involves overseeing a group of subject matter experts dedicated to delivering high-quality map annotations, enforcing policies, and resolving escalations while enhancing performance and efficiency across a diverse international vendor network.The ideal candidate will possess a robust background in operational leadership, process optimization, and performance management. You will be instrumental in creating scalable workflows, establishing comprehensive documentation and standards, and leveraging data to drive continuous improvements in production performance.In this role, you will:Mentor and develop a team of 8-10 skilled Operators through coaching, ongoing performance evaluations, and career development initiatives.Cultivate a culture of accountability, operational excellence, and persistent improvement.Manage the performance of a large, globally distributed workforce using data-driven management systems and standardized operating procedures.Ensure production targets for throughput, quality, and productivity are established and consistently achieved.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips facilitated, our technology has driven over 100 million miles on public roads and tens of billions in simulated environments across more than 15 U.S. states.The Perception team is responsible for designing systems that learn spatial-temporal representations and their semantic meanings within the self-driving car's environment. We collaborate with downstream teams for optimization and integration into the Waymo Driver. Our research addresses real-world challenges while working alongside Alphabet's research teams. By utilizing millions of miles of driving data from diverse sensors, engineers are empowered to (1) create efficient learning methods from large-scale real-world data, (2) develop scalable models and training processes, (3) analyze real-world behaviors to manage the complexities of real-world interactions, and (4) optimize models for both our onboard and offboard hardware.In this hybrid role, you will report directly to a Senior Staff Technical Lead Manager.

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

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our mission is to enhance mobility access and save lives through innovative solutions. The Waymo Driver—The World’s Most Experienced Driver™—powers our fully autonomous ride-hail service and adapts to various vehicle platforms and use cases. With over ten million rider-only trips and 100 million miles driven autonomously on public roads, we are transforming the future of transportation.We are on the lookout for a seasoned Technical Lead Manager (TLM) to spearhead our Vehicle Understanding team. In this pivotal role, you will oversee production modules related to Vehicle Understanding for the Waymo Driver, focusing on vehicle classification, states, and intents. This position is crucial for Waymo's expansion both domestically and internationally, allowing you to make a significant impact and drive innovative changes that enhance the generalizability of the Waymo Driver.In this hybrid position, you will report directly to our Senior Staff TLM of Semantics Understanding.

Who We Are Nuro is at the forefront of self-driving technology, dedicated to making autonomy accessible to everyone. Established in 2016, we are developing the world’s most scalable driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed for a diverse array of applications, from robotaxis to commercial fleets and personal vehicles. With years of proven technology through successful self-driving deployments, Nuro provides automakers and mobility platforms with a clear path to commercial-scale autonomous vehicles, paving the way for a safer, richer, and more connected future. About the Team Our robotics team is expanding, and we are seeking a Machine Learning Software Engineer to join our Online Mapping team. We are looking for an engineer with a strong background in robotics and machine learning to tackle the complex challenges associated with designing and implementing onboard mapping models, managing data and labels, and developing training pipelines. About the Role In this role, you will be tasked with building robust machine learning and mapping systems that can operate in unpredictable environments using real data from cameras, LiDAR, and other sources. Your passion for advancing robot navigation for logistics and transportation will drive our mission forward. About the Work Research, develop, and implement cutting-edge online mapping models and algorithms. Evaluate and analyze the performance of our online mapping system, identifying improvement opportunities in architecture, data, and end-to-end ML systems. Collaborate cross-functionally with other ML teams to ensure our models are integrated into centralized architectures. Engage with stakeholders across autonomy, infrastructure, and systems teams to address online mapping needs and requirements.

About UsAurora Innovation is dedicated to advancing self-driving technology to create safer, more efficient mobility solutions. Our vision is to revolutionize the transportation ecosystem, making it accessible and reliable for everyone.To learn more about our innovative technology, check out The Aurora Driver, which is set to transform logistics and personal transportation.At Aurora, we seek out talented individuals from diverse backgrounds, united in our mission to enhance road safety and improve the efficiency of goods transportation through cutting-edge technology. We are currently in search of a Staff Technical Product Operations Manager who will play a pivotal role in maximizing the potential of our Mapping operations and self-driving technologies.In this dynamic position, you will leverage your strategic, operational, and product expertise to ensure alignment across teams, optimize processes, and accelerate product development timelines. You'll collaborate closely with Engineering, Mapping Operations, Systems Safety, and Product Program Management to translate business goals into actionable plans for our teams.Your strong product management instincts, paired with operational agility, will enable you to design scalable systems for our Mapping organization. You will focus on enhancing the operational framework for our Mapping solutions, overseeing aspects such as HD map expansion, updates, change detection, validation, and readiness for release.

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