Software Engineer - Onboard Infrastructure

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 relentless in its mission to develop the Waymo Driver—The World's Most Experienced Driver™. This innovative technology aims to enhance mobility access and significantly reduce traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service, having successfully completed over ten million rider-only trips, driven more than 100 million miles on public roads, and engaged in tens of billions of miles in simulation across more than 15 states in the U.S.The Onboard Infrastructure Team plays a crucial role in the design and development of the fundamental infrastructure for Autonomous Driving Vehicle (ADV) systems, which includes critical components such as perception, planning, and routing functionalities. This team is responsible for defining the architecture and frameworks necessary to implement these essential systems. Additionally, the team oversees the entire runtime environment for both on-car systems and large-scale simulations, ensuring optimal performance, reliability, and an exceptional developer experience throughout the development lifecycle. This is a hybrid position, reporting to a Staff Engineer, Tech Lead Manager.In this hybrid role, you will report to a Staff Software Engineer / TLM.Your Responsibilities:Lead architectural and framework enhancements to improve driving quality, performance, reliability, and overall developer experience.Comprehensively understand the Waymo code lifecycle—from deployment on autonomous vehicles to conducting large-scale simulations—to ensure top-tier quality across all operational environments.Design, implement, and deploy essential C++ APIs that handle critical functions such as asynchronous management, experimentation pipelines, multi-platform deployments, complex data extraction, debugging tools, and advanced system visualization.Act as a pivotal resource for onboard teams, assisting them in optimizing software setups for maximum efficiency, flexibility, scalability, and reliability, ensuring alignment with Waymo's rapidly evolving requirements.Enhance our internal tools, infrastructure, and development processes to accelerate engineering velocity while maintaining stringent control over system complexity, performance, reliability, and developer experience.

Waymo, an innovator in autonomous driving technology, aims to be the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo’s goal is to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver—The World’s Most Experienced Driver™—powers our fully autonomous ride-hailing service, having completed over ten million rider-only trips and traveled more than 100 million miles on public roads across 15+ U.S. states.The Planner/Perception Reliability team is dedicated to developing architectures, tools, and workflows that proactively address reliability challenges. Our focus is on ensuring the health of onboard software while maintaining high velocity in development.In this hybrid role, you will report to a Staff Software Engineer/Tech Lead Manager.Your Responsibilities Include:Designing the foundational architecture for onboard reliability, creating essential infrastructure and tools that enhance the robustness and reliability of onboard software.Gaining a comprehensive understanding of system behavior, implementing concise, low-noise metrics that provide immediate insights into vehicle and overall fleet performance.Collaborating across teams at Waymo to streamline reliability workflows, ensuring our business-critical operations run smoothly and safely at scale.Developing systems for proactive anomaly detection and automation of clustering, significantly easing the management of reliability and enabling early issue detection.

Role Overview Nuro is looking for a Software Engineer focused on Onboard Systems to help build and refine the software powering autonomous delivery vehicles. This position is based at Nuro's headquarters in Mountain View, California. What You Will Do Design and implement software for onboard vehicle systems Work closely with team members to improve reliability and efficiency of onboard technology Contribute to the development of solutions that support autonomous vehicle operations Collaboration Work alongside engineers and other specialists who are committed to advancing autonomous delivery. Expect to share ideas, solve problems together, and help shape the future of Nuro's onboard systems.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from Google's Self-Driving Car Project in 2009, Waymo has been tirelessly developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to diverse vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, Waymo continues to lead the industry in safety and efficiency.As a member of the Onboard Software Performance team, you will play a crucial role in ensuring that systems operating on Autonomously Driven Vehicles (ADV) adhere to stringent performance standards. This includes delivering essential outputs within strict latency constraints while optimizing the allocation of computing resources (CPU/GPU/TPU/RAM) for each submodule, all while maintaining high reliability and supporting rapid system evolution.

Who We Are Nuro is a pioneering self-driving technology firm dedicated to making autonomous vehicles accessible to everyone. Established in 2016, we are developing the world’s most scalable autonomous driving system, merging advanced AI with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed to enable various applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving implementations, Nuro empowers automakers and mobility platforms to transition to autonomous vehicles at a commercial scale—ushering in a safer, more connected future. About the Role We are in search of a talented Autonomy Engineer with a focus on onboard autonomy—the software that operates on our robots and vehicles, making real-time decisions based on onboard sensors and computational resources. You will be responsible for developing and deploying reliable autonomy features that function under stringent latency, computational, and safety requirements in dynamic real-world environments. What You’ll Do Design, integrate, and implement onboard autonomy behaviors such as navigation, obstacle avoidance, lane and route following, docking, and interaction behaviors. Develop and maintain components for real-time decision-making, including behavior planning, state machines/behavior trees, local planning, and control interfaces. Create robust sensor-driven autonomy pipelines on-device (using camera, lidar, radar, IMU, wheel odometry, GNSS), ensuring synchronization, calibration, and fault handling. Optimize autonomy performance concerning latency, CPU/GPU utilization, memory, and power on embedded systems such as NVIDIA Jetson and custom ECUs. Design and implement safety measures and fallback strategies, including health monitoring, degraded operational modes, watchdog systems, safe-stop protocols, and redundancy-aware logic. Oversee the integration of the autonomy stack on robotic platforms, including bring-up, debugging, profiling, logging, and release validation on actual hardware. Enhance onboard observability through structured logs, traces, metrics, event recording, and tools to facilitate incident reviews and quick iterations. Collaborate with teams in perception, mapping/localization, controls, hardware, and systems to establish clear interfaces and deliver comprehensive features. Engage in field testing and conduct root-cause analysis for autonomy issues encountered during real deployments.

Join Our Team as a Software Engineer, Core InfrastructureAs a pivotal member of the Core Infrastructure team at Moveworks, you will play a crucial role in designing and implementing the next generation of our AI infrastructure. With Moveworks experiencing rapid growth, our infrastructure team is dedicated to creating and maintaining reliable, resilient foundational services and frameworks that enable our products to scale efficiently and support our engineering teams in delivering customer-facing features swiftly.Collaborate closely with machine learning, search, product, data, and frontend teams to assess their infrastructure requirements, influence the infrastructure roadmap, and lead various projects from conception to execution.Design and construct core infrastructure components and foundational functionalities, including distributed key-value stores, schema-less data stores, authentication and authorization systems, event streaming, distributed configuration management, rate limiting, circuit breaking, feature flag systems, A/B testing, and traffic capture and replay.Enhance the observability and reliability of Moveworks systems by building and refining distributed logging, tracing, monitoring, and alerting infrastructures.Establish methodologies and metrics to evaluate the performance of microservices and product functionalities, identify bottlenecks, and enhance the overall performance and scalability of Moveworks applications.Consistently deliver time-sensitive work that is interconnected with other engineering teams.

Join Waymo as a Senior Software Engineer specializing in Onboard Software Integrity Infrastructure. In this role, you will develop and enhance software systems that ensure the reliability and safety of our autonomous vehicle technology. You will collaborate with cross-functional teams to design and implement solutions that uphold the highest integrity standards in software performance.

Who We AreNuro is a pioneering self-driving technology firm dedicated to making autonomous driving accessible to everyone. Established in 2016, Nuro is at the forefront of developing the most scalable driver, merging advanced AI with automotive-grade hardware. We license our innovative core technology, the Nuro Driver™, to facilitate diverse applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven success in self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to commercial-scale AVs, fostering a safer, more connected future.About the RoleAs our software team expands, we are on the lookout for skilled engineers to play a vital role in one of the following domains: Onboard Systems, Performance, or Devices Platform.Onboard Systems: Our onboard systems team develops a robust and high-performance platform enabling our autonomy teams to integrate their software and algorithms across various self-driving platforms. This role necessitates close collaboration with software, hardware, and systems/safety teams to ensure seamless integration of new software and hardware, addressing onboard errors and performance challenges.Performance: The Performance team focuses on optimizing the efficiency of Nuro’s AV software, ensuring that our vehicles respond swiftly and safely to their surroundings. This team builds systems and tools for ongoing performance analysis and spearheads efforts to reduce latency and enhance resource efficiency, enabling autonomy teams to implement a high-performing autonomy stack for both current and future iterations of the Nuro Driver.Devices Platform: The Devices Platform team is tasked with establishing the groundwork for Nuro’s onboard software concerning our sensor and compute platform, encompassing device drivers, inter-device protocols, and pipelines, as well as device runtime APIs. We are developing a hardware-agnostic platform for the perception and autonomy software stack, maximizing the reliability, quality, and performance potential of our sensor and compute hardware. This team also collaborates with internal stakeholders and external suppliers to define, evaluate, and integrate the next-generation hardware platform for Nuro’s products and develop essential tooling for continuous testing and validation.About YouYou possess significant expertise and experience in several of the following areas:

Nuro develops self-driving technology, aiming to make autonomous vehicles accessible for everyone. Since 2016, the team has blended advanced AI with automotive-grade hardware, licensing the Nuro Driver™ to support robotaxis, commercial fleets, and personal vehicles. Partnerships with automakers and mobility platforms help bring these autonomous solutions to commercial scale. The Senior Software Engineer - Software Update Infrastructure role is part of the Fleet Connectivity team based in Mountain View, California. This position focuses on building and maintaining systems that support release infrastructure and over-the-air (OTA) updates for Nuro’s autonomous vehicles. The work covers both cloud and robotics stacks, ensuring reliable network connectivity, telemetry, and software updates that are vital to Nuro’s mission. What you will do Design, build, test, deploy, and maintain software for release infrastructure and OTA updates. Manage project priorities, deadlines, and deliverables within the team and when working with other groups. Write high-quality, testable code that meets strict code quality standards. Monitor release system performance by defining and tracking KPIs, and implement optimizations to improve build costs, times, and storage usage. Create testing and validation programs to ensure system architecture and data flows are reliable. Contribute to documentation and participate in on-call rotations during business hours. Requirements 5+ years of experience working with large-scale distributed systems. Proficiency in C++ or Go. Comfortable working in Unix/Linux environments and with Bash scripting. Ability to translate broad requirements into detailed system designs. Strong knowledge of data structures, algorithms, and distributed system software design. Bachelor’s degree in Computer Science, Electrical Engineering, or a closely related field. Bonus points Experience with SQL. Familiarity with Google Cloud Platform (GCP). UI development experience. Background in OTA updates execution and management.

Who We Are Nuro is a pioneering self-driving technology company dedicated to making autonomy accessible to everyone. Established in 2016, we are on a journey to develop the world’s most scalable driver by integrating advanced AI with high-quality automotive hardware. Our proprietary technology, the Nuro Driver™, is licensed for a variety of applications including robotaxis, commercial fleets, and personal vehicles. With our proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more connected future. About the RoleWe are seeking a talented Software Engineer to join our Fleet Connectivity team, focusing on building and maintaining our release and over-the-air (OTA) update infrastructure. Our engineers work across both cloud and robotic systems to create reliable and efficient solutions for network connectivity, telemetry, and software updates, which are vital for scaling our autonomous vehicle vision. About the Work Design, develop, test, deploy, maintain, and enhance software for mission-critical systems such as release infrastructure and OTA updates. Manage project priorities, deadlines, and deliverables, coordinating effectively across teams. Write clean, testable code that adheres to our stringent code quality standards. Monitor and optimize the performance of our release systems, defining and tracking KPIs, and proposing improvements to enhance build cost, time, and space requirements. Create test and validation programs to ensure the robustness of system architecture and data flow. Contribute to documentation improvements and participate in an on-call rotation during business hours. About You 5+ years of professional experience with large-scale distributed systems. Strong proficiency in C++ or Go programming languages. Familiarity with Unix/Linux environments and Bash scripting. Ability to translate high-level requirements into detailed, cohesive system designs. Experience with data structures, algorithms, and software design principles tailored for large-scale distributed systems. Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

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™—aiming to enhance mobility access and prevent the thousands of lives lost to traffic accidents. The Waymo Driver is the backbone of 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 more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, we are revolutionizing transportation.The Labeling Platform Team is pivotal in creating data solutions that fuel innovative research and development throughout all phases of the ML Lifecycle: pretraining, supervised fine-tuning, and reinforcement learning. The high-quality labeled data produced by our team is essential for enhancing the Waymo Driver and various models that support broader business initiatives.

Waymo is pioneering the future of transportation with its cutting-edge 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™—to enhance mobility access and prevent traffic-related fatalities. With over ten million rider-only trips powered by the Waymo Driver, which has autonomously traveled over 100 million miles on public roads, we are transforming the way people experience transportation across 15+ U.S. states.Your Role:Design, develop, test, and launch innovative features for SQL-based query APIs and systems to assess and generate metrics for Waymo Driver evaluations.Analyze and enhance the performance and scalability of the query execution engine.Craft clean, testable, and maintainable code in C++ and SQL, adhering to industry best practices.Monitor system health and performance, proactively resolving issues as they arise.Collaborate with data scientists, product managers, and engineers to identify data requirements across Simulation, Planner, Behavior, Perception, and Commercialization, ensuring alignment with analytical needs.

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 developed the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility and saving lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and executed tens of billions of miles in simulation across more than 15 U.S. states.Our Hardware Engineering team is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, build, and refine the innovative products that serve as the eyes and ears of Waymo’s autonomous driving technology, integrating them seamlessly into our vehicle platforms. We invite curious and talented individuals to join us in driving innovation forward.This position follows a hybrid work model and reports to a Staff Software Engineer.

Join Waymo as a Senior Software Engineer specializing in Simulation Infrastructure, where you will lead the development of innovative simulation tools and frameworks that enhance our self-driving technology. You will collaborate with cross-functional teams to design robust software solutions that drive our mission to make transportation safer and more accessible through autonomous driving.

Your Role at MoveworksDevelop and enhance core infrastructure services and microservices that support our machine learning, frontend, and platform teams.Implement critical functionalities such as distributed configuration management, rate limiting, feature flagging, A/B testing, and traffic capture and replay.Optimize the performance, scalability, and observability of Moveworks cloud infrastructure.Consistently deliver time-sensitive projects in collaboration with other engineering teams.Take full ownership of features from inception to deployment while actively influencing the infrastructure roadmap.Engage in a highly collaborative, in-person role, working across various teams including Core and ML engineering.

At Intrinsic Robotics, a part of Alphabet, we are on a mission to revolutionize industrial robotics. We believe that advancements in artificial intelligence, perception, and simulation will redefine the capabilities of industrial robotics in the near future, with software and data at the heart of this transformation. Our vision is to make industrial robotics more intelligent, accessible, and user-friendly for countless businesses, entrepreneurs, and developers. We are a vibrant team of engineers, roboticists, designers, and technology enthusiasts dedicated to unlocking the creative and economic potential of industrial robotics.Role OverviewAs a Software Engineer on our Data Infrastructure team, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that drives our state-of-the-art robotics systems. Your contributions will facilitate the design, development, and operational workflows for robotics, integrating with Kubernetes-based cloud and on-device services. This includes the systems responsible for collecting and processing real-world data from our robots, feeding that information into our machine learning pipelines to train and assess the models that empower our robots with intelligence. You will collaborate closely with an enthusiastic Product and Engineering team to create software that enhances the capabilities of fleets of robots.Your Impact on Our MissionDesign, develop, and maintain scalable and reliable data pipelines for the collection, processing, and storage of vast amounts of robotics data (including sensor data, telemetry, and logs).Construct data pipelines to train the next generation of functional robot models.Develop and support tools and infrastructure for data exploration, analysis, and visualization.Implement and uphold best practices for data security and privacy.Collaborate with Customers, Product Managers, and Researchers to tailor data pipelines for analysis and research.

As a Senior Staff Software Engineer specializing in Compute Infrastructure, you'll play a pivotal role in designing, building, and optimizing our cloud infrastructure systems. Your expertise will help drive performance and scalability, ensuring our platforms support the ever-increasing demand for data processing and storage. You will work collaboratively with cross-functional teams to develop innovative solutions that enhance our technology stack.

About UsAt Aurora, our mission is to revolutionize transportation through safe and efficient self-driving technology, making it accessible to everyone.Explore the Aurora Driver and discover how we are paving the way for a new era in mobility and logistics.Join our team of dedicated professionals at Aurora, where you will engage in complex challenges and continuously enhance your expertise in a collaborative atmosphere. For updates, visit aurora.tech or connect with us on LinkedIn.We are on the lookout for a skilled and driven Staff Software Engineer to spearhead a new team focused on enhancing and modernizing our Offline Testing Infrastructure (OTI). OTI serves as a vital middle-layer infrastructure that supports our PR testing, test creation, and Verification & Validation (V&V) processes.This role is critical, with a strong emphasis on increasing the efficiency of our engineering teams and ensuring the reliability of our release cycles. The ideal candidate will build and lead a small, dedicated team to transition OTI to a stable, high-performance, and scalable platform.Responsibilities:Team Leadership: Act as the technical lead for the OTI team, guiding the strategic vision, execution, and long-term stability of our core infrastructure.Testing Ecosystem Development:Design a next-generation offline testing architecture that meets diverse team requirements, minimizes redundancy, and fosters collaboration across the organization.Collaborate with Test Creation and Test Drive teams to...

Join LinkedIn as a Distinguished Software Engineer specializing in Data Infrastructure, where you will lead innovative projects that enhance our data capabilities and support millions of users worldwide. This role requires a deep understanding of data architecture and an ability to design scalable solutions.