Software Engineer - Onboard Infrastructure

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.

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.

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 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 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.

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.

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.

Join Nuro as a Senior Software Engineer specializing in Perception Data Infrastructure. In this pivotal role, you will be responsible for developing and optimizing systems that process perception data, enabling our autonomous vehicles to navigate safely and efficiently. You will collaborate with cross-functional teams to enhance our data infrastructure, ensuring reliability and scalability.

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.

Moveworks is seeking a Senior Software Engineer focused on Core Infrastructure to help advance the platform that powers automated IT issue resolution. This position is based in Mountain View. Role overview This role centers on building and improving the foundational systems that support Moveworks’ automation platform. As part of the core infrastructure team, you will work closely with other engineers to design, develop, and maintain systems that scale reliably. What you will do Collaborate with engineering peers to shape the architecture of critical infrastructure components Implement solutions that support seamless automation and platform growth Contribute ideas and expertise to ongoing improvements in system performance and reliability Who we’re looking for Engineers who enjoy tackling complex infrastructure challenges Individuals motivated to deliver software that improves user experience and operational efficiency Those who thrive in a collaborative, evolving environment

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:

Your Role As a key member of the Core Infrastructure team at Moveworks, you will play a pivotal role in designing and implementing the next evolution of our AI infrastructure. With Moveworks experiencing rapid growth, the infrastructure team is charged with creating and maintaining robust foundational services and frameworks that empower our products to scale effortlessly while enabling our engineering teams to rapidly develop customer-facing features. Collaborate closely with teams in machine learning, search, product development, data, and frontend engineering to assess infrastructure requirements, shape the infrastructure roadmap, and spearhead various projects. Design and develop core infrastructure and essential functionalities including distributed key-value stores, schema-less data storage, authentication and authorization mechanisms, event streaming, distributed configuration management, rate limiting, circuit breaking, feature flagging systems, A/B testing, and traffic capture and replay. Enhance the observability and reliability of Moveworks systems by improving distributed logging, tracing, monitoring, and alerting capabilities. Establish methodologies and metrics for assessing the performance of microservices and product functionalities, identify and resolve bottlenecks, and enhance the performance and scalability of Moveworks applications. Consistently deliver time-sensitive work that is interdependent with other engineering teams.

About NuroNuro is at the forefront of self-driving technology, driven by our mission to make autonomous vehicles accessible to everyone. Established in 2016, we are developing the most scalable driver, integrating advanced AI with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven technology in self-driving deployments, we provide automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, fostering a safer, more connected future.Your RoleWe invite you to join our expanding Infrastructure team as a Senior Software Engineer specializing in Cloud Infrastructure. In this role, you will:Engage collaboratively across teams at Nuro to ensure alignment with customer needs.Design and implement high-quality, scalable solutions for infrastructure-as-code, application deployment, production system monitoring, health status tracking, and performance enhancements.Develop automation tools to enhance developer experience, infrastructure reliability, and security.

Role overview This Senior Software Engineer position at Aurora Innovation focuses on sensor infrastructure for autonomous vehicles in Mountain View, California. The role centers on building and improving sensor technologies to ensure they operate reliably in real-world scenarios. Daily work involves designing, implementing, and refining sensor systems that are critical to the performance of autonomous vehicles. What you will do Develop and optimize software to integrate sensors into autonomous vehicles Create solutions that enhance the performance and reliability of sensor systems Work closely with engineers from other teams to maintain seamless sensor operations Requirements Significant experience in software development, particularly with sensor systems Proven ability to design and implement complex technical solutions Strong collaboration skills and a commitment to advancing autonomous vehicle technology

Join our dynamic team at LinkedIn Corporation as a Senior Staff Software Engineer specializing in Systems Infrastructure. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust infrastructure systems that support our growing platform. You will collaborate with cross-functional teams to drive innovation and optimize our systems for scalability and performance.

Waymo is a pioneering company in 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 and save countless lives lost in traffic accidents. Our technology powers a fully autonomous ride-hail service and can be adapted 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 of simulation miles across 15+ U.S. states, we are at the forefront of this transformative journey.The Simulation ML Infrastructure team is focused on creating scalable AI/ML infrastructure that accelerates the Simulator team in developing state-of-the-art realistic simulations for testing and training the Waymo Driver. To enhance the realism and steerability of these simulations, we leverage large foundation models trained on vast datasets to accurately represent the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), road systems, traffic control measures, and environmental conditions.We are looking for a seasoned senior individual contributor to spearhead the advancement of sophisticated AI/ML infrastructure for multi-billion parameter foundation models within ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and large-scale distributed systems will be essential in designing and scaling our systems.This position reports to an Engineering Manager.Your Responsibilities:Join a top-tier, high-performing research engineering team to push the boundaries of ultra-realistic multi-agent simulations using foundation models.Collaborate closely with the Waymo Realism Modeling team located in London and the Waymo Oxford team to utilize large foundation models for enhancing simulation realism.Operate at the intersection of data engineering, model development, and simulations, making architectural decisions. Take ownership of large, complex systems, and ensure that architectures and designs align with both technical and business objectives.Design and scale extensive distributed systems that encompass the entire ML lifecycle, facilitating planet-scale dataset generation, model training, and evaluation.Work cross-functionally to derive performance and system-level requirements for large ML systems. Convert product and business goals into measurable technical deliverables, ensuring alignment of system components.

Moveworks is looking for a Senior Software Engineer focused on Search Infrastructure to help advance the company’s search technology. This position is based in Mountain View. Role overview This role centers on building and improving scalable search systems. The work directly supports better user engagement and satisfaction by making search faster and more effective. Collaboration Expect to work closely with colleagues from different teams. Joint efforts will shape the design and implementation of new search features and infrastructure improvements. Key responsibilities Design and implement scalable search solutions Enhance existing search capabilities Work with cross-functional teams to deliver improvements

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.