Nuro

Lead technical program execution for systems V&V tooling, ensuring milestones, dependencies, and deliverables are met for driverless readiness. | Bachelor's in Computer Science, Electrical Engineering, Robotics or related, with 5+ years in technical program management or systems engineering in robotics or automotive domains, with strong understanding of system verification, testing frameworks, and simulation infrastructure. | Who We Are Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today. Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven. About the Role We’re looking for a Technical Program Manager (TPM) to drive cross-functional alignment and execution for Systems Tooling programs at Nuro. This role sits at the intersection of Systems Engineering, Platform, Simulation, Data Science and Autonomy teams - focused on delivering scalable and reliable verification & validation (V&V) tools that enable systems readiness for driverless deployment. You’ll own the end-to-end lifecycle of systems tooling initiatives: defining requirements, managing priorities, coordinating integration with simulation and autonomy stacks, and ensuring test and validation infrastructure meets the evolving needs of driverless programs. You’ll play a key role in ensuring Nuro’s driverless systems meet the highest standards of reliability and safety by empowering engineers with world-class tooling and validation infrastructure that bridges autonomy innovation and on-road deployment. About the Work Lead technical program execution for systems V&V tooling, ensuring milestones, dependencies, and deliverables are met toward driverless readiness. Serve as the primary interface between AI Platform, Simulation, Systems, and Autonomy teams to ensure consistent tooling integration and data pipelines. Translate high-level systems verification needs into concrete tooling requirements across perception, planning, control, and safety validation workflows. Build and maintain detailed execution plans; track progress, risks, and metrics using internal tools (e.g., Asana, Confluence, custom dashboards). Partner with systems and simulation engineers to evolve infrastructure supporting model validation, synthetic data, test orchestration, and automation at scale. Drive validation tool readiness reviews and ensure the V&V tooling stack meets regulatory and internal safety certification standards for driverless operations. Provide regular program updates, decision docs, and risk assessments to technical and leadership stakeholders. Identify bottlenecks in tooling workflows and implement improvements to accelerate system validation cycles. About You Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field. 5+ years of experience in technical program management, systems engineering, or software development in robotics, automotive, or related technology domains. Proven experience leading cross-functional programs involving multiple engineering disciplines (software, hardware, autonomy, or systems). Strong understanding of system verification and validation, testing frameworks, or simulation infrastructure. Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences. Proficiency with agile program tools (e.g., Jira, Asana) and technical documentation platforms (e.g., Confluence). Bonus Points Experience with autonomous systems, vehicle platforms, or robotics simulation environments. Familiarity with data and tooling stacks supporting system V&V (e.g., test harnesses, synthetic data generation, regression testing, scenario replay tools). Technical depth in Python, C++, or data tooling pipelines sufficient to engage engineers on design trade-offs. Prior experience in driverless readiness, safety case validation, or end-to-end system testing. Excellent organizational and interpersonal skills, able to balance fast-paced execution with structured process discipline. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Drive cross-functional program execution for systems verification and validation tooling at Nuro. | Experience in technical program management, systems engineering, or software development in robotics or automotive domains, with understanding of system V&V and simulation infrastructure. | Who We Are Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today. Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven. About the Role We’re looking for a Technical Program Manager (TPM) to drive cross-functional alignment and execution for Systems Tooling programs at Nuro. This role sits at the intersection of Systems Engineering, Platform, Simulation, Data Science and Autonomy teams - focused on delivering scalable and reliable verification & validation (V&V) tools that enable systems readiness for driverless deployment. You’ll own the end-to-end lifecycle of systems tooling initiatives: defining requirements, managing priorities, coordinating integration with simulation and autonomy stacks, and ensuring test and validation infrastructure meets the evolving needs of driverless programs. You’ll play a key role in ensuring Nuro’s driverless systems meet the highest standards of reliability and safety by empowering engineers with world-class tooling and validation infrastructure that bridges autonomy innovation and on-road deployment. About the Work Lead technical program execution for systems V&V tooling, ensuring milestones, dependencies, and deliverables are met toward driverless readiness. Serve as the primary interface between AI Platform, Simulation, Systems, and Autonomy teams to ensure consistent tooling integration and data pipelines. Translate high-level systems verification needs into concrete tooling requirements across perception, planning, control, and safety validation workflows. Build and maintain detailed execution plans; track progress, risks, and metrics using internal tools (e.g., Asana, Confluence, custom dashboards). Partner with systems and simulation engineers to evolve infrastructure supporting model validation, synthetic data, test orchestration, and automation at scale. Drive validation tool readiness reviews and ensure the V&V tooling stack meets regulatory and internal safety certification standards for driverless operations. Provide regular program updates, decision docs, and risk assessments to technical and leadership stakeholders. Identify bottlenecks in tooling workflows and implement improvements to accelerate system validation cycles. About You Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field. 5+ years of experience in technical program management, systems engineering, or software development in robotics, automotive, or related technology domains. Proven experience leading cross-functional programs involving multiple engineering disciplines (software, hardware, autonomy, or systems). Strong understanding of system verification and validation, testing frameworks, or simulation infrastructure. Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences. Proficiency with agile program tools (e.g., Jira, Asana) and technical documentation platforms (e.g., Confluence). Bonus Points Experience with autonomous systems, vehicle platforms, or robotics simulation environments. Familiarity with data and tooling stacks supporting system V&V (e.g., test harnesses, synthetic data generation, regression testing, scenario replay tools). Technical depth in Python, C++, or data tooling pipelines sufficient to engage engineers on design trade-offs. Prior experience in driverless readiness, safety case validation, or end-to-end system testing. Excellent organizational and interpersonal skills, able to balance fast-paced execution with structured process discipline. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Lead the ML Training Infrastructure team to build scalable distributed training platforms, optimize training performance, and mentor engineers. | 6+ years in ML infrastructure or systems engineering, expertise in PyTorch, experience with distributed training and performance optimization, strong collaboration skills. | Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future. About the Role Nuro is seeking an experienced Technical Lead to work on our ML Training stack. You will lead the work to optimize distributed training, job scheduling, model component libraries, and improve upon our performance analysis tools. In this role you will enable models to train faster and more efficiently – accelerating our self-driving roadmap of commercial and personal mobility. About the Work As TL for Nuro's ML Training Infrastructure, you will help define and execute the ML Framework roadmap, and drive initiatives in distributed training and efficiency optimizations to scale deep learning models. This will include: • Help define the ML framework roadmap for the Training Infrastructure team. • Build and maintain a scalable, distributed training platform with an emphasis on efficiency, determinism, and reproducibility for large-scale training jobs. • Detect, diagnose, and resolve performance bottlenecks across training workflows, including input data pipelines and distributed training loops. • Optimize scheduling, training performance, resource utilization, and ensure consistent, reproducible model training outcomes. • Mentor and grow a high-performing team, fostering technical excellence and collaboration. • Drive improvements in software quality that measurably raise reliability, efficiency, reproducibility, and determinism. About You • 6+ years of professional or research experience in ML infrastructure, distributed training, or ML systems engineering. • Experience driving complex technical initiatives with stakeholder engagement. • Expertise in PyTorch; familiarity with TensorFlow, and experience optimizing training performance (e.g., host offloading, quantization, reduced-precision training). • Strong collaboration and communication skills, with a passion for exploring and promoting new approaches and technology. Bonus Points • Hands-on experience with CUDA, Triton, XLA, TPUs. • Familiarity with ML compilers, ONNX, and intermediate representations. • Experience with containerization (Docker), orchestration (Kubernetes), and ML pipeline tools (Airflow). • Practical experience with JAX. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $222,775 and $333,925 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP