Job description

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We’re looking for a Technical Program Manager (TPM) to drive cross-functional alignment and execution for AI Platform programs at Nuro. This role sits at the intersection of Systems Engineering, Platform, 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. About the Work Own the reliability metrics that gate driverless readiness and drive them to target. Serve as the primary interface across AI Platform, Systems, Hardware, and Vehicle Ops, running the operating cadence that keeps reliability work aligned and moving. Build and maintain detailed execution plans; track progress, risks, and metrics using internal tools (e.g., JIRA , Confluence, custom dashboards). Drive issue triage and burndown to resolution, ensuring clear ownership and accountability across teams. Translate field failure patterns into engineering and tooling priorities for the platform. Partner with engineering to focus test and validation capacity on the highest-risk failure modes. Identify testing and validation gaps and improve development workflows. Partner with Ops to improve troubleshooting and intervention workflows, reducing time-to-recovery. Maintain execution plans and provide program updates, decision docs, and risk assessments to leadership. Shorten the loop from field failure to validated fix on the fleet. 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. Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences. Proficiency with agile program tools (e.g., Jira) 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

Requirements

Must-haves

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.
Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences.
Proficiency with agile program tools (e.g., Jira) and technical documentation platforms (e.g., Confluence).

Nice-to-haves

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.

Application prep

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Keywords to mirror

aijiraagilepython

Platform: greenhouse
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