Senior Technical Program Manager, Nuro

• 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)

Desirable

• 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
• 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