Role description
Senior Technical Program Manager (Driverless Readiness & AI Platform Reliability)
Nuro- 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
Benefits
Free Caltrain pass and commuter benefits
Company stock options
Work from home opportunities
Health insurance
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
Proficiency with agile program tools (e.g., Jira) and technical documentation platforms (e.g., Confluence)
Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field
Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences
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)
Excellent organizational and interpersonal skills, able to balance fast-paced execution with structured process discipline
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