Senior Senior Technical Program Manager, Driverless Readiness & AI Platform Reliability

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.
• 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).
• 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.

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