Senior Technical Program Manager (Driverless Readiness & AI Platform Reliability)

Join Nuro as a Senior Technical Program Manager, where you'll drive cross-functional alignment and execution for AI Platform programs. You'll own the end-to-end lifecycle of systems tooling initiatives, manage reliability metrics, and serve as the primary interface across various teams. This role requires a strong background in technical program management, systems engineering, or software development in robotics or automotive.

USD 160,360 - 240,540

Responsibilities

• Drive cross-functional alignment and execution for AI Platform programs, focusing on delivering scalable and reliable verification & validation tools.
• Own the end-to-end lifecycle of systems tooling initiatives, from defining requirements to coordinating integration with simulation and autonomy stacks.
• Serve as the primary interface across AI Platform, Systems, Hardware, and Vehicle Ops, running the operating cadence that keeps reliability work aligned and moving.

Requirements

• 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