Senior Technical Program Manager - AI Platform Performance & Reliability

Nuro•Mountain View, CA

About The Position

Nuro is seeking a Technical Program Manager (TPM) to lead cross-functional alignment and execution for AI Platform programs. This role is crucial for delivering scalable and reliable verification & validation (V&V) tools that ensure systems readiness for driverless deployment. The TPM will manage the entire lifecycle of systems tooling initiatives, from defining requirements and priorities to coordinating integrations and ensuring test infrastructure meets evolving needs.

Requirements

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, and 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.

Responsibilities

Own and drive reliability metrics to meet targets for driverless readiness.
Act as the primary liaison between AI Platform, Systems, Hardware, and Vehicle Ops teams, managing the operational cadence for reliability work.
Develop and maintain detailed execution plans, tracking progress, risks, and metrics using internal tools.
Drive issue triage and resolution, ensuring clear ownership and accountability.
Translate field failure patterns into engineering and tooling priorities.
Collaborate with engineering to focus test and validation efforts on high-risk failure modes.
Identify testing and validation gaps and enhance development workflows.
Partner with Ops to improve troubleshooting and intervention workflows, reducing time-to-recovery.
Maintain execution plans and provide program updates, decision documents, and risk assessments to leadership.
Shorten the feedback loop from field failure to validated fix on the fleet.