Senior Technical Program Manager - AI Platform Performance & Reliability

Nuro•Mountain View, CA

2d•$160,360 - $240,540

About The Position

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

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, 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 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.