> Markdown version of [/jobs/ext/3955363-senior-senior-technical-program-manager-driverless-readiness-ai-platform-reliability](https://www.wearedevelopers.com/jobs/ext/3955363-senior-senior-technical-program-manager-driverless-readiness-ai-platform-reliability). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

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

- **Company:** Nuro Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $160,360.0
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Confluence, JIRA, C++ (Programming Language), Python (Programming Language), Regression Testing, Software Engineering, Verification and Validation (Software), System Testing, AI Platforms, Information Technology, Data Generation
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/f6a7acba-b9a4-4216-81d9-0c3bb11f9744/senior-senior-technical-program-manager-driverless-readiness-ai-platform-reliability

## About the Role

* 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).

Bonus Points

 * 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.

## Description

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.

About the Work

 * 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.