Senior Technical Program Manager - AI Platform Performance & Reliability
Leads cross-functional AI platform reliability and verification programs supporting driverless readiness. The role requires 5+ years in technical program management, systems engineering, or software development, plus experience coordinating complex robotics, automotive, or autonomous-systems initiatives.
About the job
Responsibilities
- Own reliability metrics that gate driverless readiness and drive them to target.
- Serve as the primary interface across AI Platform, Systems, Hardware, and Vehicle Operations, establishing the operating cadence for reliability work.
- Build and maintain execution plans; track progress, risks, and metrics using Jira, Confluence, and custom dashboards.
- Drive issue triage and burndown through resolution, ensuring ownership and accountability across teams.
- Translate field failure patterns into engineering and tooling priorities for the platform.
- Partner with engineering to prioritize testing and validation capacity around high-risk failure modes.
- Identify verification and validation gaps and improve development workflows.
- Partner with Operations to improve troubleshooting and intervention workflows and reduce time to recovery.
- Provide program updates, decision documents, and risk assessments to leadership.
- Shorten the cycle from field failure to validated fleet fix.
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.
- Experience leading cross-functional programs spanning software, hardware, autonomy, or systems engineering.
- Strong understanding of system verification and validation and testing frameworks.
- Ability to manage complex dependencies, drive alignment, and communicate with technical and leadership audiences.
- Proficiency with Jira and Confluence.
Nice-to-Haves
- Experience with autonomous systems, vehicle platforms, or robotics simulation environments.
- Familiarity with test harnesses, synthetic data generation, regression testing, and scenario replay tools.
- Technical depth in Python, C++, or data tooling pipelines sufficient to engage engineers on design trade-offs.
- Experience with driverless readiness, safety case validation, or end-to-end system testing.
- Strong organizational and interpersonal skills in fast-paced execution environments.
Compensation
- Base pay range: $160,360–$240,540.
- Eligible for an annual performance bonus, equity, and competitive benefits.
Skills
Technical Program Management, Systems Engineering, System Verification, System Validation, Testing Frameworks, Jira, Confluence, Python, C++, Synthetic Data Generation, Regression Testing, Scenario Replay, Robotics Simulation
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