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Staff Technical Program Manager – System & Architecture – Data Collection
| Company | General Motors |
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| Location | Mountain View, CA, USA |
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| Salary | $143000 – $258800 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- BS or MS in Engineering, Computer Science, or a related technical field.
- 15+ years of experience, including 10+ years of technical program management experience, with at least 2+ years working on L3 or L4 autonomous systems.
- Proven track record of managing complex cross-functional programs involving hardware, embedded software, and data pipelines.
- Strong systems thinking with ability to connect high-level architecture to on-the-ground execution details.
- Exceptional communication, collaboration, and stakeholder management skills.
- Deep familiarity with Agile program delivery, Jira, Confluence, and technical development workflows.
Responsibilities
- Own the roadmap and execution for data collection vehicles supporting the autonomy software stack.
- Partner cross-functionally with system architects, hardware and software TPMs, perception leads, and operational teams to ensure program alignment.
- Drive vehicle build and bring-up processes to support data collection requirements, including hardware/software integration and instrumentation.
- Define and track KPIs, program metrics, and validation milestones to ensure data quality and timely delivery for ML development.
- Coordinate data workflows: from raw capture, labeling, and ingestion, through iterative perception and system development cycles.
- Proactively identify risks and blockers across hardware, software, and operations—and drive mitigation plans in real time.
- Lead program reviews with technical and executive stakeholders and external partners.
- Ensure field drivers, fleet operations, and infrastructure are aligned to meet daily collection targets and system iteration needs.
- Travel at least 1x per quarter.
Preferred Qualifications
- Experience working on robotaxi or autonomous vehicle programs.
- Background in automotive, aerospace, defense, or other safety-critical, requirements-driven industries.
- Prior experience scaling data collection infrastructure or operational support for perception teams.
- Familiarity with SmartSheets, fleet ops tooling, and large-scale vehicle deployment workflows.
