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Staff Technical Program Manager, Embodied AI

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General Motors

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Location:
United States , Mountain View

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Contract Type:
Not provided

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Salary:

159400.00 - 245000.00 USD / Year

Job Description:

Staff Technical Program Manager, Embodied AI. At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard – from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Role: You will serve as a Staff Technical Program Manager responsible for end-to-end delivery of Embodied AI (EAI) model development programs – from research integration through production deployment on next-generation autonomy platforms. In this role, you operate at the intersection of AI research, engineering execution, and product delivery. You translate complex, ML-heavy development efforts into disciplined, predictable execution that results in production-quality systems used in real vehicles, at scale.

Job Responsibility:

  • Own End-to-End Model Development Execution
  • Build and Scale Execution Processes for EAI
  • Own execution across the full Embodied AI model lifecycle, from research transition and model training through evaluation, system integration, validation, and production release
  • Drive milestone readiness across model training cycles, performance gates, SC3 program milestones, and feature maturity reviews
  • Partner closely with AI/ML, Evaluation, and Product leads to define clear success criteria, performance metrics, and evaluation frameworks that align technical progress to product outcomes
  • Deliver clear, concise, and executive‑ready communication on program status, risks, dependencies, and decisions to senior GM leadership
  • Design, implement, and operate execution mechanisms that enable faster, more predictable Embodied AI delivery
  • Standardize how Embodied AI initiatives are defined, planned, measured, and delivered across teams and programs
  • Ensure engineering teams have the data, tooling, clarity, and operational rigor needed to hit performance targets with speed and consistency, without compromising quality or safety

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, Robotics, or a related technical field, or equivalent practical experience
  • 8+ years of experience in technical program management, engineering program leadership, or closely related roles within software‑ or ML‑intensive environments
  • Proven track record of leading large‑scale AI/ML, autonomy, or complex software system programs from early concept through production deployment
  • Strong working knowledge of modern model development workflows, including data ingestion and curation, model training pipelines, evaluation and metrics, deployment, and iteration
  • Demonstrated ability to operate effectively in highly cross‑functional environments, influencing senior engineering, product, and research leaders to drive execution, resolve tradeoffs, and align priorities
  • Exceptional communication skills, with the ability to translate complex technical execution into clear, executive‑level narratives around progress, risks, and decisions

Nice to have:

  • MS or PhD in Engineering, Computer Science, Robotics, Machine Learning, Applied Mathematics, or a related field
  • Experience working on autonomous driving, ADAS, robotics, or other safety‑critical systems
  • Familiarity with large‑scale ML infrastructure, including distributed training, compute optimization, data scaling, or evaluation tooling
  • Experience defining operating rhythms, KPIs, and execution frameworks for ML‑heavy or research‑driven engineering organizations
What we offer:
  • medical
  • dental
  • vision
  • Health Savings Account
  • Flexible Spending Accounts
  • retirement savings plan
  • sickness and accident benefits
  • life insurance
  • paid vacation & holidays
  • tuition assistance programs
  • employee assistance program
  • GM vehicle discounts
  • company vehicle evaluation program
  • incentive pay program

Additional Information:

Job Posted:
April 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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