Staff Technical Program Manager, Embodied AI

Job Title Staff Technical Program Manager, Embodied AI Company General Motors (GM) Role Summary 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. You operate at the intersection of AI research, engineering execution, and product delivery, translating complex, ML‑heavy development efforts into disciplined, predictable execution that results in production‑quality systems used in real vehicles, at scale. Key Responsibilities Own end-to-end model development execution across the full Embodied AI model lifecycle: research transition, model training, evaluation, system integration, validation, and production release. Drive milestone readiness across model training cycles, performance gates, SC3 program milestones, and feature maturity reviews. Partner with AI/ML, Evaluation, and Product leads to define clear success criteria, performance metrics, and evaluation frameworks aligning technical progress to product outcomes. Deliver clear, concise, and executive‑ready communication on program status, risks, dependencies, and decisions to senior GM leadership. Build and scale execution processes for EAI design, implement, and operate execution mechanisms that enable faster, more predictable delivery, including planning cadences, KPI‑driven reporting, training pipelines, release workflows, issue escalation, dependency management, and risk mitigation. 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. Owner of operating mechanisms, milestones, and execution frameworks that accelerate Embodied AI development while ensuring models land with required quality, reliability, and efficiency across multiple platforms. Key Initiatives Drive execution of model training, evaluation, and performance improvement initiatives for AV and ADAS features, partnering across ML, data, evaluation, and platform teams. Lead end‑to‑end programs for fallback capabilities, ensuring robust primary, secondary, tertiary detection and behavioral features supporting safe operation. Own delivery of ML platforms and training systems that improve developer velocity across the full model lifecycle. Coordinate localization, sensor alignment, and calibration programs critical to high‑quality sensor data ingestion and downstream ML performance. Required Qualifications 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. Exceptional communication skills with ability to translate complex technical execution into clear, executive‑level narratives around progress, risks, and decisions. Preferred Qualifications 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. Compensation Salary range: $159,400 – $245,000. Bonus potential: incentive pay program based on company performance, job level, and individual performance. Benefits GM offers a range of health and wellbeing benefit programs, including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance programs, employee assistance program, and GM vehicle discounts. Company Vehicle Upon completing a motor vehicle report review, you may participate in a company vehicle evaluation program, where you will be assigned a General Motors vehicle to drive and evaluate. Participants are required to purchase or lease a qualifying GM vehicle every four years, unless an exception applies. Location & Relocation Hybrid role: candidate must report to a specific location at least 3 times a week (or as directed). This job is not eligible for relocation benefits. Any relocation costs are the responsibility of the selected candidate. Immigration Sponsorship GM does not provide immigration‑related sponsorship for this role. Do not apply if you will need GM sponsorship now or in the future. Equal Employment Opportunity Statement General Motors is committed to a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. #J-18808-Ljbffr General Motors