Staff Technical Program Manager, AI Infrastructure

Job Description

Staff Technical Program Manager, AI Infrastructure

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

We are seeking a Staff Technical Program Manager (TPM) to lead AV ML Infrastructure programs for our autonomous driving platform. In this role, you will own strategy and execution for large-scale ML infrastructure – including training pipelines, model lifecycle management, compute orchestration, and platform reliability – that power next-generation autonomy models. You will operate at the intersection of ML engineering, platform infrastructure, and operations, ensuring our systems are scalable, efficient, and production-ready to support end-to-end model development at scale.

What You’ll Do

• Program Leadership: Own end-to-end delivery of ML infrastructure programs, driving measurable improvements in training throughput, platform reliability, and developer productivity. Establish clear goals, milestones, and success metrics across teams.

• Cross-Functional Alignment: Partner with ML engineers, platform teams, validation, and product to prioritize initiatives, drive tradeoff decisions, and accelerate the AI development lifecycle.

• Technical Roadmapping: Translate complex MLOps challenges – distributed training orchestration, compute scheduling, pipeline scaling – into clear, actionable plans with defined ownership and outcomes.

• Scalability & Reliability: Drive infrastructure evolution to support growing model complexity, dataset scale, and compute demand, with a strong focus on resiliency, observability, and performance.

• Risk & Dependency Management: Identify risks early, manage cross-team dependencies, and implement mitigation strategies to ensure stable, predictable delivery.

• Operational Excellence: Establish best practices for monitoring, incident response, and capacity planning to ensure high system uptime and efficient resource utilization.

• Metrics & Visibility: Define and track KPIs (e.g., system reliability, utilization, training cycle time), delivering clear, executive-ready insights on program health and progress.

Your Skills & Abilities (Required Qualifications)

• 10+ years of technical program management experience leading large, complex, cross-functional initiatives

• 5+ years working in ML infrastructure, MLOps, AI platform engineering, or distributed compute environments

• BS or MS in Engineering, Computer Science, or a related technical field

• Experience delivering large-scale ML infrastructure programs, including compute orchestration, pipeline reliability, and resource management

• Proven ability to lead programs spanning infrastructure, software, and data systems in ambiguous, fast-evolving environments

• Strong analytical skills with the ability to interpret system metrics and drive performance improvements

• Excellent communication and stakeholder management skills, with the ability to influence across technical and non-technical audiences

• Deep familiarity with Agile delivery, JIRA (or similar tools), and technical program reporting frameworks

What will give you a competitive edge (Preferred Qualifications)

• Experience scaling large-scale ML infrastructure, including GPU compute, cluster orchestration (e.g., Kubernetes, Slurm), or cloud platforms (AWS, GCP, Azure)

• Familiarity with ML workflow orchestration and MLOps tooling (e.g., Kubeflow, Airflow)

• Background in SRE, platform engineering, or DevOps practices applied to distributed ML systems

• Experience with observability frameworks, SLO/SLI design, and incident management in production environments

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

• The salary range for this role is $159,400 - $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.