General Motors

Staff Technical Program Manager, AI Infrastructure

General Motors • $159K — $245K *
Sunnyvale, CA 94087Hybrid
Enterprise Technology
8 - 10 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 10+ years of technical program management experience, leading complex, multidisciplinary programs.
  • 5+ years in ML Operations, infrastructure, or AI platform engineering.
  • BS or MS in Engineering, Computer Science, or a related technical field.
  • Experience in large-scale machine learning training and AI infrastructure.
  • Proven capability in managing cross-functional programs with evolving requirements.
  • Strong analytical skills to improve system performance and identify bottlenecks.
  • Exceptional communication and stakeholder management abilities.

Responsibilities

  • Lead strategic planning and execution for AI ML Infrastructure programs.
  • Collaborate with cross-functional teams to enhance AI development performance.
  • Translate MLOps needs into actionable execution plans with defined metrics.
  • Identify and manage risks effectively to protect training timelines.
  • Ensure long-term scalability and performance of AI ML operations.
  • Define and report on KPIs for ML platform performance and delivery velocity.

Benefits

  • Opportunity to work at the forefront of autonomous driving technology.
  • Collaboration with diverse teams across AI, engineering, and product domains.
  • Role offers substantial influence over the ML infrastructure direction and strategy.
  • Chance to drive measurable improvements in ML training and model development processes.
Full Job Description
Job Description

Staff Technical Program Manager, AI Infrastructure

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 General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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