General Motors · 3 weeks ago
Staff Machine Learning Engineer - ML Training Infrastructure
United States
Full-time
Remote
Lead/Staff
$185K/yr - $335K/yr
7+ years expGeneral Motors is seeking an experienced Staff Machine Learning Engineer to lead the development of scalable AI/ML platform infrastructure. The role involves defining technical direction, driving design and development efforts, and collaborating across teams to enhance AI capabilities for intelligent driving technologies.
AutomotiveElectric VehicleInformation TechnologyManufacturingTransportationInformation Services
No H1B
Responsibilities
Define and drive the architecture, design, and development of scalable, reliable, and high-performance ML frameworks and platform capabilities to support model training at scale
Lead model training performance analysis and optimization efforts across distributed training workflows, improving scalability, efficiency, and cost across heterogeneous hardware environments
Raise the bar on system observability, debuggability, operational excellence, and developer experience across the ML training stack
Own large, ambiguous, cross-functional technical initiatives from strategy through execution, including technical roadmap definition, tradeoff analysis, and delivery
Influence platform direction by identifying long-term infrastructure investments, setting engineering standards, and driving adoption of best practices across teams
Collaborate across organizational boundaries to align requirements, resolve technical disagreements, and integrate new capabilities into the platform ecosystem
Mentor engineers through design reviews, technical guidance, and hands-on partnership, while elevating engineering quality across the team
Qualification
Required
Bachelor's degree or higher in Computer Science or a related field, or equivalent practical experience
7+ years of professional software engineering experience
5+ years of specialized experience in AI/ML infrastructure, such as enabling distributed training for large-scale ML models
Strong programming skills in Python, with deep proficiency in frameworks such as PyTorch (preferred), TensorFlow, or similar ML systems
Proven experience designing and operating distributed systems for ML training, including distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure)
Demonstrated track record of leading technically ambiguous, cross-team infrastructure initiatives and driving them to measurable impact
Strong architectural judgment and ability to make sound technical tradeoffs across performance, reliability, usability, and cost
Willingness to travel to Sunnyvale, CA as needed
Comfortable operating in highly ambiguous and dynamic environments
Preferred
7+ years of professional software engineering experience
Deep expertise in PyTorch 2.x+ and distributed training frameworks
Experience designing and developing training platforms that support FSDP, pipeline parallelism, and other scalable solutions for training large foundational models
Experience profiling, analyzing, debugging, and optimizing training and data loading performance at scale
Strong record of technical leadership through architecture reviews, roadmap influence, and cross-team execution
Excellent communication skills, with the ability to build consensus, navigate controversial decisions, communicate risks clearly, and provide constructive technical feedback
Self-motivated, execution-oriented, and motivated by delivering broad organizational impact
Benefits
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Relocation: This job may be eligible for relocation 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.
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.
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
2026-07-17
2026-07-17
TheStreet.com
2026-07-16
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