This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.
The Role:
We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the infrastructure that powers large-scale training and cloud inference. This includes accelerating training throughput, scaling multi-modal models, and enabling the next generation of AI-driven driving systems. We're tackling challenges across distributed training, training efficiency, DDP/FSDP, data processing pipelines, and Pytorch model optimization. This is a highly impactful position where your technical leadership will define how we scale AI to achieve autonomy.
What You’ll Do:
-
Architect, build, and optimize core AI/ML platform infrastructure to support massive-scale model training.
-
Collaborate with data scientists, ML engineers, and software developers to enable seamless workflows from research to production.
-
Drive efficiency in large-scale distributed training and data processing pipelines.
-
Establish best practices for reliability, scalability, and performance across the AI/ML platform.
-
Provide technical leadership and mentorship, guiding teams on platform design, architecture decisions, and emerging technologies.
-
Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives.
Your Skills & Abilities (Required Qualifications):
-
Bachelor’s degree or higher in Computer Science, related field, or equivalent experience.
-
8+ years of professional software engineering experience.
-
4+ years of specialized experience in AI/ML domain (e.g., enabling distributed training for large-scale models).
-
Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred) or TensorFlow.
-
Experience with distributed systems, GPU computing, and cloud environments (AWS, GCP, or Azure).
-
Comfortable operating in highly ambiguous and dynamic environments.
-
Willingness to travel to Sunnyvale, CA as needed.
What Will Give You a Competitive Edge (Preferred Qualifications):
-
Proven track record of self-motivation, execution, and delivering impact.
-
Deep expertise with PyTorch 2.x+ and distributed training frameworks.
-
Strong skills in profiling, analysis, debugging, and optimizing training performance (e.g., avoiding memory fragmentation, operation fusion).
-
Proficiency in C++ for performance-critical components.
-
Experience leading cross-functional projects and aligning diverse stakeholders on priorities.
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 compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
-
The salary range for this role is $296,300 to $453,200. 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.
Benefits:
-
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.
