- Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
- 5+ years professional software engineering experience.
- 1+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
- Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar
- Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).
- Willingness to travel to Sunnyvale, CA as needed
- Comfortable working in highly ambiguous and dynamic environments
What Will Give You a Competitive Edge (preferred qualifications)
- Self-motivated, strong execution, impact-delivering oriented
- Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework
- Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models
- Experience with profiling, analysis, debugging and optimizing training and data loading performance.
- Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback
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 $170,000 to $240,800. 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.




This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

The selected candidate will be required to travel <25% for this role.

Relocation benefits are available for candidates who qualify under company policy.

 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.