Principal Machine Learning Engineer
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
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.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Number of Employees
5,001-10,000 employees
