Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations
General Motors · Austin, TX, US
18 days agoImpress employers and recruiters.
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About the Role
Join the Embodied AI team at General Motors to develop and deploy machine learning solutions for autonomous vehicles. You will drive the development of core systems for rapid dataset generation, training, evaluation, and iteration of advanced Autonomous Driving models, aiming to accelerate the machine learning development cycle.
Responsibilities
- Lead the design, implementation, and deployment of scalable platforms and tools for machine learning model training and evaluation workflows.
- Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs.
- Contribute to team planning, design reviews, and code quality.
- Take a holistic view of projects, considering their impact across multiple teams and timelines.
- Proactively drive technical prioritization and collaborate with partner teams.
- Help shape the team through technical interviewing and recruiting.
- Mentor and onboard junior engineers and interns.
Requirements
- 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems.
- Proven track record of designing robust frameworks with high-quality, durable APIs.
- Deep understanding of machine learning algorithms with hands-on application.
- Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.
- End-to-end experience across the ML development lifecycle, including MLOps practices.
- Strong cross-functional collaboration skills across teams and organizations.
- Exceptional coding skills in Python or C++.
- Strong interest in autonomous driving and its transformative potential.
- BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.
- Experience with distributed training methodologies.
- Experience scaling ML training across large GPU/CPU clusters or other accelerators.
- Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Experience with performance profiling and state-of-the-art training optimization techniques.
- Experience with advanced build systems (e.g., Bazel, Buck, Blaze, CMake).
- Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- 5+ years of professional experience.
Skills
- Python
- C++
- MLOps
- Distributed training
- Deep learning frameworks
- Performance profiling
- Training optimization
- Advanced build systems
- Containerization
- Orchestration technologies
Location
- Remote
- Hybrid
Work Type
- Fully remote
- Hybrid
Experience Level
- 5+ years
Education Level
- BS in Computer Science, Mathematics, or equivalent practical experience
- MS in Computer Science, Mathematics, or equivalent practical experience
- PhD in Computer Science, Mathematics, or equivalent practical experience
Salary/Compensations
- $171,700.00 - $335,300.00
Benefits
- 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
- Relocation benefits
- Company vehicle evaluation program
About the Company
- 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.
- We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture.
- Every day, we want every employee to feel they belong to one General Motors team.
Equal Opportunity
- General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
- We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
- All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
- General Motors offers opportunities to all job seekers including individuals with disabilities.