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About the Role
The AI Kernels team builds high-performance GPU kernels and custom libraries that are central to our on-vehicle ML inference for ADAS and autonomous driving. We are responsible for making core AI workloads faster, more reliable, and easier to maintain and deploy on real cars, under real-world constraints. This involves designing and implementing custom operators, integrating kernels into our ML runtime stack, and debugging and tuning GPU performance across the AV software stack.
Responsibilities
- Design, implement, benchmark, and iterate on CUDA-based kernels and custom operators to optimize on-vehicle inference workloads.
- Build and improve tooling and infrastructure for profiling, debugging, and validating CUDA kernels and accelerator-backend code.
- Partner with AI Solutions, Compilers, and Architecture to translate model and system requirements into kernel roadmaps and project plans.
- Collaborate with cross-functional teams to deliver reusable, reliable, high-performance libraries into production.
- Maintain high technology standards for GPU kernel development and performance engineering through code review.
- Manage relationships with internal customers to ensure kernels and libraries meet real-world needs.
Requirements
- Minimum 2+ years of relevant industry experience or equivalent.
- BS, MS or PhD in CS, or related technical field.
- Excellent GPU programming skills in CUDA, with a thorough understanding of parallel programming patterns and GPU architecture.
- Hands-on experience benchmarking, profiling, debugging and optimizing accelerator libraries and kernels using the NSight suite of tools or similar.
- Strong background in software architecture, library design, and design patterns.
- Strong C++ programming skills with ability to work in large codebases.
- Solid background in system performance, high performance computing and/or architecture-aware optimizations.
- Strong communication skills and ability to work collaboratively.
- Excellent analytical and problem-solving skills.
Skills
- CUDA
- Parallel programming
- GPU architecture
- Benchmarking
- Profiling
- Debugging
- Optimization
- NSight
- Software architecture
- Library design
- Design patterns
- C++
- System performance
- High performance computing
- Architecture-aware optimizations
- Communication
- Analytical skills
- Problem-solving
- Tensor core programming
- CUTLASS
- CuTe
- ML model architectures
- Transformer-based models
- Low latency systems
- Real-time systems
- Accelerator software stack (drivers, runtimes, compilers)
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- 2+ years of relevant industry experience or equivalent
Education Level
- BS, MS or PhD in CS, or related technical field
Salary/Compensations
- $170,100 to $258,300
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
About the Company
- GM's vision is Zero Crashes, Zero Emissions, and Zero Congestion.
- We are building advanced automated driving technologies, including Level 4-capable fully self-driving systems.
- Our mission is to create safer, more sustainable, and more accessible mobility.
- We are committed to being a workplace that fosters inclusion and belonging.
- We believe in making a choice every day to drive meaningful change through our words, deeds, and culture.
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.
- 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.