Senior ML Accelerator Engineer - GPU

General Motors is a leading automotive company focused on advancing autonomous and assisted driving technologies. They are seeking a Senior ML Accelerator Engineer - GPU to design and implement high-performance GPU kernels and custom libraries for on-vehicle machine learning inference, ensuring that AI workloads are efficient and reliable.

Responsibilities:

• Design, implement, benchmark, and iterate on CUDA-based kernels and custom operators to squeeze every last drop of performance out of on-vehicle inference workloads
• Build and improve tooling and infrastructure that make it easier to profile, debug, and validate CUDA kernels and accelerator-backend code across the AV stack
• Partner with AI Solutions, Compilers, and Architecture to translate model and system requirements into concrete kernel roadmaps, priorities, and project plans
• Collaborate with cross-functional teams (compiler, performance tooling, runtime, deployment solutions) to deliver reusable, reliable, high-performance libraries into production
• Maintain high technology standards, methodologies, processes, and guidelines for GPU kernel development and performance engineering through code review
• Manage relationships with internal customers to ensure our kernels and libraries meet real-world needs