Senior Ml Accelerator Engineer - Gpu

General Motors

Multiple Locations
Base: $128,700 to $261,300; bonus/equity: incentiv...
Hybrid
Cuda programming
Gpu architecture understanding
Parallel programming patterns
The AI Kernels & Compilers team turns cutting-edge perception, prediction, and planning research into production-grade software that can run efficiently and reliably on real vehicles at scale

Job Summary

  • The AI Kernels & Compilers team turns cutting-edge perception, prediction, and planning research into production-grade software that can run efficiently and reliably on real vehicles at scale.
  • 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.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and paid vacation & holidays.

Matching Summary

The AI Kernels & Compilers team turns cutting-edge perception, prediction, and planning research into production-grade software that can run efficiently and reliably on real vehicles at scale.

Salary

Base: $128,700 to $261,300; Bonus/Equity: Incentive pay program; Benefits: Health and wellbeing benefit programs

Skills & Requirements

Must-have

  • CUDA programming
  • GPU architecture understanding
  • parallel programming patterns
  • benchmarking and profiling
  • C++ programming skills
  • system performance optimization

Nice-to-have

  • tensor core programming
  • transformer-based ML models
  • low latency systems experience
  • accelerator software stack knowledge

Key Requirements

  • 3+ years relevant industry experience
  • BS, MS or PhD in CS or related field
  • Must be authorized to work in the US

Work Rights

Not specified

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