Senior Ml Accelerator Engineer - Gpu

GM

Base: $128,700 to $261,300; bonus/equity: not spec...
Not specified (assumed hybrid due to nature of role).
Cuda programming expertise
Gpu performance optimization
Collaborative team environment
GM is seeking a Senior ML Accelerator Engineer specializing in GPU technologies to enhance their autonomous and assisted driving systems. The role involves designing and optimizing CUDA-based kernels for on-vehicle machine learning workloads, contributing to GM's mission of achieving safer and more sustainable mobility

Job Summary

  • GM's vision focuses on Zero Crashes, Zero Emissions, and Zero Congestion in autonomous driving.
  • The AI Kernels team develops high-performance GPU kernels for on-vehicle ML inference.
  • Employees enjoy a variety of health and wellbeing benefit programs, including medical and retirement savings plans.

Matching Summary

Match Score: 85

GM is seeking a Senior ML Accelerator Engineer specializing in GPU technologies to enhance their autonomous and assisted driving systems. The role involves designing and optimizing CUDA-based kernels for on-vehicle machine learning workloads, contributing to GM's mission of achieving safer and more sustainable mobility.

Salary

Base: $128,700 to $261,300; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • CUDA programming expertise
  • GPU performance optimization
  • collaborative team environment

Nice-to-have

  • experience with tensor core programming
  • knowledge of ML model architectures
  • background in real-time systems

Key Requirements

  • Minimum 3 years of relevant experience
  • BS, MS or PhD in CS or related field
  • strong C++ programming skills

Work Rights

Not specified

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