Ml Runtime Optimization Engineer

Applied Intuition

Sunnyvale, California, United States
Base: $159,053 - $199,295 usd annually; equity: op...
On-site
Deep experience in optimizing ml models
Deploying models on embedded runtime environments
Profiling model performance on embedded platforms
Applied Intuition is seeking a Machine Learning Runtime Optimization Engineer to enhance ML model performance for embedded systems. The ideal candidate will have experience in optimizing ML models, strong software development skills, and a solid understanding of embedded programming

Job Summary

  • Applied Intuition is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet.
  • The role involves driving ML performance optimization across multiple technologies for on-road and off-road ADAS / AD stacks.
  • Compensation includes base salary ranging from $159,053 to $199,295 USD annually, plus equity and comprehensive benefits.

Matching Summary

Match Score: 85

Applied Intuition is seeking a Machine Learning Runtime Optimization Engineer to enhance ML model performance for embedded systems. The ideal candidate will have experience in optimizing ML models, strong software development skills, and a solid understanding of embedded programming.

Salary

Base: $159,053 - $199,295 USD annually; Equity: Options and/or restricted stock units included; Benefits: Comprehensive health, dental, vision, life, disability, 401k match, stipends, PTO

Skills & Requirements

Must-have

  • Deep experience in optimizing ML models
  • Deploying models on embedded runtime environments
  • Profiling model performance on embedded platforms
  • Experience with PyTorch JAX ONNX TensorRT CUDA XLA Triton
  • 3+ years experience with ML accelerators GPU CPU SoC

Nice-to-have

  • Built an ML optimization framework from scratch
  • M.Sc or PhD in a ML related area
  • Deployed ML solutions to embedded chips for real time robotics
  • Experience with memory constrained platforms

Key Requirements

  • Bachelors in Electrical Engineering or Computer Science
  • 3+ years of experience with ML accelerators and GPU architecture
  • Strong software development skills with focus on embedded programming

Work Rights

Not specified

Tailored Resume

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