Ml Runtime Optimization Engineer

Applied Intuition

Sunnyvale, California, United States
Base: $159,053 - $199,295 usd annually; equity: op...
On-site
3+ years experience with ml accelerators
Deep learning frameworks like pytorch jax
Embedded programming and gpu cpu soc architecture
Applied Intuition is seeking a Machine Learning Runtime Optimization Engineer to focus on optimizing ML models for embedded environments. The role requires expertise in ML frameworks and embedded programming, with a strong emphasis on performance optimization for various compute platforms

Job Summary

  • Applied Intuition is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet.
  • You will drive ML performance optimization on multiple technologies for on-road and off-road ADAS / AD stacks targeting deployment on various embedded compute platforms.
  • Compensation includes base salary, equity, and comprehensive benefits including health, dental, vision, life, disability insurance, and 401k retirement benefits.

Matching Summary

Match Score: 82

Applied Intuition is seeking a Machine Learning Runtime Optimization Engineer to focus on optimizing ML models for embedded environments. The role requires expertise in ML frameworks and embedded programming, with a strong emphasis on performance optimization for various compute platforms.

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, and PTO

Skills & Requirements

Must-have

  • 3+ years experience with ML accelerators
  • Deep learning frameworks like PyTorch JAX
  • Embedded programming and GPU CPU SoC architecture

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 robotics

Key Requirements

  • Bachelors in Electrical Engineering or Computer Science
  • Experience profiling model performance on embedded platforms
  • Strong software development skills focused on embedded programming

Work Rights

Not specified

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