Ml Engineer, I - Acceleration Team

Torc Robotics

Ann Arbor, MI, United States
Base: $132,400—$158,900 usd; bonus/equity: corpora...
On-site
C++ and cuda code for ai inference
Optimize c++ and cuda code
Neural networks and machine learning
The mission of the Acceleration Team is to deploy trained Machine Learning Models on embedded hardware

Job Summary

  • The mission of the Acceleration Team is to deploy trained Machine Learning Models on embedded hardware.
  • Develop modern C++ and CUDA code for AI inference, including data processing algorithms and custom neural network layers.
  • Deliver high-quality, unit-tested, production code suitable for deployment in embedded, safety-critical environments.

Matching Summary

The mission of the Acceleration Team is to deploy trained Machine Learning Models on embedded hardware.

Salary

Base: $132,400—$158,900 USD; Bonus/Equity: corporate bonus and stock option plan; Benefits: full range of medical, financial, and/or other benefits

Skills & Requirements

Must-have

  • C++ and CUDA code for AI inference
  • Optimize C++ and CUDA code
  • Neural networks and machine learning
  • Strong math skills including linear algebra

Nice-to-have

  • Deep learning frameworks like PyTorch or TensorFlow

Key Requirements

  • Bachelor’s degree in Computer, Electrical, or Software engineering, or advanced degree
  • Deep understanding of memory management in C++
  • Understanding of mechanisms of calling C/C++ functions from Python

Work Rights

Not specified

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