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Torc Robotics Logo

Applied ML Engineer, I - GPU Optimization

Torc Robotics

$132,400 - $158,900
Jun 10, 2025
Ann Arbor, MI, US
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The company is looking to optimize advanced deep learning models used by their virtual driver software to enhance AI performance in autonomous trucks.

Requirements

  • Proficiency with C++14, and the ability to write robust, efficient, and clean code
  • Experience with CUDA programming and parallelization of algorithms
  • Experience writing TensorRT plugins
  • Comfortable using collaborative development tools such as Git and Jira
  • Autonomy or robotics experience
  • Safety critical system development
  • Experience with deep learning frameworks such as PyTorch or TensorFlow

Responsibilities

  • Work on the cutting edge of autonomy, optimizing deep learning models for execution on embedded NVIDIA GPUs
  • Develop custom CUDA kernels and TensorRT plugins for perception and planning algorithms
  • Collaborate with domain experts across the autonomy stack, influencing development, and helping deploy models to truck
  • Identify and work to reduce system performance bottlenecks
  • Develop and optimize deep learning models for autonomous truck software
  • Collaborate with the hardware acceleration team to optimize AI performance
  • Deploy and test models on truck hardware

Other

  • Relevant bachelor's degree with 3+ years of professional experience, or advanced degree
  • Strong written and verbal technical communication skills
  • Positive, team player mindset