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ML Runtime Optimization Engineer

3 weeks, 6 days ago
United States
Full-time
Mid Level
Machine Learning Engineer
Software Development
Deep Learning Embedded Systems Machine Learning PyTorch
Apply Now
Applied Intuition

Applied Intuition

Vehicle software supplier | Applied Intuition Simulation and validation platform for automotive, trucking, construction, and more. Solutions to safely develop, test, and deploy autonomous systems at scale #PoweringAutonomy Industry leading platform tha...

Internet Software & Services
251-1K
Founded 2017
$352M raised
View All Jobs 40

Description

  • Drive ML performance optimization across multiple technologies for on-road and off-road ADAS/AD stacks on embedded compute platforms.
  • Develop compute usage strategies to improve inference efficiency and latency on customer-selected compute boards.
  • Work on model pruning and quantization to support deployment on memory-constrained platforms.
  • Collaborate closely with ML engineers and software developers to optimize model architecture solutions.
  • Set up profiling methodologies for target embedded platforms and identify performance bottlenecks during stack integration.
  • Support deployment of ML models across the full ML framework stack, including PyTorch, JAX, ONNX, TensorRT, CUDA, XLA, and Triton.

Requirements

  • Bachelor’s degree in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field.
  • 3+ years of experience with ML accelerators, GPU, CPU, SoC architecture, and micro-architecture.
  • Strong software development skills with a focus on embedded programming.
  • Experience profiling and optimizing model performance on embedded compute platforms.
  • Experience working with deep learning frameworks such as PyTorch, JAX, and ONNX.
  • M.Sc. or PhD in a machine learning-related area is preferred.
  • Experience building an ML optimization framework from scratch is preferred.
  • Experience deploying ML solutions to embedded chips for real-time robotics applications is preferred.

Benefits

  • Base salary range of $159,053 - $199,295 USD annually.
  • Equity compensation in the form of options and/or restricted stock units.
  • Comprehensive health, dental, vision, life, and disability insurance coverage.
  • 401(k) retirement benefits with employer match.
  • Learning and wellness stipends.
  • Paid time off.

Interested in this position?

Apply directly on the company website

Apply Now

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