Machine Learning Engineer - Deployment

Kodiak Robotics, Inc.

Mountain View, CA, US
Competitive compensation pyckage including equity ...
**
Deploy onboard machine learning models
Quantization and pruning techniques
Convert models to onnx/tensorrt
** Kodiak Robotics, Inc. is seeking a Machine Learning Engineer focused on model deployment to enhance its autonomous trucking technology. The ideal candidate will possess strong background in machine learning and software engineering, specifically in deployment environments, and will collaborate with cross-functional teams to improve the performance of the Kodiak Driver. **

Job Summary

  • Kodiak Robotics is seeking a Machine Learning Engineer to design and deploy AI systems that power their autonomous trucking technology stack.
  • The role involves optimizing model performance through quantization, pruning, and conversion to formats like ONNX and TensorRT for onboard deployment.
  • Candidates will benefit from competitive compensation including equity, comprehensive medical plans, flexible PTO, and office perks like free EV charging.

Matching Summary

Match Score: 75

** Kodiak Robotics, Inc. is seeking a Machine Learning Engineer focused on model deployment to enhance its autonomous trucking technology. The ideal candidate will possess strong background in machine learning and software engineering, specifically in deployment environments, and will collaborate with cross-functional teams to improve the performance of the Kodiak Driver. **

Salary

Competitive compensation package including equity and annual bonuses; Medical, Dental, Vision plans provided; Flexible PTO and parental leave policies

Skills & Requirements

Must-have

  • Deploy onboard machine learning models
  • Quantization and pruning techniques
  • Convert models to ONNX/TensorRT
  • Python and C++ proficiency
  • PyTorch or TensorFlow frameworks
  • Large-scale distributed training systems

Nice-to-have

  • Custom GPU kernel development
  • HIL validation experience
  • Real-world driving log analysis
  • Cross-functional collaboration skills
  • Profiling tool usage for bottlenecks

Key Requirements

  • MS or PhD in Computer Science, Robotics, or related field
  • Strong software engineering fundamentals in testing and debugging
  • Solid understanding of optimization and ML fundamentals

Work Rights

Not specified

Tailored Resume

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