Motional

Principal Machine Learning Integration Engineer

Motional

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $168,000 - $283,900 per year

Job Level

Lead

Tech Stack

PythonPyTorchTensorflow

About the role

  • Deploy ML-based motion planning and control models onto vehicle platforms, ensuring performance under resource constraints
  • Optimize models for inference speed, latency, and memory footprint without sacrificing accuracy or safety
  • Collaborate with motion planning, controls, and perception teams to integrate ML components into the end-to-end autonomous driving stack
  • Build scalable deployment infrastructure including evaluation pipelines, model packaging, benchmarking, and automated validation
  • Validate model performance in both simulation and on-road testing, analyze results and drive iterative improvements
  • Maintain production-quality code in C++ and Python
  • Ensure models run reliably in production under strict performance and safety constraints

Requirements

  • BS/MS/PhD in Robotics, Computer Science, Electrical Engineering, or a related field
  • 4+ years of professional experience deploying ML systems in real-world robotics, embedded, or autonomous platforms
  • Strong software engineering skills in C++ and Python, with knowledge of modern development practices (code reviews, testing, CI/CD)
  • Hands-on experience with ML frameworks (PyTorch, TensorFlow) and model optimization for deployment
  • Familiarity with GPU acceleration, or inference optimization (e.g., TensorRT, CUDA)
  • Strong problem-solving skills and ability to debug complex systems under production constraints
  • Experience with autonomous vehicle motion planning, control algorithms (MPC, LQR, PID), or reinforcement learning–based methods (preferred)
  • Publications in relevant ML or robotics conferences (ICRA, NeurIPS, CoRL, RSS) (preferred)
  • Experience with ROS, AUTOSAR, or other real-time robotics frameworks (preferred)
  • Knowledge of numerical optimization and its applications in trajectory generation (preferred)
  • Must be eligible to work in the U.S.; new hires are verified through E-Verify