Principal Machine Learning Integration Engineer

1 hour, 45 minutes ago
Full-time
Senior
Software Development
Motional

Motional

Motional is a leading company in driverless technology and autonomous vehicles, leveraging decades of industry expertise to develop and deploy safe and reliable autonomous vehicles. With a powerful DNA combining Aptiv's automotive technology and Hyunda...

Automotive
1K-5K
Founded 2020
$20M raised

Description

  • Deploy ML-based motion planning and control models onto vehicle platforms while meeting resource constraints.
  • Optimize models for inference speed, latency, memory footprint, accuracy, and safety.
  • Collaborate with motion planning, controls, perception, and software engineering teams to integrate ML components into the autonomous driving stack.
  • Build deployment infrastructure, including evaluation pipelines, model packaging, benchmarking, and automated validation.
  • Validate model performance in simulation and on-road testing and drive iterative improvements from results.
  • Maintain production-quality code in C++ and Python.
  • Ensure models run reliably in production under strict performance and safety constraints.

Requirements

  • BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 5+ years of professional experience deploying ML systems in real-world robotics, embedded, or autonomous platforms.
  • Experience with reinforcement learning.
  • Strong software engineering skills in C++ and Python.
  • Knowledge of modern development practices, including code reviews, testing, and CI/CD.
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Experience with model optimization for deployment.
  • Familiarity with GPU acceleration or inference optimization tools such as TensorRT or CUDA.
  • Strong problem-solving skills and ability to debug complex systems under production constraints.
  • Preferred experience with autonomous vehicle motion planning, control algorithms such as MPC, LQR, or PID, or reinforcement learning–based methods.
  • Preferred publications in relevant ML or robotics conferences such as ICRA, NeurIPS, CoRL, or RSS.
  • Preferred experience with ROS, AUTOSAR, or other real-time robotics frameworks.
  • Preferred knowledge of numerical optimization and its applications in trajectory generation.

Benefits

  • Base salary range of $212,000 to $283,900 USD.
  • Additional compensation may include a bonus or company equity.
  • Medical, dental, and vision coverage.
  • 401(k) with company match.
  • Health savings accounts.
  • Life insurance.
  • Pet insurance.
  • People-first, collaborative, and mission-driven work environment.

Interested in this position?

Apply directly on the company website

Apply Now

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