Motional

We're making driverless vehicles a safe, reliable, and accessible reality.

Senior Machine Learning Integration Engineer

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 1,001-5,000Since 2020H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

94 days ago

Salary

$142K - $225K / year

Bachelor DegreeEnglishPythonPy TorchTensorflow

Job Description

• 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, analyzing results and driving iterative improvements. • Maintain production-quality code in C++ and Python

Job Requirements

  • BS/MS/PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Experience deploying ML systems in real-world robotics, embedded, or autonomous platforms.
  • Experience with reinforcement learning.
  • 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.

Benefits

  • Medical
  • Dental
  • Vision
  • 401k with company match
  • Health saving accounts
  • Life insurance
  • Pet insurance

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