
Transport • Artificial Intelligence • Automotive
Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.
2 hours ago
🇺🇸 United States – Remote
💵 $142k - $225k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor

Transport • Artificial Intelligence • Automotive
Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.
• 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
• 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.
• Medical • Dental • Vision • 401k with company match • Health saving accounts • Life insurance • Pet insurance
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