Motional
1001 - 5000 employees
Founded 2020
🚗 Transport
🤖 Artificial Intelligence
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.
Machine Learning Systems Engineer
🕒 May 27
🇺🇸 United States – Remote
💵 $144k - $192k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⚙️ Systems Engineer
🦅 H1B Visa Sponsor
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Motional
1001 - 5000 employees
Founded 2020
🚗 Transport
🤖 Artificial Intelligence
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.
📋 Description
• Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. • Implement optimizations like kernel fusion, sharding, and tiling to improve step time. • Optimize distributed training pipelines using frameworks such as PyTorch Distributed. • Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads. • Optimize robust data loading pipelines that maximize training throughput.
🎯 Requirements
• Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline. • Strong proficiency in Python. • Extensive hands-on experience with PyTorch. • Experience optimizing machine learning model execution during training and inference. • Strong understanding of fundamental machine learning concepts, architectures, and processes. • Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach.
🏖️ Benefits
• medical • dental • vision • 401k with a company match • health saving accounts • life insurance • pet insurance • more
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