Machine Learning Systems Engineer

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. They are seeking a Machine Learning Systems Engineer to join their ML Acceleration team, focusing on optimizing core systems for training large-scale models efficiently. The role involves performance profiling, distributed training optimization, kernel development, and data pipeline engineering.

Responsibilities:

• 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, alongside a 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 to technical challenges