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ML Systems Engineer, ML Acceleration

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ML Systems Engineer, ML Acceleration in Others new

  • Motional
  • Full time
  • Email
  • Singapore, Singapore

Responsibilities

  • Profile and optimize data loading, gradient computation, and communication using tools such as Nsight and PyTorch Profiler.
  • Implement performance improvements including kernel fusion, sharding, and tiling to reduce model-training step time.
  • Optimize distributed training pipelines using PyTorch Distributed.
  • Design and maintain high-performance GPU kernels in Triton or CUDA.
  • Build and 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 data-driven approach to technical challenges.

Motional

Motional is an autonomous vehicle technology company on a mission to make driverless vehicles a safe, reliable, and accessible reality. The company formed in 2020 and is majority-owned by Hyundai Motor Group, one of the world’s largest vehicle manufacturers. Motional has extensive experience in c...

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