Software Engineer, ML Efficiency
仕事内容
Enable the team to develop large-scale end-to-end autonomous driving models with high hardware efficiency, reliable training and inference, and good developer experience.
Participate in model design from a hardware-efficiency perspective.
Collaborate with cross-functional teams to build and improve infra and tooling.
Optimize system performance across parallelism, buffering/prefetching, pipelining, and asynchronicity.
Work with ML frameworks (PyTorch, JAX, TensorFlow) and accelerators to ensure efficient training and inference.
Focus on reliability, scalability, and maintainability through robust design and testing.
Participate in model design from a hardware-efficiency perspective.
Collaborate with cross-functional teams to build and improve infra and tooling.
Optimize system performance across parallelism, buffering/prefetching, pipelining, and asynchronicity.
Work with ML frameworks (PyTorch, JAX, TensorFlow) and accelerators to ensure efficient training and inference.
Focus on reliability, scalability, and maintainability through robust design and testing.
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