AI Training Accelerator Engineer

5 days ago


Palo Alto, California, United States Tesla Full time

Tesla is seeking an experienced Machine Learning Infrastructure Specialist to join our team. As a key member of our team, you will be responsible for optimizing and scaling our neural network training infrastructure. This is an exciting opportunity to collaborate with world-class ML Researchers and Engineers and contribute to the development of cutting-edge AI technologies.

Job Description

You will work with machine learning Researchers and Engineers to run FSD models on our in-house ML training accelerator, profile performance of training workloads in our cluster, identify bottlenecks in and between CPU/Dojo code execution, and work on optimizing its throughput and scalability within and across nodes to ultimately reduce convergence time.

Requirements
  • Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability.
  • Practical experience programming in Python and/or C++.
  • Experience working with training frameworks, ideally PyTorch.
  • Proficient in system-level software, in particular hardware-software interactions and resource utilization.
  • Understanding of modern machine learning concepts and state-of-the-art deep learning.
  • Profiling and optimizing CPU-accelerator interactions (pipelining compute/transfers, etc.).
  • Devops experience, in particular dealing with clusters of training nodes, and filesystems for very large amounts of training data.
Benefits

Tesla offers a comprehensive benefits package, including medical, dental, and vision plans, 401(k) with employer match, Employee Stock Purchase Plans, and more. The estimated annual salary range for this position is $120,000 - $318,000, plus cash and stock awards.



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