Deep Learning Systems Developer

3 weeks ago


Palo Alto, California, United States Tesla Full time

We are looking for a talented Deep Learning Systems Developer to join our team at Tesla. As a key member of our team, you will be responsible for developing and implementing cutting-edge deep learning systems that drive innovation in AI and ML.

Responsibilities
  • Develop and implement deep learning systems that drive innovation in AI and ML.
  • Collaborate with world-class ML Researchers and Engineers to develop and optimize our neural network training infrastructure.
  • 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.
Salary and Benefits

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



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