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Software QA Engineer, Dojo

2 months ago

Palo Alto, United States Tesla Full time
What to Expect

As a member of the Dojo team, you will be responsible for enabling Tesla’s neural networks to train efficiently on our upcoming in-house custom-silicon supercomputer systems.  Join a small team of experienced developers in automating the compilation of PyTorch-derived neural network graphs into programs that run on Tesla’s custom massively parallel Dojo accelerators.  The ideal candidate is an initiative-taking, proactive engineer to ensure Dojo software quality is high and user experience is seamless.

What You’ll Do
  • Developing Python libraries to run, monitor, measure, and troubleshoot deep learning workflows running on Dojo
  • The role will be programming approximately 50% of the time in Python. The remaining time will be spent debugging, experimenting, and investigating
  • Writing tests to guarantee correctness at every level of the Dojo stack, from high-level pytorch integration, through every stage of the ML compiler stack, down to our custom hardware
  • Ensuring that neural networks of interest to our users function correctly on Dojo at the expected high performance 
  • Writing tools to run, monitor, measure, and troubleshoot deep learning workflows running on Dojo
  • Writing bench-marking and reporting tools
  • Supporting in-house users; triaging errors and performance bottlenecks, driving issues to root cause, providing workarounds and fixes
  • Anticipating likely use cases; solving problems before our users hit them
What You’ll Bring
  • Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability in related fields with practical software engineering experience
  • Strong proficiency with Python and comfortable with C++
  • Highly familiar with Linux administration and internals