Software QA Engineer, Dojo

As a Software QA Engineer for the Dojo team at Tesla, you will play a crucial role in enabling Tesla's neural networks to train efficiently on upcoming in-house custom-silicon supercomputer systems. You'll join a small team of experienced developers to automate the compilation of PyTorch-derived neural network graphs into programs that run on Tesla's custom massively parallel Dojo accelerators.

Your responsibilities will include:

• Developing Python libraries to run, monitor, measure, and troubleshoot deep learning workflows on Dojo
• Writing tests to ensure correctness at every level of the Dojo stack
• Ensuring neural networks function correctly on Dojo with high performance
• Creating benchmarking and reporting tools
• Supporting in-house users by triaging errors and performance bottlenecks
• Anticipating and solving potential issues before users encounter them

The ideal candidate is an initiative-taking, proactive engineer who can ensure high software quality and seamless user experience for the Dojo platform. You'll spend about 50% of your time programming in Python, with the remaining time focused on debugging, experimenting, and investigating.

To excel in this role, you should have:

• A degree in Engineering, Computer Science, or equivalent experience
• Strong proficiency in Python and comfort with C++
• Extensive familiarity with Linux administration and internals

Join Tesla's AI & Robotics team in Palo Alto, California, and be part of the cutting-edge development in custom AI hardware and software integration.