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Tesla Work From Home (Remote) Positions

Remote · USA Full-time New today

As a member of the Dojo group, you may be chargeable for permitting Tesla?s neural networks to educate effectively on our upcoming in-residence custom-silicon supercomputer systems. Join a small group of skilled builders in automating the compilation of PyTorch-derived neural community graphs into applications that run on Tesla?s custom vastly parallel Dojo accelerators. The perfect candidate is an initiative-taking, proactive engineer to make certain the Dojo software program excellent is excessive and the personal experience is seamless. <strong>What You?ll Do</strong> <ul> <li>Developing Python libraries to run, monitor, measure, and troubleshoot deep mastering workflows strolling on Dojo.</li> <li>The position may be programming about 50% of the time in Python. The last time may be spent debugging, experimenting, and investigating.</li> <li>Writing checks to assure correctness at each stage of the Dojo stack, from excessive-stage pytorch integration, thru each degree of the ML compiler stack, right all the way down to our custom hardware.</li> <li>Ensuring that neural networks of hobby to our customers characteristic efficaciously on Dojo on the anticipated excessive overall performance.</li> <li>Writing gear to run, monitor, measure, and troubleshoot deep mastering workflows strolling on Dojo.</li> <li>Writing bench-marking and reporting gear.</li> <li>Supporting in-residence customers; triaging mistakes and overall performance bottlenecks, using problems to root cause, and supplying workarounds and fixes.</li> <li>Anticipating probable use cases; fixing issues earlier than our customers hit them.</li> </ul> <strong>What You?ll Bring</strong> <ul> <li>BS in Computer Science, Physics, Computer Engineering, or Electrical Engineering, evidence of exquisite competencies in associated fields with sensible software program engineering experience, or equivalent</li> <li>Strong proficiency with Python and snug with C++</li> <li>Highly acquainted with Linux management and internals</li> </ul> <strong>Nice to Have:</strong> <ul> <li>Deep-mastering frameworks (PyTorch)</li> </ul> Apply Job!

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