Tesla Work From Home (Remote) Positions - VacancyGlobal

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!