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    <job>
      <externalid>01794f13-11a</externalid>
      <Title>TPU Kernel Engineer</Title>
      <Description><![CDATA[<p>As a TPU Kernel Engineer at Anthropic, you&#39;ll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance.</p>
<p>Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. They should have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators, and be results-oriented with a bias towards flexibility and impact.</p>
<p>Responsibilities:</p>
<ul>
<li>Identify and address performance issues across multiple ML systems</li>
<li>Design and optimize kernels for the TPU</li>
<li>Provide feedback to researchers on model changes and their impact on performance</li>
</ul>
<p>Requirements:</p>
<ul>
<li>Bachelor&#39;s degree or equivalent combination of education, training, and/or experience</li>
<li>Relevant field of study</li>
<li>Years of experience required will correlate with the internal job level requirements for the position</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Competitive compensation and benefits</li>
<li>Optional equity donation matching</li>
<li>Generous vacation and parental leave</li>
<li>Flexible working hours</li>
<li>Lovely office space in which to collaborate with colleagues</li>
</ul>
<p>Note: This job description is a rewritten version of the original ad, focusing on the key responsibilities, requirements, and benefits.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$280,000-$850,000 USD</Salaryrange>
      <Skills>ML systems optimization, TPU kernel design and optimization, Large-scale systems problem-solving, Low-level optimization, Results-oriented approach, High-performance computing, Machine learning framework internals, Language modeling with transformers, Accelerator architecture, Collective communication algorithms</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic creates reliable, interpretable, and steerable AI systems. It is a public benefit corporation headquartered in San Francisco.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/4720576008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Seattle, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
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