<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>93c935ee-a9f</externalid>
      <Title>Network Engineer - AI/HPC</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>xAI is a technology company that aims to create AI systems to understand the universe and aid humanity in its pursuit of knowledge. We are seeking a Network Engineer - AI/HPC to join our team.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Develop and maintain large-scale networks with expertise in RoCEv2, optimizing performance and availability.</li>
<li>Design and implement metric dashboards to monitor network performance.</li>
<li>Collaborate with the team to design and implement the next iteration of our backend and front-end networks.</li>
<li>Participate in a team on-call rotation and help with scaling and maintenance efforts.</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>Minimum 10 years designing and operating large-scale networks with 5 years in the ethernet AI/HPC space.</li>
<li>Deep understanding of congestion control on ethernet with Infiniband an added bonus.</li>
<li>Expertise in creating a portfolio of metrics for performance and operations to optimize the fleet for training and inference traffic.</li>
<li>Experience with Python to automate away repetitive tasks and facilitate daily job working with and analyzing large sets of data.</li>
</ul>
<p><strong>Compensation and Benefits</strong></p>
<p>$180,000 - $440,000 base salary. Comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</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>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$180,000 - $440,000</Salaryrange>
      <Skills>RoCEv2, Ethernet, Infiniband, NCCL, Python, Large-scale network design and operation</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>xAI</Employername>
      <Employerlogo>https://logos.yubhub.co/xai.com.png</Employerlogo>
      <Employerdescription>xAI is a technology company that aims to create AI systems to understand the universe and aid humanity in its pursuit of knowledge.</Employerdescription>
      <Employerwebsite>https://www.xai.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/xai/jobs/5074185007</Applyto>
      <Location>Palo Alto, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>99450ad6-e3b</externalid>
      <Title>Network Engineer - AI/HPC</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>We are seeking a skilled Network Engineer to join our team at xAI. As a Network Engineer, you will play a critical role in designing and operating large-scale networks for our AI and HPC systems.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Design and operate large-scale networks with a deep understanding of congestion control on ethernet and Infiniband</li>
<li>Develop and optimize network configurations to ensure high performance and availability</li>
<li>Collaborate with the team to design the next iteration of our backend and front-end networks</li>
<li>Travel to Memphis to build capacity and participate in a team on-call rotation</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>Minimum of 10 years designing and operating large-scale networks with 5 years in the ethernet AI/HPC space</li>
<li>Deep understanding of congestion control on ethernet with Infiniband an added bonus</li>
<li>Expertise in creating a portfolio of metrics for performance and operations to optimize the fleet for training and inference traffic</li>
<li>Experience with Python to automate away repetitive tasks and facilitate daily job working with and analyzing large sets of data</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Opportunity to work with a highly motivated team focused on engineering excellence</li>
<li>Collaborative and dynamic work environment</li>
<li>Professional development opportunities</li>
</ul>
<p><strong>What We Offer</strong></p>
<ul>
<li>Competitive salary and benefits package</li>
<li>Opportunity to work on cutting-edge AI and HPC projects</li>
<li>Collaborative and dynamic work environment</li>
</ul>
<p><strong>How to Apply</strong></p>
<p>If you are a motivated and experienced Network Engineer looking for a new challenge, please submit your application, including your resume and cover letter, to [insert contact information].</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>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>RoCEv2, NCCL, Python, Ethernet, Infiniband, AI training and inference workloads</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>xAI</Employername>
      <Employerlogo>https://logos.yubhub.co/xai.com.png</Employerlogo>
      <Employerdescription>xAI creates AI systems to understand the universe and aid humanity in its pursuit of knowledge. The company has a small, highly motivated team focused on engineering excellence.</Employerdescription>
      <Employerwebsite>https://www.xai.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/xai/jobs/4946691007</Applyto>
      <Location>Memphis, TN</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>