<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>a9140262-780</externalid>
      <Title>Data Center Electrical Engineer</Title>
      <Description><![CDATA[<p>Job Title: Data Center Electrical Engineer</p>
<p>Location: Remote-Friendly, United States</p>
<p>About Anthropic</p>
<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.</p>
<p>About the Role</p>
<p>Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic&#39;s Data Center team is responsible for delivering that physical infrastructure , partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry.</p>
<p>As a Data Center Electrical Engineer, you&#39;ll own the electrical design of our facilities from the building service entrance through to the rack. You&#39;ll develop and maintain the reference designs and specifications our build partners work against, review their engineering submittals, and run the analysis needed to make confident decisions on topology, redundancy, and equipment selection. You&#39;ll ensure the electrical architecture keeps pace with rapidly increasing rack densities and the unique load characteristics of large-scale ML training.</p>
<p>Responsibilities</p>
<ul>
<li>Develop and maintain Anthropic&#39;s electrical basis of design, reference architectures, and technical specifications for critical power distribution , covering switchgear, UPS systems, PDUs, busway, and rack power delivery</li>
</ul>
<ul>
<li>Review and approve electrical design packages from build partners and MEP consultants, ensuring designs meet capacity, reliability, and maintainability requirements</li>
</ul>
<ul>
<li>Perform and validate engineering studies including short-circuit, coordination, arc flash, load flow, and power quality analysis; use findings to steer design decisions and equipment selection</li>
</ul>
<ul>
<li>Partner with external engineering and manufacturing teams to evaluate DC construction efficiency opportunities, develop productization roadmap and modular product strategy to enable accelerated DC acceleration and onsite labor reduction.</li>
</ul>
<ul>
<li>Evaluate and qualify electrical equipment vendors and product lines; work with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk</li>
</ul>
<ul>
<li>Drive standardization of electrical designs across sites to accelerate deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations</li>
</ul>
<ul>
<li>Influence industry specifications and engage with equipment manufacturers on roadmap requirements for high-density, ML-optimized electrical infrastructure</li>
</ul>
<ul>
<li>Provide technical oversight during construction and commissioning phases, resolving field engineering issues and reviewing test results against design intent</li>
</ul>
<p>You May Be a Good Fit If You</p>
<ul>
<li>Have 8+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design</li>
</ul>
<ul>
<li>Hold a degree in Electrical Engineering or a closely related field; PE licensure is valued but not required</li>
</ul>
<ul>
<li>Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, as well as development of prefabricated products and modularization towards offsite manufacturing</li>
</ul>
<ul>
<li>Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower</li>
</ul>
<ul>
<li>Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets</li>
</ul>
<ul>
<li>Have worked directly with electrical equipment manufacturers and can evaluate products on technical merit, not just datasheet claims</li>
</ul>
<ul>
<li>Communicate clearly with both technical peers and non-specialist stakeholders, and can defend a design position when challenged</li>
</ul>
<ul>
<li>Are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it</li>
</ul>
<p>Strong Candidates May Also Have</p>
<ul>
<li>Experience building modular prefabricated products in electrical or mechanical areas of the datacenter</li>
</ul>
<ul>
<li>Background in medium-voltage distribution, on-site generation, or energy storage integration</li>
</ul>
<ul>
<li>Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution</li>
</ul>
<ul>
<li>Familiarity with NFPA 70/70E, IEEE color book series, and relevant international electrical codes for multi-region deployments</li>
</ul>
<ul>
<li>Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients</li>
</ul>
<ul>
<li>Experience driving reference designs or standards adopted across multiple sites or by external partners</li>
</ul>
<p>Logistics</p>
<ul>
<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>
</ul>
<ul>
<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>
</ul>
<ul>
<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>
</ul>
<ul>
<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>
</ul>
<ul>
<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>
</ul>
<p>We Encourage You to Apply Even If You Do Not Believe You Meet Every Single Qualification. Not All Strong Candidates Will Meet Every Single Qualification As Listed. Research Shows That People Who Identify As Being From Underrepresented Groups Are More Prone To Experiencing Imposter Syndrome And Doubting The Strength Of Their Candidacy, So We Urge You Not To Exclude Yourself Prematurely And To Submit An Application If You&#39;re Interested In This Work. We Think AI Systems Like The Ones We&#39;re Building Have Enormous Social And Ethical Implications. We Think This Makes Representation Even More Important, And We Strive To Include A Range Of Diverse Perspectives On Our Team.</p>
<p>Your Safety Matters To Us. To Protect Yourself From Potential Scams, Remember That Anthropic Recruiters Only Contact You From @anthropic.com Email Addresses. In Some Cases, We May Partner With Vetted Recruiting Agencies Who Will Identify Themselves As Working On Behalf Of Anthropic. Be Cautious Of Emails From Other Domains. Legitimate Anthropic Recruiters Will Never Ask For Money, Fees, Or Banking Information Before Your First Day. If You&#39;re Ever Unsure About A Communication, Don&#39;t Click Any Links,Visit Anthropic.com/Careers Directly For Confirmed Position Openings.</p>
<p>How We&#39;re Different</p>
<p>We Believe That The Highest-Impact AI Research Will Be Big Science. At Anthropic We Work As A Single Cohesive Team On Just A Few Key Projects, Focusing On Developing Groundbreaking AI Systems That Can Help Solve Some Of Humanity&#39;s Most Pressing Challenges.</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>remote</Workarrangement>
      <Salaryrange>$320,000-$405,000 USD</Salaryrange>
      <Skills>Electrical engineering, Mission-critical facilities, Data center design, Power systems analysis, SKM, ETAP, EasyPower, Critical power topologies, 2N, N+1, Distributed redundant, Block redundant</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic develops artificial intelligence systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5187486008</Applyto>
      <Location>Remote-Friendly, United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>f77be5b8-7b6</externalid>
      <Title>Finance Expert - Risk</Title>
      <Description><![CDATA[<p>As a Finance Risk Expert at xAI, you will play a crucial role in advancing our cutting-edge AI systems by providing high-quality annotations, expert evaluations, and detailed risk reasoning using specialized labeling tools.</p>
<p>You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing &amp; scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).</p>
<p>This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI&#39;s mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.</p>
<p>Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.</p>
<p>Responsibilities:</p>
<ul>
<li>Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects</li>
<li>Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards</li>
<li>Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks</li>
<li>Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools</li>
<li>Select and solve challenging problems from financial risk domains where you have deep expertise</li>
</ul>
<p>Basic Qualifications:</p>
<ul>
<li>Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant</li>
<li>Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)</li>
<li>Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&amp;P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)</li>
<li>Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data</li>
</ul>
<p>Preferred Skills and Experience:</p>
<ul>
<li>Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm</li>
<li>Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance</li>
<li>Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)</li>
<li>Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)</li>
<li>Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)</li>
<li>Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)</li>
<li>CFA, FRM, PRM, CQF, or similar risk-focused certifications</li>
<li>Previous exposure to large language models, AI safety, or quantitative evaluation pipelines</li>
</ul>
<p>Location and Other Expectations:</p>
<ul>
<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit</li>
<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required</li>
<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs</li>
<li>For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time</li>
<li>We are unable to provide visa sponsorship</li>
<li>For those who will be working from a personal device, your computer must meet xAI’s minimum hardware requirements</li>
</ul>
<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|part-time|contract|temporary|internship</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science, Python, R, Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, machine learning, Bloomberg, Refinitiv, Moody’s Analytics, S&amp;P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm, Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance, Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training), Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.), Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.), Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II), CFA, FRM, PRM, CQF, or similar risk-focused certifications, Previous exposure to large language models, AI safety, or quantitative evaluation pipelines</Skills>
      <Category>Finance</Category>
      <Industry>Technology</Industry>
      <Employername>xAI</Employername>
      <Employerlogo>https://logos.yubhub.co/xai.com.png</Employerlogo>
      <Employerdescription>xAI is a technology company focused on developing artificial intelligence systems. It has a small team of highly motivated engineers.</Employerdescription>
      <Employerwebsite>https://www.xai.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/xai/jobs/5040365007</Applyto>
      <Location>Remote</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>a3e4b7f0-624</externalid>
      <Title>Data Center Electrical Engineer</Title>
      <Description><![CDATA[<p>Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. As a Data Center Electrical Engineer, you&#39;ll own the electrical design of our facilities from the building service entrance through to the rack. You&#39;ll develop and maintain the reference designs and specifications our build partners work against, review their engineering submittals, and run the analysis needed to make confident decisions on topology, redundancy, and equipment selection.</p>
<p>This is a highly cross-functional role. You&#39;ll work closely with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify equipment vendors and create optionality in a constrained market. Strong candidates will bring deep mission-critical electrical design experience and the judgment to make sound trade-offs when the standard playbook doesn&#39;t apply.</p>
<p>Responsibilities:</p>
<ul>
<li>Develop and maintain Anthropic&#39;s electrical basis of design, reference architectures, and technical specifications for critical power distribution , covering switchgear, UPS systems, PDUs, busway, and rack power delivery</li>
<li>Review and approve electrical design packages from build partners and MEP consultants, ensuring designs meet capacity, reliability, and maintainability requirements</li>
<li>Perform and validate engineering studies including short-circuit, coordination, arc flash, load flow, and power quality analysis; use findings to steer design decisions and equipment selection</li>
<li>Partner with external engineering and manufacturing teams to evaluate DC construction efficiency opportunities, develop productization roadmap and modular product strategy to enable accelerated DC acceleration and onsite labor reduction</li>
<li>Evaluate and qualify electrical equipment vendors and product lines; work with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk</li>
<li>Drive standardization of electrical designs across sites to accelerate deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations</li>
<li>Influence industry specifications and engage with equipment manufacturers on roadmap requirements for high-density, ML-optimized electrical infrastructure</li>
<li>Provide technical oversight during construction and commissioning phases, resolving field engineering issues and reviewing test results against design intent</li>
</ul>
<p>You may be a good fit if you:</p>
<ul>
<li>Have 8+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design</li>
<li>Hold a degree in Electrical Engineering or a closely related field; PE licensure is valued but not required</li>
<li>Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, as well as development of prefabricated products and modularization towards offsite manufacturing</li>
<li>Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower</li>
<li>Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets</li>
<li>Have worked directly with electrical equipment manufacturers and can evaluate products on technical merit, not just datasheet claims</li>
<li>Communicate clearly with both technical peers and non-specialist stakeholders, and can defend a design position when challenged</li>
<li>Are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it</li>
</ul>
<p>Strong candidates may also have:</p>
<ul>
<li>Experience building modular prefabricated products in electrical or mechanical areas of the datacenter</li>
<li>Background in medium-voltage distribution, on-site generation, or energy storage integration</li>
<li>Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution</li>
<li>Familiarity with NFPA 70/70E, IEEE color book series, and relevant international electrical codes for multi-region deployments</li>
<li>Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients</li>
<li>Experience driving reference designs or standards adopted across multiple sites or by external partners</li>
</ul>
<p>The annual compensation range for this role is $320,000-$405,000 USD.</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>remote-hybrid</Workarrangement>
      <Salaryrange>$320,000-$405,000 USD</Salaryrange>
      <Skills>Electrical engineering, Mission-critical facilities, Data center design, Power systems analysis, SKM, ETAP, or EasyPower, Critical power topologies, Electrical equipment manufacturers, Modular prefabricated products, Medium-voltage distribution, On-site generation, Energy storage integration, Liquid-cooled infrastructure, NFPA 70/70E, IEEE color book series</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a company that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5187486008</Applyto>
      <Location>Remote-Friendly, United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>d65b3d3f-a10</externalid>
      <Title>Electrical Engineer (EIT)</Title>
      <Description><![CDATA[<p>As an Electrical Engineer in Training (EIT) at xAI, you&#39;ll support the design, evaluation, and upkeep of electrical systems powering our cutting-edge facilities.</p>
<p>Working onsite with seasoned engineers and multidisciplinary teams, you&#39;ll tackle challenges to ensure BV power distribution and backup systems are reliable, safe, and scalable.</p>
<p>Responsibilities include participating in design meetings, conducting feasibility studies, supporting the design and construction process, ensuring compliance with industry standards and safety regulations, and contributing to troubleshooting power issues.</p>
<p>You&#39;ll also assist in managing maintenance schedules, analyzing and forecasting power needs, implementing strategies for energy efficiency and cost reduction, and promoting a safe working environment.</p>
<p>As an EIT, you&#39;ll work closely with senior engineers and team members, seeking guidance and contributing to team efforts.</p>
<p>This is a challenging role that requires strong technical skills, excellent communication skills, and a willingness to learn and adapt to new situations.</p>
<p>If you&#39;re interested in project management and supporting large-scale data center projects, this could be the ideal opportunity for you.</p>
<p>At xAI, we operate with a flat organisational structure, and all employees are expected to be hands-on and contribute directly to the company&#39;s mission.</p>
<p>Leadership is given to those who show initiative and consistently deliver excellence.</p>
<p>Work ethic and strong prioritisation skills are important, and all employees are expected to have strong communication skills.</p>
<p>They should be able to concisely and accurately share knowledge with their teammates.</p>
<p>Basic qualifications include a Bachelor&#39;s Degree in Electrical Engineering or a related field, Engineer in Training (EIT) certification, and 2-4 years of relevant experience in data center operations or electrical engineering.</p>
<p>You should have basic knowledge of data center electrical systems, including transformers, switchgear, generators, and UPS systems.</p>
<p>Proficiency with tools like AutoCAD, Revit, Bluebeam, and SKM is also required.</p>
<p>Interest in project management and supporting large-scale data center projects is a plus.</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>entry</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>AutoCAD, Revit, Bluebeam, SKM, data center electrical systems, transformers, switchgear, generators, UPS systems</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.</Employerdescription>
      <Employerwebsite>https://www.xai.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/xai/jobs/4753835007</Applyto>
      <Location>Memphis, TN</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>ab80b377-8d1</externalid>
      <Title>Electrical Engineer</Title>
      <Description><![CDATA[<p>As an Electrical Engineer at xAI, you&#39;ll lead the design, evaluation, and optimisation of the electrical systems powering our cutting-edge facilities.</p>
<p>Collaborating onsite with multidisciplinary teams, you&#39;ll drive solutions to ensure our power distribution and backup systems are reliable, safe, and scalable.</p>
<p>Dive into complex technical challenges, mentor junior staff, and deliver innovations that support mission-critical operations, advancing xAI&#39;s goal of accelerating human scientific discovery through AI.</p>
<p>Responsibilities:</p>
<ul>
<li>Lead design meetings for electrical systems in new data center builds and expansions, providing expert input from an electrical engineering perspective.</li>
</ul>
<ul>
<li>Conduct feasibility studies and develop detailed specifications for system components.</li>
</ul>
<ul>
<li>Oversee the design and construction process, including permitting, collaborating with licensed engineers and stakeholders.</li>
</ul>
<ul>
<li>Manage the installation of power distribution units (PDUs), UPS systems, cooling units, and other critical infrastructure.</li>
</ul>
<ul>
<li>Ensure full compliance with industry standards (e.g., Uptime Institute Tier Standards), safety regulations, and company policies.</li>
</ul>
<ul>
<li>Develop and manage maintenance schedules to ensure electrical systems operate at peak efficiency.</li>
</ul>
<ul>
<li>Lead troubleshooting of power issues, minimising downtime and enhancing system reliability.</li>
</ul>
<ul>
<li>Perform in-depth analysis and forecasting of power needs based on current and projected IT loads.</li>
</ul>
<ul>
<li>Implement strategies for energy efficiency, cost reduction, and sustainability.</li>
</ul>
<ul>
<li>Collaborate with senior engineers and cross-functional teams, providing guidance and driving collective efforts.</li>
</ul>
<ul>
<li>Champion a culture of continuous improvement, innovation, and knowledge sharing within the team.</li>
</ul>
<ul>
<li>Lead project management for infrastructure initiatives, from conception through commissioning.</li>
</ul>
<ul>
<li>Coordinate with external vendors, contractors, and internal departments to deliver projects on time and within budget.</li>
</ul>
<ul>
<li>Verify all work complies with local, state, and federal regulations concerning electrical systems.</li>
</ul>
<ul>
<li>Foster a safe working environment by enforcing and promoting safety protocols.</li>
</ul>
<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>data center electrical systems, transformers, switchgear, generators, UPS systems, AutoCAD, Revit, Bluebeam, SKM, power system analysis software, project management</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&apos;s pursuit of knowledge.</Employerdescription>
      <Employerwebsite>https://www.xai.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/xai/jobs/4977264007</Applyto>
      <Location>Memphis, TN</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>