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As a key member of our IT team, you will play a crucial role in ensuring that our systems are reliable, secure, and scalable. 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. 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We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_736969e6-3f9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/18a60850-cf8b-4374-a214-ef78b9712deb","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$342K – $555K","x-skills-required":["server hardware","systems architecture","data center infrastructure","hyperscale compute platforms","modern CPU architectures","server platform design","memory systems","PCIe/CXL fabrics","NUMA behavior","platform-level performance constraints","storage systems","NVMe","SSD qualification","RAID","distributed storage","object/file systems","high-performance data pipelines","hardware tradeoffs","performance","cost","power","thermals","supply availability","GPU clusters","AI training/inference infrastructure","OEMs","ODMs","silicon vendors","storage vendors","strong systems thinking","component decisions","fleet-level outcomes","excellent communication skills","influence engineering and executive stakeholders","fast-moving","ambiguous environments","high ownership"],"x-skills-preferred":["infrastructure for large-scale AI or HPC environments","CPU vendor roadmaps across AMD, Intel, and ARM ecosystems","distributed storage architectures supporting GPU clusters","fleet operations","hardware lifecycle management","production deployments at scale","hyperscale cloud","AI infrastructure","advanced compute environments"],"datePosted":"2026-04-24T12:21:17.145Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"server hardware, systems architecture, data center infrastructure, hyperscale compute platforms, modern CPU architectures, server platform design, memory systems, PCIe/CXL fabrics, NUMA behavior, platform-level performance constraints, storage systems, NVMe, SSD qualification, RAID, distributed storage, object/file systems, high-performance data pipelines, hardware tradeoffs, performance, cost, power, thermals, supply availability, GPU clusters, AI training/inference infrastructure, OEMs, ODMs, silicon vendors, storage vendors, strong systems thinking, component decisions, fleet-level outcomes, excellent communication skills, influence engineering and executive stakeholders, fast-moving, ambiguous environments, high ownership, infrastructure for large-scale AI or HPC environments, CPU vendor roadmaps across AMD, Intel, and ARM ecosystems, distributed storage architectures supporting GPU clusters, fleet operations, hardware lifecycle management, production deployments at scale, hyperscale cloud, AI infrastructure, advanced compute environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":342000,"maxValue":555000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_84d3d443-d98"},"title":"Serviceberater (intern)","description":"<p>Here&#39;s your chance at Porsche. 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