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Datacenter Hardware Operations Technician Lead, Industrial Compute

openai

Remoto Remote - US
Uncategorized

Job Score

90 pts
Remote model (+90)

About the Team

OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads.

The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments.

As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses.

About the Role

We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses.

This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Oracle operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems.

Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments.

The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills.

Candidates must be able to sit onsite in Abilene, Texas 5 days per week

Key Responsibilities

  • Serve as OpenAI’s senior on-site hardware operations lead for server, GPU, storage, and rack-level infrastructure.

  • Drive technical triage and resolution of complex hardware failures impacting production systems.

  • Partner with Fleet Health Engineering to investigate recurring hardware issues, identify failure patterns, and improve fleet reliability.

  • Lead root cause analysis (RCA) efforts for critical hardware incidents and develop corrective and preventive action plans.

  • Collaborate with Oracle operations teams and OEM vendors to coordinate repairs, replacements, upgrades, and hardware lifecycle activities.

  • Establish and continuously improve hardware maintenance procedures, operational runbooks, and troubleshooting standards.

  • Analyze hardware failure trends and operational metrics to identify reliability risks and improvement opportunities.

  • Support new hardware introductions, validation activities, and production readiness reviews.

  • Coordinate spare parts strategy and inventory planning with supply chain and operations teams.

  • Partner with Hardware Engineering, Manufacturing, and Infrastructure teams to provide field feedback that improves future platform designs.

  • Develop scalable operational standards and best practices that can be deployed across future Stargate campuses.

  • Mentor technicians and partner teams on advanced troubleshooting methodologies and hardware operational excellence.

Qualifications

  • 8+ years of experience supporting large-scale datacenter hardware infrastructure, with experience in a senior technician, sustaining engineering, or hardware operations leadership role.

  • Deep expertise with server platforms, GPU systems, storage infrastructure, rack integration, and datacenter hardware architecture.

  • Strong experience diagnosing complex hardware failures and leading repair efforts in production environments.

  • Experience conducting root cause analysis and driving long-term corrective actions.

  • Strong understanding of hardware reliability engineering principles and fleet-health management.

  • Proven ability to partner effectively across engineering, operations, manufacturing, and vendor organizations.

  • Comfortable operating independently in high-priority production environments with significant operational responsibility.

  • Excellent written and verbal communication skills with the ability to influence technical and operational decisions.

  • Experience developing operational processes, maintenance standards, and technical documentation.

  • Ability to travel occasionally to support new campus deployments and operational readiness activities.

Preferred Qualifications

  • Experience supporting large-scale GPU clusters or AI/ML infrastructure environments.

  • Familiarity with fleet health systems, telemetry platforms, and hardware monitoring tools.

  • Experience with failure analysis methodologies such as FRACAS, RCCA, 5-Why, Fishbone, or FMEA.

  • Knowledge of Linux system administration and hardware validation workflows.

  • Experience supporting hyperscale datacenter operations or HPC environments.

  • Familiarity with server manufacturing, rack integration, or NPI-to-sustaining transitions.

  • Industry certifications such as CompTIA Server+, OEM hardware certifications, or equivalent experience.

  • Experience applying Environmental Health and Safety (EHS) practices in mission-critical datacenter environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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. 

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.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

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 Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Guias de Carreira

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SEO, Mídia Paga, Growth, Marketing de Conteúdo. Certificações, ferramentas e estratégias para crescer no Marketing Digital.

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Gestao de Empresas, RH, Logistica, Consultoria, Gestao de Projetos e Empreendedorismo.

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Ciencia de Dados, Engenharia de Dados, BI, Machine Learning e IA. Da formacao ao mercado.

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Dica do Especialista

O Novo Jogo do Marketing Digital em 2026

O mercado de marketing digital em 2026 consolidou uma ruptura definitiva: o conteúdo que apenas informa tornou-se commodity. Se anos atrás a briga era por "produzir em volume para ser visto", o avanço exponencial da Inteligência Artificial Generativa e das regras de privacidade mudou o foco. O marketing digital hoje exige uma abordagem preditiva, altamente técnica e, paradoxalmente, muito mais humana.

Neste cenário maduro, não basta dominar ferramentas de anúncios ou publicar nas redes sociais. A disputa agora acontece nos bastidores tecnológicos: na gestão de dados primários, na integração do marketing com vendas e na capacidade de criar uma marca com autoridade inquestionável.

1. O Fim do "Hacking" e a Ascensão do First-Party Data (Dados Proprietários)

Com regulamentações rígidas de privacidade globais e o fim do suporte a cookies de terceiros pelos principais navegadores, as estratégias baseadas em "perseguir" o usuário pela web perderam força. O novo ativo mais valioso de uma empresa chama-se First-Party Data (dados coletados diretamente do consumidor, com consentimento).

Empresas que passaram os últimos anos construindo bases sólidas de leads e clientes (Inbound Marketing) possuem uma vantagem absurda sobre concorrentes que dependem exclusivamente do tráfego pago (Outbound) e de algoritmos do Google ou da Meta.

Ação Prática: O "Muro de Conteúdo"

Em 2026, marcas estão investindo pesadamente em plataformas próprias, comunidades e conteúdos premium que exigem cadastro (e-mail, preferências de consumo) para acesso, fugindo da dependência das redes sociais de terceiros.

2. IA Integrada, mas "Fadiga do Fake" no Conteúdo

A Inteligência Artificial já é rotina para a esmagadora maioria dos profissionais de marketing. Ferramentas como LLMs (modelos de linguagem grandes) otimizam processos, geram copies básicos, estruturam automações complexas (CRM) e prevêem comportamentos do usuário. No entanto, o uso da IA para Geração de Conteúdo em Massa fracassou.

"O mercado já batizou o movimento de ‘fadiga do fake’: a rejeição crescente a conteúdo genérico, perfeitamente estruturado, mas sem substância, ponto de vista ou experiência real."

Para se destacar em 2026, as marcas precisam comprovar o E-E-A-T (Experiência, Expertise, Autoridade e Confiabilidade). Os motores de busca e de IA (como Perplexity e ChatGPT Search) priorizam respostas que trazem vivência humana e opiniões de especialistas de nicho, penalizando textos robóticos ou puramente informativos.

3. SEO Multimodal e Social SEO

As buscas deixaram de ser exclusivas do Google e do formato de texto. Hoje, o SEO é fragmentado em duas grandes frentes que não podem mais ser ignoradas:

  • Busca Generativa e Multimodal (GEO): Otimização não apenas para links, mas para que a IA resuma a sua marca como "A" resposta para o usuário. Isso envolve dados estruturados perfeitos e otimização para buscas por voz e imagem (Google Lens).
  • Social SEO: O TikTok, Instagram e YouTube se tornaram os buscadores primários para as novas gerações. Em 2026, criar conteúdo otimizado com palavras-chave dentro das próprias redes sociais é tão vital quanto ranquear em motores tradicionais.

4. O Profissional de 2026: Obsessão por Performance e Growth

Para quem busca atuar na área, o mercado esfriou para o "especialista em apertar botões" (o gestor de mídias sociais genérico). As grandes oportunidades estão concentradas na intersecção entre criatividade, vendas e dados. As carreiras mais valorizadas são:

  • Growth Marketers e Especialistas em CRO (Otimização de Conversão): Profissionais focados em encontrar gargalos no funil de vendas, melhorando a experiência do usuário em landing pages e retendo clientes.
  • Analistas de Dados / Power BI no Marketing: Quem consegue comprovar o Retorno sobre Investimento (ROI) de cada real gasto, integrando os dashboards de marketing diretamente às metas do time comercial.
  • Estrategistas de Automação e CRM: O foco mudou do simples "disparo de e-mail" para a automação inteligente preditiva, que personaliza a comunicação no tempo certo, com a mensagem exata.

Conclusão

Em 2026, o marketing digital de sucesso é aquele que automatiza e escala a operação tecnológica através da inteligência artificial e uso inteligente de dados, mas mantém a estratégia, a empatia e a conexão humana como diferenciais insubstituíveis. O marketing não é mais sobre ser visto em todo lugar; é sobre ser relevante no lugar exato.