OpenAI
AI & Machine LearningDirect Ashby career site

Hardware Operations Engineer

Location
San Francisco, CA (Remote) · On-site
Job type
Full-time
Level
Lead / Staff
Experience
8+ years
Listed
30 days ago

Skills & highlights for this role

  • server platforms
  • GPU systems
  • root cause analysis
  • rack integration

Also useful

  • FRACAS
  • FMEA
  • Linux system administration
  • hardware telemetry tools

About the Role

We are seeking a Hardware Operations Engineer to serve as the 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 Cloud Service Provider 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 at our datacenters 5 days per week.

Key Responsibilities

  • 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 Cloud Service Provider 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 site 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 on-site 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.
  • Ability to identify appropriate data and perform detailed analysis to support all elements of this role, including dashboard development
  • 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, and 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 the Team

OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization 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 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.

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.

Read the original posting

From OpenAI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Hardware Operations Engineer role at OpenAI, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

Where is the Hardware Operations Engineer job at OpenAI located?

Yes, this Hardware Operations Engineer opening at OpenAI is listed as San Francisco, CA (Remote) (On-site). Always check OpenAI's application page for specific state eligibility or relocation policies.

What qualifications are required for Hardware Operations Engineer at OpenAI?

For the Hardware Operations Engineer role, OpenAI highlights 8+ years of relevant experience; experience with server platforms, GPU systems, root cause analysis, rack integration. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Hardware Operations Engineer position at OpenAI?

This listing links directly to OpenAI's Ashby application page. You can apply directly on OpenAI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.