OpenAI

Hardware Operations Engineer

OpenAI$120K — $150K *
US-AnywhereRemote in United States
Telecommunications & Hardware
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in datacenter hardware operations or hardware engineering, with 2 years in a senior role
  • Deep knowledge of high-density server hardware including x86 platforms, GPUs, and cooling systems
  • Proficient in diagnosing hardware issues and coordinating complex repairs
  • Excellent at setting technical expectations through collaboration
  • Ability to adapt to changing operational conditions and solve problems strategically
  • Strong communicative skills for building trust across teams and stakeholders
  • Willingness to work full-time on-site at the partner campus

Responsibilities

  • Serve as the primary on-site hardware contact for OpenAI
  • Collaborate with partner teams to coordinate maintenance and lifecycle activities
  • Ensure technical requirements are met and work aligns with quality targets
  • Manage schedules and spare parts planning to minimize downtime
  • Translate software issues into hardware actions in partnership with Oracle
  • Track hardware trends and recommend operational improvements with partners
  • Prepare documentation to capture best practices for future projects

Benefits

  • Collaborative work environment with industry leaders
  • Opportunity to contribute to pioneering AI infrastructure
  • Involvement in high-performance computing projects
  • Access to cutting-edge technology and tools
  • Focus on professional growth and development in a dynamic field
Full Job Description
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 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 OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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