How to apply for Data Center Compute, OpenHouse Savannah 2026

About OpenAI

OpenAI is a frontier AI research and product company with teams working on alignment, policy, and security. It posts specific opportunities it considers high impact, and it explicitly does not necessarily recommend working at other positions at the company. Candidates should read the 80,000 Hours career review on working at a frontier AI lab to understand concerns about doing harm in this field.

About the role

This is an open house hiring event for OpenAI's Compute organization, which delivers the infrastructure behind its most advanced models. The team spans software, hardware, facilities, operations, and engineering, and the work covers distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. The role is remote in the US and full-time, and the exact scope depends on the candidate's background.

A typical day

The posting does not describe a specific daily routine, and the scope depends on which discipline you are hired into. Expect to work with teams across research, engineering, hardware, operations, and infrastructure, and to ask during interviews how the Compute team splits time between software, hardware, and physical data center work.

Who OpenAI is looking for

• Has hands-on experience with at least one area named in the posting: large-scale distributed systems, ML infrastructure, GPU fleets, hardware systems, manufacturing, supply chain, data center development, or physical engineering systems.
• Can work across disciplines, since the team cuts across software, hardware, facilities, operations, and engineering rather than sitting in one silo.
• Has scaled or operated compute infrastructure at a size where reliability and efficiency are hard problems, not just lab exercises.
• Is comfortable with the physical side of compute, including power, cooling, networking, and data center delivery, not only software layers.

Tips for this application

• This is an OpenHouse event for Savannah 2026, so treat the application as an event registration as well as a job application. State clearly that you are applying for the Savannah OpenHouse and confirm you can attend or engage with that event.
• The posting is intentionally broad, so pick one or two areas from the list (for example GPU fleet operations or data center power and cooling) and show depth there instead of claiming everything.
• OpenAI posts specific opportunities it thinks may be high impact and does not necessarily recommend other roles there. Explain why this Compute role specifically is the one you want, not just why you want to work at OpenAI.
• Address the frontier AI harm concern directly if it applies to you. The company links an 80,000 Hours career review on this topic, so showing you have read it and thought about it is better than ignoring it.
• Since the location is remote in the US but the event is in Savannah, clarify your location, willingness to travel to Savannah, and how you would work with facilities and data center teams that are physically on site.

What to cover in your cover letter

Name the specific compute discipline you bring and give one concrete example of scale you have worked at. Explain why infrastructure for frontier AI models is the problem you want to work on. Show awareness of the tradeoffs of working at a frontier AI lab, referencing the concerns OpenAI itself links to. State your availability for the Savannah 2026 OpenHouse and your US remote work situation.

Research before applying

• Read the 80,000 Hours career review on working at an AI lab, which OpenAI links in the posting, so you understand the harm concerns the company itself raises.
• Study OpenAI's Compute organization and what it says about training models like GPT-5.6, since the posting names that system.
• Look into the Savannah area and any data center or compute buildout there, because the OpenHouse is tied to that location.
• Review OpenAI's published research, policy, and security work to understand what the compute infrastructure is ultimately supporting.

Likely interview topics

Based on the job description, expect questions about:

• How you would scale a GPU fleet or distributed system when demand grows faster than the physical buildout.
• A time you dealt with reliability or efficiency problems in compute infrastructure, and what you changed.
• How power, cooling, networking, and supply chain constraints affect data center delivery timelines, and how you have worked around them.
• How you coordinate across software, hardware, facilities, and operations teams that have different priorities.
• Your view on the risks of working at a frontier AI company and how you think about them.

Common mistakes to avoid

• Applying as if this were a standard software engineering role and ignoring the hardware, facilities, power, cooling, and supply chain parts of the posting.
• Sending a generic cover letter that could apply to any OpenAI job, when the company explicitly says it does not necessarily recommend other positions there.
• Ignoring the frontier AI harm question that OpenAI itself links to, which suggests the company expects candidates to have thought about it.