Principal Engineer, GPU Platform

About the Team
The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.
You’ll join the team responsible for running the infrastructure that supports the models backing ChatGPT and the API. The systems we support include inference kubernetes clusters, GPU health, Infiniband performance, node lifecycle, and more.We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role
The inference compute team builds and maintains infrastructure abstractions allowing OpenAI to run models at scale.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Design and build the inference infrastructure that power our products, enabling reliability and performance

• Ensure our infrastructure can scale to the next order of magnitude

• Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.

You might thrive in this role if you:

• Have 10+ years building core infrastructure

• Have experience running GPU clusters at scale

• Have experience operating orchestration systems such as Kubernetes at scale

• Take pride in building and operating scalable, reliable, secure systems

• Are comfortable with ambiguity and rapid change

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

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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 .

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 .

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.

Compensation

$405K – $590K + Offers Equity