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Technical Program Manager, Hardware Health

About the Team 

OpenAI’s Hardware Health team oversees all hardware health related aspects of our custom-built hyperscale supercomputers. The team is responsible for maximizing the available supercomputing capacity for research and ensuring that our researchers are minimally impacted by hardware faults.

The hardware health team is being incubated inside OpenAI’s Research team, which operates at the far edge of all available innovations in AI — doing the engineering and research required to train large-scale AI models of unprecedented capability.
Our Hardware Health Team is in need of Research Program Managers (RPMs) to streamline the development and integration of various innovations for our hyper scale supercomputers. This role is crucial for driving critical model development programs, data center turn up, and ensuring new advancements are effectively implemented against ambitious targets.
In this role you will:

Be responsible for development of our next generation of hyper scale supercomputers and model training on them. Your primary focus will be to ensure our supercomputers are running efficiently and smoothly for training the most cutting-edge models in the world and our research development efforts are agile, informed, and transformed into products people love.

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.

You might thrive in this role if you: 

  • Demonstrated track record of engineering expertise, OR having an advanced degree in a hard science is advantageous. 

  • Possess an advanced degree in a hard science, with a PhD being advantageous OR a demonstrated track record of engineering expertise. 

  • Have an extensive track record of successfully delivering high-profile, complex technical projects against tight deadlines.

  • Are technically adept, and have effectively partnered with engineering and fundamental research teams of the highest caliber.

  • Expertise in designing and implementing simple, scalable processes that solve complex problems.

  • Are relentlessly resourceful and thrive in ambiguous, fast-paced environments.

  • Exceptional written and verbal communication skills.

  • Interested in and thoughtful about the impacts of AGI.

  • Bonus points if you have experience in ML/AI/large-scale traditional infrastructure, data center deployment, or hardware-related work.

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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

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.

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CEO of OpenAI
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Sam Altman
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OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
August 27, 2024

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