Engineering Manager, Applied GPU Platform

1 week ago

San Francisco, United States OpenAI Full time

Our team runs the GPU fleet that serves the models backing ChatGPT and the API. We build automation to provision and manage one of the largest cutting edge GPU inference fleets in the world, exposing it as a singular platform for other OpenAI teams to seamlessly run production applied AI workloads.

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

We are looking for an experienced engineering manager to help lead our GPU platform team. You’ll help build and scale one of the largest inference fleets in the world. You will also collaborate closely with product and infrastructure teams to help ship reliable products quickly.

In this role, you will:

  1. Manage and build a diverse team of high performing infrastructure engineers
  2. Guide the roadmap for automation for a fleet that can grow an order of magnitude in size or more
  3. Build a world-class, secure compute fleet that serves users at scale
  4. Set technical direction on evolving our compute and abstractions to support a growing business
  5. Collaborate closely with a broad set of stakeholders, including product engineering, inference, security, research and finance
  6. Work with external partners to unlock bleeding edge compute and make it available as a turnkey resource for scheduling workloads
  7. Coach and nurture engineers to accelerate their growth and learning

You might thrive in this role if you:

  1. Have 10+ years of experience in infrastructure software engineering, including 5+ years of experience in engineering management
  2. Have prior experience building out high performance computing infrastructure teams at scale
  3. Have worked with provisioning bare metal server data centers that interconnect across a WAN
  4. Have experience building hybrid-cloud platforms
  5. Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams
  6. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. You will be expected to be able to be hands-on to help the team debug issues or manage systems from time to time as needed.
  7. Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
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.

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.

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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