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Technical Program Manager, GPU Fleet Management
Technical Program Manager, GPU Fleet ManagementOpenAI • San Francisco, California, USA
Technical Program Manager, GPU Fleet Management

Technical Program Manager, GPU Fleet Management

OpenAI • San Francisco, California, USA
22 days ago
Job type
  • Full-time
Job description

About the Team

The fleet team runs the GPU fleet that serves the models backing ChatGPT and API while also supporting training workloads for our next generation models. We manage one of the largest cutting edge GPU fleets in the world exposing it as a singular platform for other OpenAI teams to seamlessly run production Applied AI and training 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

As a Technical Program Manager for the GPU Fleet your role is to help make our future compute plans become a reality by coordinating with engineers to manage the capacity footprint for OpenAIs training and inference workloads while upleveling the demand-materialization lifecycle for all compute capacity. You will be responsible for managing & coordinating the overall body of work across many parallel programs / projects ensuring cohesive communication and consistent alignment across all teams in platform to all cross functional teams and up to leadership.

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 :

Guide the roadmap for automation for a fleet that can grow an order of magnitude in size or more.

Ensure that the capacity demand signal is operationally materialized within Fleet tooling and scheduling systems.

Build net-new systems that allow Fleet to better manage supply v. demand compute lifecycles across training and inference workstreams.

Uplevel our autoscaling and global scheduling infrastructure by improving its reliability ergonomics and expanding capabilities.

Work with Fleet Turnup engineers on executing on tight timelines and iteratively improving the process tooling and automation.

Work with external partners to unlock bleeding edge compute and make it available as a turnkey resource for scheduling workloads.

Collaborate closely with a broad set of stakeholders including product engineering inference security research and finance

You might thrive in this role if you :

Possess a degree in a hard science or have a demonstrated track record of engineering expertise.

Have 5 years of experience in program management for major projects including capital projects or hyperscaler infrastructure deployment

Demonstrated ability to serve as the go-to person solely responsible for driving and delivering complex projects.

Comfortable in managing cross-functional and cross-company teams; experience driving information and decision hygiene

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

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

Interfacing and leading external vendors including : engineering firms equipment suppliers and / or construction firms

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

Experience managing complicated dependencies such as logistics and or supply chains

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

Are interested in and thoughtful about the impacts of AGI.

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 OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement .

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. 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 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 .

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.

Required Experience :

Manager

Key Skills

AS400,Transportation Management Systems,Microsoft Outlook,Vehicle Maintenance,Dispatching,Maintenance Management,OSHA,Maintenance,Fleet Management,Operating Systems,Leadership Experience,Logistics

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 230 - 285

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Fleet Manager • San Francisco, California, USA

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