Engineering Manager - Research Platform, Supercomputer Scheduling
About the Team
The Supercomputing team owns the entire process of building OpenAI’s compute and infrastructure, which includes the deployment of huge clusters using Kubernetes and Azure, and building the internal experiment platform for running/training the world’s largest AI models.
We work at the very cutting edge of speed and scale, combining the traditions of High-Performance Computing (HPC) in a modern cloud and containerized environment.
The Supercomputing Scheduling Pillar at OpenAI is dedicated to ensuring the reliability, scalability, and user-friendliness of job lifecycle management, with an emphasis on efficient and flexible job scheduling, quota management, and job execution workflows. We maximize researcher productivity by ensuring high goodput, efficient packing, and a consistent, ergonomic training workflow, while scaling to ever larger supercomputers while reducing operational burden to the team.
About the Role
As an engineering manager in the Scheduling Pillar, you will lead the team that designs, writes, deploys, and operates job lifecycle management systems for model training on some of the largest supercomputers in the world. This is an opportunity to shape a critical system in support of OpenAI's mission.
You do not need to be an ML/DL expert to deliver world-class infrastructure, but you do need to be able to quickly obtain a deep technical understanding of new domains.
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:
Directly managing ICs responsible for building the scheduling pillar of our Supercomputing organization
Build and grow high performing teams in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind.
Design, implement and operate components of our quota management, job scheduling, and queuing systems. In short, you will work on the key user interface to our supercomputers.
Interface with researchers to understand workload requirements
Harmonize job lifecycle features with cluster infrastructure, storage, and hardware health requirements.
You might thrive in this role if you:
Are a seasoned technical leader, excited to do hand-on technical work but equally excited to lead technical teams to peak performance.
Have significant experience with hyperscale scheduling systems
Have an execution focused mentality paired with a rigorous focus on user requirements
Can create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
Have excellent communication skills. Expressing ideas clearly and listening carefully are among the most important requirements for success in this role.
As a bonus, understand of AI/ML workloads
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.
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