Tech Lead Manager (TLM) - Supercomputing Storage
San Francisco, CA
About the Team
Storage Infrastructure provides APIs for data access, placement, and lifecycle management, while ensuring that the storage systems’ capacity, throughput, and IOPs satisfy the needs of our AI researchers. Scalability, reliability, security, and usability are the core concerns of the team.
About the Role
As a TLM / engineering manager in the Storage Pillar, you will lead a team to design, build, and operate Exascale systems to scalably and reliably manage our research data across multiple regions.
We’re looking for distributed systems engineers who have worked on exascale data management systems or distributed filesystems.
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 software to manage exascale data, and make it accessible to researchers
Drive the reliability, predictability, and cost effectiveness of our storage systems
Interface with researchers to understand and accommodate data use-cases
Ensure the security of our critical datasets
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.
You might thrive in this role if you:
Have a deep understanding of distributed systems principles and a proven track record in designing and building scalable, reliable, and secure storage solutions.
Possess strong programming skills
Have experience working in public clouds (especially Azure)
Have a bias for action and comfort building in a fast paced, dynamic environment
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.
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.
Tags: APIs Azure Data management Distributed Systems Engineering Machine Learning OpenAI Privacy Research Security
Perks/benefits: Career development Relocation support
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