About the Team

Join the engineering teams that bring OpenAI’s ideas safely to the world!!

The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. 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’re seeking an Infrastructure Engineer with experience in building and operating infrastructure at scale. You’ll join a nimble team where you’ll help drive deployment of OpenAI’s technology into new environments and infrastructure to enable the critical missions in the public sector. This role engages cross-functionally with internal product, security, and compliance teams to build required functionality and ensure we’re delivering a scalable, reliable platform that can run wherever our customers need our technology most.

This role is based in Washington D.C. and San Francisco, CA. Occasional travel to customer sites is required for this role. 

In this role, you will:

• Design and build performant, reliable, and scalable infrastructure, both on-premises and in cloud, for our public sector customers.

• Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems

• Bring new features and research capabilities to the world by partnering with product engineers to lay the necessary technical foundations

• Guide and advise product engineering teams on best practices for ensuring observable, scalable systems

• Work with our on-site teams and customers to ensure the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.

• Partner with teams across the business, including engineering, security, and compliance, to enable our infrastructure to operate within the unique constraints of new environments.

You might thrive in this role if you:

• Hold an active US security clearance

• Have 8+ years of experience in engineering, including 4+ years of experience in infrastructure

• Built, operated, and maintained infrastructure in environments with unique and challenging constraints.

• Take pride in building and operating scalable, reliable, secure systems

• Debug issues across the stack, inclusive of networking and performance

• Thrive in dynamic environments and can navigate ambiguity with ease.

• Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others

Some of the technologies you’ll be working with include Kubernetes, Python, FastAPI, Cosmos DB, Postgres, and Terraform.

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.