About OpenAI
Empowering humanity through safe AI innovation
Key Highlights
- Headquartered in San Francisco, CA with 1,001+ employees
- $68.9 billion raised in funding from top investors
- Launched ChatGPT, gaining 1 million users in 5 days
- 20-week paid parental leave and unlimited PTO policy
OpenAI is a leading AI research and development platform headquartered in the Mission District of San Francisco, CA. With over 1,001 employees, OpenAI has raised $68.9 billion in funding and is known for its groundbreaking products like ChatGPT, which gained over 1 million users within just five day...
🎁 Benefits
OpenAI offers flexible work hours and encourages unlimited paid time off, promoting at least 4 weeks of vacation per year. Employees enjoy comprehensi...
🌟 Culture
OpenAI's culture is centered around its mission to ensure that AGI benefits all of humanity. The company values transparency and ethical consideration...
Site Reliability Engineer
Skills & Technologies
Overview
OpenAI is hiring a Site Reliability Engineer to operate and scale the next generation of compute clusters for frontier research. You'll work with Kubernetes and automation to ensure the reliability of large-scale supercomputers. This role requires experience in distributed systems and infrastructure management.
Job Description
Who you are
You have a strong background in distributed systems engineering and hands-on experience with infrastructure management — you've successfully operated large-scale compute clusters and understand the complexities involved in maintaining their reliability. Your expertise in Kubernetes is complemented by a solid understanding of Linux systems, allowing you to effectively manage and scale clusters in a hyperscale environment.
You thrive in fast-paced environments where quick problem-solving is essential — when issues arise, you can diagnose and resolve them efficiently, ensuring minimal downtime. Your experience with automation tools has enabled you to streamline processes, improve operational metrics, and enhance the overall efficiency of system operations.
What you'll do
In this role, you will be responsible for spinning up and scaling large Kubernetes clusters, focusing on automation for provisioning, bootstrapping, and cluster lifecycle management. You will build software abstractions that unify multiple clusters, presenting a seamless interface to training workloads. Your responsibilities will also include owning the node bring-up process from bare metal through firmware upgrades, ensuring fast and repeatable deployment at massive scale.
You will continuously work to improve operational metrics, aiming to reduce downtime and enhance system reliability. Collaborating with cross-functional teams, you will contribute to the design and implementation of systems that support OpenAI's cutting-edge model training initiatives. Your role will be pivotal in maintaining the efficiency and reliability of the infrastructure that powers groundbreaking AI research.
What we offer
At OpenAI, you will be part of a mission-driven team that believes in the potential of artificial intelligence to solve global challenges. We offer a collaborative work environment where your contributions will have a direct impact on the future of technology. Join us in shaping the future of AI and enjoy the opportunity to work with some of the brightest minds in the field.
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