Software Engineer, Supercomputing, HPC Infrastructure
San Francisco, CA
About the Team
We believe that increasing compute is a huge lever to AI progress.
The Supercomputing team owns the entire process of building OpenAI’s compute and infrastructure. This 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.
We build some of the largest Supercomputers in the world. When our Owl cluster launched it in 2019 it would've been among the top 5 of the TOP500 supercomputers in the world. Since then we've only continued to grow. See this blog post to get a sense of what kind of challenges we solve in our day-to-day work: Scaling Kubernetes to 7,500 Nodes
You won’t encounter any other organization in the world with as much compute per employee. We are a small team that moves quickly, with access to huge resources, working with a direct impact on the success of OpenAI and, by extension, the field of AI as a whole.
About the Role
In this role, you will work closely with machine learning researchers, but don't need to be a machine learning expert yourself. We value people who can quickly obtain a deep technical understanding of new domains and enjoy being self-directed and identifying the most important problems to solve. Experience with high-performance computing, or open-source contributions is a bonus.
You might thrive in this role if you:
Have experience designing, implementing, and running production services and highly available distributed systems
Have worked with highly performant bare-metal systems
Have helped a team mature with standardized tools and processes around stability, observability, and scaling
Have experience running large Kubernetes clusters with GPU workloads, in the range of 500-1,000 nodes and GPUs
Have experience working with Azure or other cloud platforms such as AWS or GCP
Know your way around bash, Terraform, Python, and/or Chef
Are confident in managing and monitoring large-scale infrastructure deployments
Can debug problems across the stack, such as networking issues, performance problems, or memory leak
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: AWS Azure Distributed Systems GCP GPU HPC Kubernetes Machine Learning OpenAI Open Source Privacy Python Research Terraform
Perks/benefits: Career development Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Scientist II jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs