Base Salary
$230k - $490k/yr
Responsibilities
- Design, implement, and operate GPU compute fleet components including job scheduling, cluster management, snapshot delivery, and CI/CD systems
- Build scheduling and quota systems that maximize GPU utilization
- Develop automation for Kubernetes cluster provisioning and upgrades
- Support research workflows with service frameworks and deployment systems
- Improve model startup times through high-performance snapshot delivery from blob storage to hardware caching
- Work with researchers and product teams to understand workload requirements
- Collaborate with hardware, infrastructure, and business teams to deliver highly utilized and reliable services
Requirements
- Experience with hyperscale compute systems
- Strong programming skills
- Experience working in public clouds, especially Azure
- Experience working with Kubernetes
- An execution-focused mindset and rigorous attention to user requirements
- Understanding of AI/ML workloads is a bonus
Benefits
- Hybrid work model requiring 3 days per week in the San Francisco office
- Relocation assistance is available to new employees
Tech Stack
Categories
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. 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.