OpenAI
Full Stack Engineer, Fleet Scheduling
$230K–$490K
San Francisco · Full-time · Posted Feb 6, 2025
- Experience
- Significant experience requested; no number of years specified.
About the job
Design, develop, and operate web systems for monitoring, scheduling, and managing AI workloads across OpenAI’s supercomputing infrastructure.
What you'll do
- Build full-stack applications and tools for real-time workload tracking, job scheduling, and resource management.
- Collaborate with research and infrastructure teams to create intuitive interfaces and scalable backends.
- Optimize services and systems for high throughput, low latency, availability, security, and scalability.
What they ask for
- Significant full-stack development experience, including modern frontend frameworks and backend technologies.
- Experience building scalable, high-performance web applications for complex distributed systems.
- Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure, especially Azure.
Nice to have
- Experience with Kubernetes, Docker, and cloud-native deployment.
- Understanding of AI/ML workload scheduling and orchestration, or experience with real-time data processing, visualization, or observability tools.
Pay
$230K – $490K (USD; base salary)
Tools
React, Vue, Angular, Python, Go, Node.js, Azure, Kubernetes
AI focus
Build tools for managing, scheduling, monitoring, and allocating resources for large-scale AI workloads on supercomputing infrastructure.
Model-written summary · the original posting is authoritative