About the job
You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters. You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management. This is an opportunity to work at the cutting edge of AI infrastructure, designing tools that scale to exascale workloads while maintaining usability and performance.
Responsibilities
Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time.
Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends.
Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation.
Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability.
Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems.
Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure.
Qualifications
Minimum
Significant experience in full-stack development, with expertise in modern frontend frameworks (React, Vue, or Angular) and backend technologies (Python, Go, or Node.js).
Experienced in building scalable, high-performance web applications for complex distributed systems.
Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure (especially Azure).
Execution-focused with a keen eye for usability, performance, and scalability in enterprise-scale systems.
Comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.
Preferred
Have experience working with Kubernetes, Docker, and cloud-native application deployment.
Understand AI/ML workload scheduling and orchestration challenges.
Have experience with real-time data processing, visualization libraries, and observability tooling.