Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world.
Requirements
- 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)
Benefits
- Relocation assistance
- Hybrid work model (3 days in the office per week)
- Opportunity to work at the cutting edge of AI infrastructure