Full Stack Engineer, Fleet Scheduling

Highlights

• Build interfaces to manage AI workloads on massive supercomputers.
• Create real-time tools for job scheduling and resource tracking.
• Design systems scaling to exascale while staying fast and usable.

What they offer

• Relocation assistance
• Equity

Ideal candidate

A full-stack builder who thrives in fast-paced collaboration and cares about usability, performance, and transparency for researchers managing large-scale AI infrastructure.

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).
• 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.