Software Engineer, Distributed Systems

Highlights

• Build core platform for routing, orchestration, and GPU autoscaling at scale.
• Design systems to scale 100x traffic with low latency worldwide.
• Use AI heavily to automate building complex, reliable systems.

What they offer

• Interesting and challenging work
• Learning and growth opportunities
• Regular team events and offsites

Ideal candidate

Self-starting distributed systems builder who thrives on large-scale, high-traffic platforms and owns reliability with minimal overhead. You move fast, communicate well, and obsess over performance and constant improvement.

Requirements

• 5+ years experience building distributed compute and orchestration platforms in Python or Rust
• Strong understanding of distributed systems fundamentals: consensus, scheduling, fault tolerance, capacity planning
• Deep understanding of computational complexity and memory allocation
• Track record of designing systems that scale under real production load
• Experience building and using observability to drive performance and reliability decisions
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement
• Experience with AI/ML inference or training infrastructure
• Experience with high-performance systems programming
• Background in building multi-tenant compute platforms
• Understanding of networking fundamentals and performance characteristics
• Familiarity with GPU workload characteristics and scheduling constraints