Software Engineer, Distributed Systems

You will build core Python and Rust platform capabilities for request routing, AI workload orchestration, scheduling, GPU autoscaling, storage, and queueing. You will design the platform’s evolution for substantially higher traffic and global low latency, automate routine systems work with AI, and profile and tune CPU and memory performance.

Responsibilities

• Build Python and Rust platform services for routing, orchestration, scheduling, autoscaling, storage, and queueing
• Design platform evolution for increased traffic and global low latency
• Automate systems work using AI
• Profile and tune low-level CPU and memory performance

Requirements

• 3+ years of experience building distributed compute and orchestration platforms in Python or Rust
• Understanding of distributed systems fundamentals, including consensus, scheduling, fault tolerance, and capacity planning
• Understanding of computational complexity and memory allocation
• Track record of designing systems that scale under production load
• Experience using observability to guide performance and reliability decisions
• Communication skills and ability to drive technical decisions across teams
• Experience with AI or ML inference or training infrastructure
• Experience with high-performance systems programming
• Background in multi-tenant compute platforms
• Understanding of networking fundamentals and performance characteristics
• Familiarity with GPU workload characteristics and scheduling constraints

Benefits

• Equity
• Relocation assistance to San Francisco
• Health, dental, and vision insurance
• Regular team events and offsites