About the role
Job Application for Software Engineer, Distributed Systems at fal Back to jobs Software Engineer, Distributed Systems San Francisco Apply You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of traffic and data. You know how to achieve reliability and scale with minimum operational load. Key
responsibilities Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems Profile and tune low level CPU and memory performance
Requirements 3+ 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
Nice to have Experience with AI/ML inference or training infrastructure Experience with high-performance systems programming (async runtimes, zero-copy, memory-safe concurrency) Background in building multi-tenant compute platforms Understanding of networking fundamentals and performance characteristics Familiarity with GPU workload characteristics and scheduling constraints