About the role
Responsibilities Take ownership of Rust/Python systems powering AI inference and large-scale GPU computing platform Design for 100x growth in workloads and GPU capacity with reliable, low-latency execution Use AI aggressively to accelerate development and automate operations, alerting, and recovery Specialize in areas such as request routing, app deployment, autoscaling, worker orchestration, GPU fleet management, global file storage, or global IP backbone Requirements 3+ years building and operating large-scale production systems Strong Rust and/or Python skills Strong systems fundamentals (distributed coordination, scheduling, fault tolerance, Linux, networking, storage, or capacity management) Experience building and using observability to drive performance and reliability decisions Clear communication and sound technical judgment Preferred Qualifications Experience with multi-tenant compute platforms, AI inference, or training infrastructure High-performance systems programming (async runtimes, zero-copy, memory-safe concurrency) Linux systems engineering and fleet automation Experience with distributed filesystems like JuiceFS and Lustre Experience with Nvidia/AMD GPU infrastructure (DCGM, NVLink, RDMA, InfiniBand/RoCEv2) Experience with global networking and routing (BGP, ECMP, tunnels, eBPF, Geneve) About the Company fal is the generative media ecosystem powering the next generation of AI products, providing high-performance inference, orchestration, and observability on a unified platform.