Software Engineer, Compute Infrastructure

Responsibilities

• Build and deeply optimize reliable system software for large-scale compute systems that run some of the world's most demanding AI workloads
• Design and operate infrastructure across accelerators, CPUs, NICs, switches, networking protocols, storage, data centers, cluster orchestration, scheduling, and fleet health
• Profile, benchmark, and optimize training workloads across compute, memory, storage, networking, NCCL and collective communication, and cluster scheduling bottlenecks
• Create hardware-aware automation that makes provisioning, firmware and driver upgrades, incident response, and day-to-day operations faster and less error-prone
• Build CaaS, agent infrastructure, profiling, observability, benchmarking, and platform tools that help researchers, product engineers, and operators launch, debug, and optimize workloads with less friction
• Turn operational lessons into better systems, stronger abstractions, and clearer ownership boundaries across teams
• Collaborate across research, engineering, security, networking, hardware, and data center teams to make compute capacity more capable and easier to use

Qualifications

• Strong software engineering skills and experience building, operating, or improving production infrastructure systems
• Experience in one or more relevant areas such as distributed systems, operating systems, networking protocols, RDMA, NCCL or collective communication, storage, Kubernetes, scheduling, observability, reliability engineering, high-performance computing, GPU infrastructure, CaaS, agent infrastructure, hardware-aware performance optimization, benchmarking, developer experience, or infrastructure tooling
• Ability to debug complex system behavior across software, hardware, networking, and workload layers, then turn findings into robust improvements
• Comfort with ambiguity, strong ownership, and a bias toward practical, durable solutions