GPU Performance Engineer

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: The GPU Performance Team is responsible for the automated testing and verification of CoreWeave’s ever-expanding fleet of nodes and infrastructure. The team plays a critical role in ensuring that the hardware we deliver to customers is stable and performant throughout its lifecycle. About the role: We are seeking a Senior Software Engineer to join the GPU Performance team to help us build and refine our automation platforms and workflows for reliability, efficiency, scalability and observability. This individual will join a team of Golang and Python developers innovating kubernetes-based solutions to hardware performance testing. As a member of the GPU Performance team, you would have the opportunity to: Design and Implement solutions for testing infrastructure at scale through automation. Develop platforms, workflows, data structures, API endpoints, and other testing management tools and capabilities. Create test plans, deployment automation, dashboards, alerts, and insights into our performance testing platform. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Who You Are: You are a software engineer with a strong bias toward reliability, automation, and scale . You’re comfortable owning services end‑to‑end and working close to hardware, but your primary tools are Go or Python , Kubernetes , and well‑designed APIs. Have experience building and maintaining backend services and APIs (REST/gRPC) and are comfortable integrating with infrastructure systems (Kubernetes, CI/CD, telemetry, metrics backends). Are motivated by automation at scale : you’d rather design a controller, workflow, or platform than run one‑off tests by hand. Are familiar with system metrics, performance, and health (e.g., GPU/CPU, network, storage, or similar infra) and know how to turn raw metrics into dashboards, alerts, and actionable insights . Are comfortable designing and implementing performance tests and validation workflows that run across many nodes and clusters. Care about code quality, observability, and operational readiness : logs, metrics, tracing, alerting, and on‑call are part of how you think about building systems. Are willing to participate in an on‑call rotation and help own the stability of the platforms you build. Work well in a collaborative, curious, and feedback‑driven team : you invest in your teammates, share ideas openly, and are excited to help shape how CoreWeave validates hardware performance at fleet scale. Preferred: Write and maintain Kubernetes custom controllers and operators to automate infrastructure testing. Contributions to OSS projects such as llm-d, vLLM, or PyTorch Exposure to benchmarking large GPU fleets or multi-region clusters. Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies. Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our pro ... (truncated, view full listing at source)