Senior Software Engineer (Perf and Benchmarking)

Join CoreWeave's Benchmarking & Performance team as a Senior Software Engineer. You will play a crucial role in our planet-scale performance data warehouse, working on ingesting, storing, transforming, and analyzing performance events across our global infrastructure. You will also contribute to industry-leading end-to-end performance benchmarking publications. The ideal candidate will have strong programming skills, experience with distributed systems, and familiarity with Kubernetes and performance-critical GPU systems.

• Ingesting, storing, transforming, and analyzing performance events in all the data centers across our global infrastructure.
• Developing and enhancing Kubernetes-native benchmarking services that measure latency, throughput, jitter, and cost-per-request across CoreWeave’s compute stack.
• Contributing to implementing and maintaining benchmarking workflows for end-to-end MLPerf Training and Inference runs, including workload setup, cluster configuration, and result validation.
• Strong programming skills in Python or Go (C++ a plus) with understanding of networked systems and performance fundamentals
• Effective communicator comfortable working cross-functionally
• Exposure to performance-critical GPU systems (CUDA, NCCL, NVLink/PCIe, memory bandwidth) or model-serving stacks (llm-d, vLLM, TensorRT-LLM, Megatron-LM)
• Hands-on experience with Kubernetes in production environments plus familiarity with CI/CD and observability tools (e.g., Prometheus, Grafana, OpenTelemetry)
• 3–5 years of experience building distributed systems, high-performance computing components, or cloud services
• Background working with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies
• Exposure to benchmarking GPU clusters or multi-region environments
• Contributions to OSS projects such as llm-d, vLLM or PyTorch
• Experience with time-series databases, LSM-based storage engines, or custom data pipelines
• Familiarity with MLPerf or other large-scale benchmarking frameworks