Sr. Software Engineer - Perf and Benchmarking
About The Position
We’re looking for a Senior Engineer for CoreWeave’s Benchmarking & Performance team. You will have an integral part in our planet-scale performance data warehouse: Ingesting, storing, transforming and analyzing performance events in all the data centers across our global infrastructure. You will also aid us in achieving industry-leading end-to-end performance benchmarking publications such as MLPerf. You will be an owner who leads designs, raises engineering standards, and delivers measurable improvements to latency, throughput, and reliability across multiple services. You’ll partner with product, orchestration, and hardware teams to evolve our Kubernetes-native platform and meet strict P99 SLAs at scale.
Requirements
- 3–5 years of experience building distributed systems, high-performance computing components, or cloud services.
- Strong programming skills in Python or Go (C++ a plus) with understanding of networked systems and performance fundamentals.
- Hands-on experience with Kubernetes in production environments plus familiarity with CI/CD and observability tools (e.g., Prometheus, Grafana, OpenTelemetry).
- Exposure to performance-critical GPU systems (CUDA, NCCL, NVLink/PCIe, memory bandwidth) or model-serving stacks (llm-d, vLLM, TensorRT-LLM, Megatron-LM).
- Effective communicator comfortable working cross-functionally.
Nice To Haves
- Experience with time-series databases, LSM-based storage engines, or custom data pipelines.
- Familiarity with MLPerf or other large-scale benchmarking frameworks.
- Contributions to OSS projects such as llm-d, vLLM or PyTorch.
- Exposure to benchmarking GPU clusters or multi-region environments.
- Background working with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies.
Responsibilities
- Develop and enhance Kubernetes-native benchmarking services that measure latency, throughput, jitter, and cost-per-request across CoreWeave’s compute stack.
- Contribute to implementing and maintaining benchmarking workflows for end-to-end MLPerf Training and Inference runs, including workload setup, cluster configuration, and result validation.
- Participate in design discussions and contribute to architecture decisions within the team.
- Break down engineering tasks into clear milestones and deliver reliable, high-quality code.
- Collaborate with teammates to maintain reproducible, well-documented benchmarking processes.
- Provide constructive code reviews and share best practices with peers.
- Mentor junior engineers; review cross-team designs and elevate coding/testing standards.
- Help ensure reproducible, well-documented benchmarking processes.
Benefits
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
