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
- 5+ years of experience building distributed systems, high-performance computing, or cloud services.
- Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems and performance.
- Hands-on experience with Kubernetes at production scale, CI/CD, and observability stacks (Prometheus, Grafana, OpenTelemetry).
- Experience with performance-critical GPU systems (CUDA, NCCL, RDMA, NVLink/PCIe, memory bandwidth) and model-serving stacks (llm-d, vLLM, TensorRT-LLM, Megatron-LM).
- Strong communicator comfortable collaborating with cross-functional teams and external partners.
Nice To Haves
- Experience with time-series databases, LSM-based storage engines, or custom data pipelines.
- Experience running MLPerf submissions or similar large-scale audited benchmarks.
- 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.
Responsibilities
- Build and improve Kubernetes-native benchmarking services that measure latency, throughput, jitter, and cost-per-request across CoreWeave’s compute stack.
- Implement and maintain benchmarking workflows for end-to-end MLPerf Training and Inference runs, including workload setup, cluster configuration, runbooks, and result validation.
- Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones.
- 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
