Sr. Software Engineer - Perf and Benchmarking

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.

What you’ll do

• 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.
  
  

Who you are

• 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 have

• 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.
  
  

Why CoreWeave

Help shape an industry-defining inference platform that enables teams to deploy generative AI and real-time applications at scale. If optimizing tail latency and delivering reliable model serving excites you, this is the place to build.

The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

This position requires access to export controlled information.  To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency.  CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.