Senior Benchmarking & Performance Engineer

CoreWeave Europe

Sunnyvale (CA)

On-site

USD 182,000 - 242,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
Company-paid Life Insurance
401(k) with generous employer match
Flexible PTO
Catered lunch in office
ESPP opportunities
Tuition reimbursement
Mental wellness benefits

Job summary

CoreWeave is seeking a Senior Engineer for the Benchmarking & Performance team. You will own the planet-scale data warehouse: ingesting, storing, transforming, and analyzing performance events across our global infrastructure to publish industry-leading benchmarks like MLPerf.

You’ll lead designs, raise engineering standards, and deliver measurable latency, throughput, and reliability improvements while partnering with product, orchestration, and hardware teams to evolve our Kubernetes-native

Qualifications

  • 3–5 years of experience building distributed systems or cloud services.
  • Strong programming skills in Python or Go; C++ a plus.
  • Hands-on Kubernetes, CI/CD, and observability experience.

Responsibilities

  • Develop and enhance Kubernetes-native benchmarking services measuring latency, throughput, jitter and cost-per-request.
  • Maintain benchmarking workflows for end-to-end MLPerf Training and Inference runs.
  • Participate in design discussions and contribute to architecture decisions.
  • Break down tasks into milestones and deliver high-quality code.
  • Maintain reproducible, well-documented benchmarking processes.
  • Provide code reviews and share best practices.
  • Mentor junior engineers and elevate coding/testing standards.
  • Ensure reproducible benchmarking processes.

Skills

Python/Go
Distributed systems
CI/CD

Tools

Kubernetes
Prometheus
Grafana
OpenTelemetry
CUDA/NCCL
TensorRT-LLM
vLLM
Megatron-LM

Job description

CoreWeave is seeking a Senior Engineer for the Benchmarking & Performance team. You will own the planet-scale data warehouse: ingesting, storing, transforming, and analyzing performance events across our global infrastructure to publish industry-leading benchmarks like MLPerf.

You’ll lead designs, raise engineering standards, and deliver measurable latency, throughput, and reliability improvements while partnering with product, orchestration, and hardware teams to evolve our Kubernetes-native

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