senior Software Engineer ic 5+ yrs
$139,000 – $204,000
USD per year

About this role

CoreWeave is hiring a senior-level Software Engineer based in Sunnyvale, CA | Bellevue, WA. The posting calls out experience with Python, C, CUDA, Spring and roughly 5+ years of relevant work. Compensation is listed at $139,000–$204,000 per year.

Role
Software Engineer
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Sunnyvale, CA | Bellevue, WA
Experience
5+ years
Department
Technology
AI Summary
Senior Engineer building Kubernetes-native benchmarking services to measure performance across CoreWeave's global infrastructure and MLPerf workloads. Requires 5+ years distributed systems experience, strong Python/Go coding, and production Kubernetes expertise.

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Job description

from CoreWeave careers
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

About this role

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.
  • This is an excerpt. Read the full job description on CoreWeave careers →
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