Drimva

CoreWeave

Software Engineer, Inference AI/ML

$92K–$135K

Sunnyvale, CA / Bellevue, WA +2 · Full-time · Posted Oct 24, 2025

Location
Sunnyvale, CA / Bellevue, WA
Bellevue, WA
Sunnyvale, California, United States
Education
BS/MS in CS, EE, or related field, or equivalent practical experience.
Visa sponsorship
Requires access to export-controlled information; applicants must meet one of the stated U.S.-person, export-authorization-exemption, or export-authorization eligibility conditions. CoreWeave may decline to pursue export licensing for legitimate business reasons.

About the job

Implements and tests production features for model-serving services on CoreWeave’s GPU platform, focusing on inference latency, reliability, and cost.

What you'll do

  • Implement well-scoped model-serving features and fixes; write tests, comments, and short design docs, and participate in code reviews.
  • Add basic metrics and dashboards; assist with alarms and runbooks, and learn incident response through a guided on-call rotation.
  • Contribute to guided performance experiments, such as request batching, concurrency, and caching.

What they ask for

  • BS/MS in CS, EE, or a related field, or equivalent practical experience.
  • Foundations in data structures, algorithms, and networked services.
  • Experience with Python or Go; C++ is a plus.
  • Linux fundamentals, Git/CI basics, and exposure to containers and Kubernetes.

Nice to have

  • Internship or project deploying a microservice or ML inference demo.
  • Coursework or research with PyTorch or TensorFlow; simple CUDA projects or familiarity with Grafana/Prometheus/OpenTelemetry or similar tooling.

Pay

USD 92,000 to USD 135,000 base salary

Tools

Python, Go, C++, Linux, Git, CI, Triton, vLLM

AI focus

Develops and optimizes GPU-based model inference and serving, including performance experiments involving batching, concurrency, and caching.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)