Software Engineer, Inference AI/ML
CoreWeave
About the Role
Join the Inference team to ship production features that improve latency, reliability, and cost for model serving on our GPU platform. As an IC1, you’ll implement well-scoped changes, learn our operational practices, and grow quickly with mentorship from experienced engineers.
- Implement well-scoped features and fixes in Python/ Go/ C++ for model-serving services (e.g., Triton, vLLM, TensorRT-LLM, Ray Serve).
- Write tests, code comments, and short design docs; participate in code reviews.
- Add basic metrics and dashboards; assist with alarms and runbooks.
- Follow on-call runbooks and learn incident response in a guided rotation.
- Contribute to performance experiments (e.g., request batching, concurrency, caching) with guidance.
Requirements & Tech Stack
- BS/MS in CS, EE, or related field, or equivalent practical experience.
- Foundations in data structures, algorithms, and networked services.
- Experience with Python or Go (C++ a plus) and Linux fundamentals; Git/CI basics.
- Exposure to containers and Kubernetes (coursework or projects welcome).
- Curiosity about GPU inference concepts (micro-batching, KV cache, streaming).
Qualifications
- Internship or project that deployed a microservice or ML inference demo.
- Coursework/research with PyTorch or TensorFlow; simple CUDA projects a plus.
- Familiarity with Grafana/Prometheus/OpenTelemetry or similar tooling.