Software Engineer (Inference AI/ML)
Posted Updated
- 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
- Foundations in data structures, algorithms, and networked services
- BS/MS in CS, EE, or related field, or equivalent practical experience
- Exposure to containers and Kubernetes (coursework or projects welcome)
- Experience with Python or Go (C++ a plus) and Linux fundamentals; Git/CI basics
- Curiosity about GPU inference concepts (micro-batching, KV cache, streaming)
- Coursework/research with PyTorch or TensorFlow; simple CUDA projects a plus
- Internship or project that deployed a microservice or ML inference demo
- Familiarity with Grafana/Prometheus/OpenTelemetry or similar tooling