Software Engineer, ML Serving Platform

DoorDash's ML Serving Platform team builds infrastructure serving tens of millions of predictions per second. As a Software Engineer, you'll develop self-serve tools for modelers, integrate open source inference frameworks, optimize latency and reliability of distributed ML serving systems, and own projects from design to production. You'll work with Kubernetes, CPU/GPU infrastructure, and improve platform adoption and performance.

2+ years software engineering experience building production services; strong CS fundamentals; proficiency in Java, Kotlin, Go, C++, or Python; understanding of distributed systems; experience debugging production systems; degree in CS or equivalent. Preferred: ML inference infrastructure, Kubernetes, self-serve platforms, open source integration, CPU/GPU profiling.