Build the tooling that lets 100+ Neuron engineers ship faster on custom AI silicon

SDE I role on Amazon's Annapurna Labs / AWS Neuron team, building profiling, optimization, and resource-management tooling for ML workloads running on Inferentia and Trainium accelerators. Sits at the intersection of Kubernetes, custom silicon, and large-scale ML infrastructure, with real design ownership on a small, senior team building greenfield capabilities.

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Likely format

Typical Amazon SDE loop: online assessment/phone screen with coding, followed by an onsite/virtual loop mixing coding, system design, and Leadership Principles behavioral interviews.

What this interview tests

Java proficiency plus a secondary language (Go, Python, or TypeScript)
Kubernetes/Docker/containers ecosystem fundamentals
Building tooling for profiling, optimization, and resource management of ML workloads
Software development lifecycle discipline: design, test, build, deploy, CI/CD with Git
Cross-functional collaboration with hardware, software, and customer-facing teams
Root-causing software defects and building automation/metrics