System Development Engineer - EdgeAI, HW Compute Group
Core
Building and optimizing the Neural Network Accelerator (NNA) software stack to compile, deploy, and run vision and language models on Amazon's in-house neural accelerators for consumer devices.
Role type
Senior System Development Engineer (EdgeAI, HW Compute Group) (via careerplan.io/jobs/10573481-system-development-engineer-edgeai-hw-compute-group-at-amazon)
Builds
Production-quality AI features, ML compilation pipelines, on-device inference runtimes, and release automation infrastructure for millions of Amazon devices.
Domain
Consumer electronics, Edge AI, Embedded Systems, ML Systems
Deliverable
production ML models
Required skills
C, C++, Python, Linux/Unix environment, CI/CD pipelines, build systems, multi-package release engineering, software automation, test and evaluation systems
Preferred skills
Machine learning fundamentals (quantization, inference vs training), on-device/embedded ML runtimes, ML compilers, accelerator toolchains, device-side debugging, cloud infrastructure (AWS), agent-based/AI-assisted developer tooling
Technologies
NNA, Linux, C, C++, Python, CI/CD, AWS
Responsibilities
Contribute to the ML compilation pipeline (quantization, graph lowering, kernel selection, artifact packaging); Develop and maintain the on-device inference runtime (secure/non-secure execution, memory/bandwidth budgets); Build and improve test/evaluation systems for model accuracy, latency, and stability on physical devices; Contribute to build, release, and CI automation for the multi-package software stack.
Seniority
Senior, hands-on IC