System Development Engineer - EdgeAI, HW Compute Group
# System Development Engineer - EdgeAI, HW Compute Group **ADCI - BLR 14 SEZ** · Bengaluru, Karnataka, IND · `On-site` · `full-time` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Amazon* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Systems, Quality, & Security Engineering]` `[System Development Engineering]` --- ### About the Role Are you passionate about running large AI models directly on consumer devices — where every millisecond, milliwatt, and megabyte matters? Join our team to work at the core of the Neural Network Accelerator (NNA) software stack, driving on-device machine-learning inference, compiler and runtime development, and the automation infrastructure that ships production-quality AI features to millions of Amazon devices. Key job responsibilities As a SysDE I on the NNA / EdgeAI team, you will contribute to the software stack that compiles, deploys, and runs vision and language models on Amazon's in-house neural accelerators. You will work across the ML compilation pipeline (quantization, graph lowering, kernel selection, artifact packaging), the on-device inference runtime (secure and non-secure execution paths, memory and bandwidth budgets), and the release and validation infrastructure that keeps our device fleet healthy build over build. A day in the life You will help build and improve the test and evaluation systems that validate model accuracy, latency, memory footprint, and stability on physical devices in the lab — including large-scale evaluation of Vision-Language Models (VLMs) end-to-end from reference to device. You will also contribute to the build, release, and CI automation that keeps our multi-package software stack shipping cleanly across product platforms. This role sits at the intersection of ML systems, embedded software, and release engineering. - Bachelor's degree or above in computer science, computer engineering, or related field - Experience working in a Linux/Unix environment - Strong programming skills in one or more of C, C++, Python - Experience with automating, building, testing, or deploying software - Experience with CI/CD pipelines, build systems, and multi-package release engineering
- Systems, Quality, & Security Engineering
- System Development Engineering
Наблюдалась 2026-10-08, впервые 2026-10-08, источник — Amazon.