System Development Engineer - EdgeAI, HW Compute Group

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 Basic qualifications: - 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 Preferred: - Familiarity with machine learning fundamentals — model formats, quantization, inference vs training - Experience with on-device or embedded ML runtimes, ML compilers, or accelerator toolchains - Experience with device-side debugging: kernel logs, driver logs, ADB, on-device tracing - Familiarity with cloud infrastructure (AWS) for large-scale test execution, log storage, and metrics - Familiarity with agent-based / AI-assisted developer tooling for triage, code review, or release automation - Minimum 3 year of experience in ML systems, embedded software, or release engineering Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.