Job Description
Are you passionate about running large AI models directly on consumer devices — where every millisecond, milliwatt, and megabyte matters? Join our team t
- 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 - 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 - 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 engineeringOur 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.
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Candidate Guidance
System Development Engineer - Edgeai, HW Compute Group at Amazon should be evaluated by matching the role title, category, location and experience requirement with your resume before applying.
- Candidate fit: this IT Jobs is best for applicants who can show relevant skills, projects or work experience connected to the role.
- Experience check: compare your profile with 3+ yrs; if you are a fresher, highlight projects and internships, and if experienced, show measurable work outcomes.
- Location/work mode: verify whether IN, KA, Bengaluru is onsite, hybrid, remote, rotational shift or relocation-based on the official source page.
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