Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering
Core
Design, deliver, and operate AWS cloud server infrastructure enabling high-performance AI/ML training and inference for multi-billion variable LLMs.
Role type
Senior Systems Development Engineer (AWS Generative AI & ML Servers)
Builds
Next-generation AWS platforms, server designs, and AI-driven automation workflows for cloud-scale AI workloads.
Domain
Cloud Infrastructure, Generative AI, Hardware Engineering
Deliverable
production ML models
Required skills
x86 architecture, server system design, hardware/software stack knowledge, systems debugging, automation development, agentic workflows, testability analysis, reliability engineering, tactical coding, cross-functional collaboration (via careerplan.io/jobs/10570327-systems-development-engineer-aws-generative-ai-ml-servers-aws-hw-engineering-at-amazon)
Preferred skills
AI implementation, core architecture influence, NPI phase involvement, fleet health management, process automation
Technologies
AWS Cloud, x86, AI-driven tools, agentic workflows
Responsibilities
Solve complex architectural problems for server systems, create automation through agentic workflows, decompose server testability and diagnosis problems, drive high quality and reliability in new server designs, collaborate across hardware/software/network teams, own implementation of work from conception to operations
Seniority
Senior, hands-on IC