System Development Engineer, AI/ML (Accelerator) Server

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities You will be a member of the larger HWEng Storage organization and will lead ideation, design and implementation of new automation capabilities in the Solid‑State Drive (SSD) team. These components are used by all of AWS server platform teams, e.g. AI/ML servers, storage servers, compute servers, etc. Given the sheer number of programs that this team supports and the scale at which Amazon operates, you will be expected to pitch new automation initiatives, optimize existing ones, and lead the SysDE community to eliminate tactical and redundant manual efforts. You will work with engineers across the company for delivering the next‑generation AWS Storage platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast‑paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. Basic Qualifications 5+ years of non-internship professional software development experience 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience 5+ years of administrative experience in networking, storage systems, operating systems and hands‑on systems engineering experience Knowledge of systems engineering fundamentals (networking, storage, operating systems) Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby Preferred Qualifications Experience with PowerShell (preferred), Python, Ruby, or Java Experience working in an Agile environment using the Scrum methodology Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. Location: USA, CA, Cupertino - $148,700.00 - $201,200.00 USD annually #J-18808-Ljbffr