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Amazon Web Services (AWS)

Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineeri

Amazon Web Services (AWS), Cupertino, California, United States, 95014

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Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry‑leading work delivering continuous price performance improvements in the cloud for AI model training of multi‑billion variable LLMs? Come join us in designing, delivering, and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads.

You will work with engineers across the company to deliver next‑generation AWS platforms, impacting our bottom line and driving improvements for AWS. You will be part of a growing, fast‑paced, and fun team, taking ownership of your work and seeing directly how your contributions translate into product improvements.

Key job responsibilities You will be a technical leader solving complex architectural problems that may not be defined before hand. You will own the team’s systems, proactively identify deficiencies, write tactical code to solve issues before they impact customers, and work with your team to scale the solution. You will decompose difficult server system testability, reliability, and diagnosis problems into straightforward tasks, components, or features that you will lead to deliver yourself and through others in parallel. You will use a combination of hardware, software, system designs, x86 architecture, processes, diagnosis, and operations knowledge.

A day in the life Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud.

About The Team The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located in Seattle, Cupertino, and Austin, we work on programs with global development teams (both internal and external to Amazon). Our servers are located in data centers worldwide.

Basic Qualifications

2+ years of non‑internship professional software development experience

1+ years of designing or architecting (design patterns, reliability, and scaling) new and existing systems

7+ years of administrative experience in networking, storage systems, operating systems, and hands‑on systems engineering

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.

Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job ID: A3136557

This position will remain posted until filled. Applicants should apply via our internal or external career site.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Quality Assurance, Information Technology, and Engineering

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