Application deadline: Applications will be accepted on an ongoing basis. Do you want to shape the future of Generative AI at AWS? Join the team building the foundation of the worlds most advanced cloud for AI training and inference where multi-billion-parameter models come to life at scale. Here, youll design, deliver, and operate next-generation infrastructure that powers breakthrough innovation in AI/ ML and HPC workloads. If youre passionate about pushing the limits of performance, efficiency, and scalability in the cloud, this is your opportunity to build the systems that define whats next for AWS and for the entire AI industry. Youll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. Youll 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 youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. A day in the life. Your day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development on top of your server design. You will be responsible for solving operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/ JDM design teams to develop and manufacture your product at scale. About the team. The team is comprised of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best specialized server fleet possible to our customers. Why AWS - Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture. Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze. Con (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/ Life Balance. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud. Mentorship and Career Growth. Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying. Basic Qualifications- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent- Experience with server, storage, networking, or large-scale distributed systems- Experience in developing functional specifications, design verification plans and functional test procedures- Experience troubleshooting issues and root cause analysis- Experience leading OD - Ms and other suppliers in the product development and manufacturing processes. Preferred Qualifications- Master's degree in Electrical Engineering, Computer Engineering, or a related technical field- Experience working with interdisciplinary teams to execute product design from concept to production- Expertise in product development disciplines such as, thermal, mechanical, power, FW/ SW, reliability, and sustaining- Experience deploying and operating hardware and applications across large data centers.