The Trainium Servers and Systems organization is part of AWS Annapurna Labs focused on Machine Learning products that designs cutting AI platforms for the world’s largest Cloud Services provider. We support all Trainium based capacity in AWS data centers to ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll lead a diverse team of software, hardware, ASIC and system 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.
The Machine Learning Annapurna team is driving rapid innovation in the AI server systems used by Amazon Web Services. Our designs are fundamentally changing the data center, providing operational and financial benefits that are critical to the success of the AWS business and its millions of customers. Our engineers solve challenging technology problems, and take big bets on new concepts, enabling AWS services to continue to revolutionize the industry.
The ideal candidate for this role will be a strong leader, comfortable managing in a hyper-growth environment with a high degree of ambiguity. You will be a seasoned general manager, leading a multi-disciplinary team to achieve AWS-wide outcomes. You will be an innovative, hands-on leader seasoned in building and leading teams developing components for the computing industry. You will be experienced with manufacturing, hardware, firmware, and software, as well as their combined operation and architecture. You will have experience partnering with and improving your products for your customers. You will not be satisfied with the status quo and seek to innovate in the pursuit of better customer outcomes.
You and your team will identify and develop technologies for your customers ahead of when they are required. Your team will innovate, design, build, validate, and operate AWS AI server systems, and like products worldwide. Your team will engineer in manufacturing technologies and capabilities working internally and with various global vendors to improve manufacturing output and efficiency supporting the growth of Trainium based hardware services in the AWS data centers, leveraging diverse technology domains, including hardware, firmware, embedded software, large-scale distributed software systems, and Amazon services. You will establish the strategic vision, and drive tactical execution in defining and delivering your new products and services. Success in this role will be based on customer satisfaction, and the operational excellence that enables AWS to continue to expand its products and services for our customers.
Why it matters : Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our hardware is used, creates a unique opportunity for customization that will directly benefit our customers.
Why you will love it : This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You will work with teams across the company to enable the rapid development of next-generation devices. You will have a direct impact on our bottom line and the ability to deliver improvements for our developers. You will lead 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. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people. AWS Engineers are shaping the way people use computers.
Manager • Taipei City, TWN