Seattle, WA, US
20 hours ago
Sr Technical Program Manager, AWS Generative AI & ML Servers
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that 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 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.

Our team designs, builds and operates Amazon's fleet of Accelerated Servers using Internal Amazon design silicon or specialized purpose accelerators (EC2.TRN, INF, G, F + more instance types). We solve systemic hardware issues and we build hardware and software systems to detect and mitigate future recurrences so that our our customers can experience the highest quality of service possible!

You will be responsible for program managing the design and operations of a brand new segment of servers for the AWS fleet. You will be responsible for development of individual boards, managing third party ODM's, integrating components from within and outside of amazon and integrating firmware/software stacks ontop of the hardware to produce high quality designs for our customers.

As the end to end owner of a complex server fleet, our team works closely with partners to root cause failures and drive changes back into our current & future designs. Nothing is complete without closed loop corrective actions which drive changes back into our development processes and behavior specifications.

As a member of the AWS Hardware Engineering organization, you will apply your technical experience and work with other subject matter experts in core component development, compute server development, networking development, custom hypervisor/virtualization development and other teams.

Key job responsibilities
As a member of the Accelerated Server Hardware Engineering team you will own the development and operations of either new development accelerated servers or servers in our fleet of AI/ML products.

You will work closely with our customers to understand their technical needs and business goals and partner with development engineers within the org to architect the solutions that we will deploy at scale.

To deliver your products you will work with an interdisciplinary team of hardware design, silicon design, component, firmware, test, qualification, and integration engineers.

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 ontop of your server design. You will be responsible for learning 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 Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally.

The members of our team have a diverse set of technical backgrounds but all share a common trait of Bias for Action and strong Ownership. We enjoy applying a startup model of delivering fully functional solutions for our customers.
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