Amazon Web Services (AWS) Hardware Engineering team creates compute and storage server designs for Amazon’s innovative web services. Our designs are industry-leading in performance, frugality and operational excellence, and are critical to the success of the AWS business and the more than one million customers who use AWS today. Our Hardware Engineers solve challenging technology problems, and build architecturally sound, high-quality server platforms and components to enable AWS to realize critical business strategies. We are seeking experienced Hardware Design Engineers to build the next generation of our cloud platforms. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.
What you will do: As a member of the Server Hardware Engineering team you’ll be responsible for the design of our server platforms and AWS specific hardware components. You will interact with engineers across the company, and work with an interdisciplinary team to execute product designs from concept to production including design, development, validation, and the successful implementation of your work at large scale. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
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 hardware customizations that will directly benefit AWS customers.
Why you will love it: You will work directly with engineers across the company to build next-generation hardware. You will have a direct impact on our bottom line and the ability to deliver improvements for our customers. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work.
BS / MS Electrical/Computer Engineering (or equivalent experience)
7+ years of experience in system level design, board design (schematics through the physical board design) and component designs.
Experience collaborating with the ECAD/physical board designer and able to review PCB designs with Allegro, CAM350, or equivalent.
In-depth experience in compute and storage server architecture and design for large scale applications.
Working with interdisciplinary teams to execute product design from concept to production.
Developing functional specifications, design verification plans and functional test procedures
Commitment to rigorous testing practices and design process flows
Experience with the project management of technical projects a plus
Strong organizational and planning skills
Desire to work in a fast-paced environment
Ability to resolve complex issues in creative, efficient, and effective ways
Able to provide the customer and company-wide perspective to detailed technical decisions
Excellent written (white papers) and oral communication skills
Master’s degree in Electrical Engineering, Computer Engineering, or related field
Experience with server platform design and architecture
Experience with storage platform design and architecture
Experience with server technologies such as: power optimization, board design, thermal, mechanical, BIOS, BMC, signal integrity, networking.
Server validation and issue root cause experience
Virtualization technology/Bare metal
An understanding of multiple layers in the hardware-to-service stack.
An understanding of today's computing workloads and their resource utilization.