Sr. Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon Amazon · Big Tech · Cupertino, CA · Hardware Development

This role is for a Sr. Hardware Engineer focused on the design, definition, and validation of AWS's next-generation ML Chips and Cards, including server integration and PCIe/Serdes topics. The engineer will optimize hardware for data centers and work with cross-functional teams on large-scale server deployments.

What you'd actually do

  1. As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customized platforms that fit within AWS datacenter’s world leading technology.
  2. As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers.
  3. 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.
  4. We’re seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration.

Skills

Required

  • Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level.
  • Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal and parallel bus interfaces.
  • Hands-on lab equipment skills (VNA, Realtime scope, Sampling scope and its accessories) for electrical validation and characterization.
  • Scripting skills to automate tests, logs parsing and data collection.
  • Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization.

Nice to have

  • Experience with Server HW designs, Design validation, Production tests and signal integrity of high speed interfaces.
  • Knowledge of the product development cycle from concept to mass production.
  • Strong analytical capabilities
  • The ability to work independently and drive tasks from start to completion
  • Ability to work cross functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level
  • Experience with server (x86 / ARM) design or architecture