Enable job alerts via email!

Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon

Austin (TX)

On-site

USD 100,000 - 125,000

Full time

30+ days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Join a forward-thinking company as a Hardware Design Engineer, where you'll play a crucial role in defining and validating next-generation ML chips and server integrations. This exciting position involves collaborating with cross-functional teams to tackle complex challenges in hardware design and optimization. You'll leverage your deep knowledge of PCIe interfaces and transmission line theory to create customized platforms that enhance AWS's world-class technology. If you're ready to push the boundaries of innovation and make a significant impact in the tech industry, this opportunity is for you.

Qualifications

  • Deep knowledge of PCIe interface Gen4 or above at chip and PCB levels.
  • Hands-on lab equipment skills for electrical validation and characterization.

Responsibilities

  • Design and optimize hardware for data centers focusing on ML acceleration.
  • Lead the application of new technologies for large-scale server deployments.

Skills

PCIe interface knowledge
Transmission line theory
Electromagnetics
Scripting skills
Technical communication

Tools

VNA
Realtime scope
Sampling scope

Job description

Hardware Engineer - ML Acceleration, Annapurna Labs

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

We are seeking a Hardware Design Engineer with a role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. 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 customized platforms that fit within AWS datacenter’s world leading technology.

As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. 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 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.

BASIC QUALIFICATIONS

- 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.
- Work with ODMs, IP Silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and resolving issues.
- 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.

PREFERRED QUALIFICATIONS

- 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Sr. Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon

Austin null

On-site

On-site

USD 110.000 - 160.000

Full time

2 days ago
Be an early applicant

Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon Web Services (AWS)

Austin null

On-site

On-site

USD 90.000 - 150.000

Full time

30+ days ago

Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon

Austin null

On-site

On-site

USD 90.000 - 150.000

Full time

30+ days ago

Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon

Austin null

On-site

On-site

USD 90.000 - 150.000

Full time

30+ days ago