Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon; Austin (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Hardware Design Engineer to join their Machine Learning Acceleration team. This role involves defining, designing, and validating next-generation ML chips and server integration. You will lead hardware design and optimization efforts, ensuring high standards and performance in a fast-paced environment. Collaborate with experts across various technology areas to innovate and enhance customer experiences. If you're ready to tackle complex challenges and contribute to groundbreaking advancements in cloud technology, this position is for you.

Qualifications

• Deep knowledge of PCIe interface Gen4 or above, both Electrical and Functional.
• Hands-on lab equipment skills for electrical validation and characterization.

Responsibilities

• Design and optimize hardware for data centers focusing on ML Chips and Cards.
• Lead the application of new technologies to 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 product's 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 the 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.

Posted: February 27, 2025 (Updated about 23 hours ago)

Posted: March 6, 2025 (Updated 1 day ago)

Posted: March 6, 2025 (Updated 2 days ago)

Posted: March 11, 2024 (Updated 3 days ago)

Posted: January 23, 2025 (Updated 3 days ago)