Hardware Engineer - ML Acceleration, Annapurna Labs

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

Job summary

Join an innovative team at a leading cloud platform where you'll design and validate cutting-edge hardware for machine learning acceleration. This role offers the chance to work on next-generation chips and server integration, collaborating with experts in a fast-paced environment. You'll play a key role in optimizing hardware solutions that enhance customer experiences while supporting a culture of mentorship and career growth. If you are passionate about technology and eager to tackle complex challenges, this opportunity is perfect for you.

Benefits

Mentorship programs

Work-life balance initiatives

Inclusive team culture

Qualifications

• Deep knowledge of PCIe interface and its applications.
• Experience with server hardware designs and signal integrity.

Responsibilities

• Design and validate next-gen ML chips and server integration.
• Optimize hardware for AWS data centers and improve performance.

Skills

PCIe interface knowledge

Transmission line theory

Electromagnetics

Lab equipment skills

Scripting skills

Technical communication

Analytical capabilities

Independent work

Cross-functional collaboration

Server design experience

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. 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 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.

About the team: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop their engineering expertise.

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.

About AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating.

Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences.

Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home.

Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer.

1. Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level.
2. Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal, and parallel bus interfaces.
3. Hands-on lab equipment skills (VNA, Realtime scope, Sampling scope, and its accessories) for electrical validation and characterization.
4. Scripting skills to automate tests, logs parsing, and data collection.
5. Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization.
6. Experience with Server HW designs, Design validation, Production tests, and signal integrity of high-speed interfaces.
7. Knowledge of the product development cycle from concept to mass production.
8. Strong analytical capabilities.
9. The ability to work independently and drive tasks from start to completion.
10. Ability to work cross-functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level.
11. 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit this link for more information.