Sr. Hardware Engineer - ML Acceleration, Annapurna Labs

Sr. 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. Annapurna Labs designs silicon and software that accelerates innovation, delivering custom chips, accelerators, and software stacks to tackle technical challenges and deliver results that help 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 PCIe and Serdes topics, with the goal of creating customized platforms that fit within AWS datacenter 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 applying 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 product 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.

About the team

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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 empower us to be proud of our differences. Ongoing events and learning experiences inspire us to embrace our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should not come at the expense of home life, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career Growth
We’re continuously raising our performance bar and offer knowledge-sharing, mentorship and other career-advancing resources to help you develop into a better-rounded professional.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Equal Opportunity Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Role responsibilities

• Define, design and validate AWS next generation ML Chips, Cards and server integration.
• Lead the design and execution of PCIe and Serdes topics for customized platform integration.
• Design and optimize hardware in data centers; apply new technologies to large scale server deployments.
• Collaborate with cross-functional teams to improve product performance, quality and cost.
• Provide technical leadership and mentorship within the hardware team.

• 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 Ser Des, 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…