Hardware Engineer - ML Acceleration, Annapurna Labs

Overview

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. We create cloud solutions with custom chips, accelerators, and software stacks to tackle challenges and deliver results that help customers change the world.

We are seeking a Hardware Design Engineer to participate in the definition, design, and validation of AWS next-generation ML chips, cards, and server integration. As a senior member of the hardware team, you will contribute to the design and execution of PCIe and Serdes topics to create customized platforms that fit within AWS datacenters’ world-class technology. As part of the Machine Learning Acceleration team you will be responsible for the design and optimization of hardware in our data centers, providing leadership in applying new technologies to large-scale server deployments to deliver a world-class customer experience.

This is a fast-paced, intellectually challenging position. You will work with thought leaders in multiple technology areas, maintaining high standards for yourself and your teammates, and continually seeking ways to improve product performance, quality, and cost. We are changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

• Contribute to the definition, design, and validation of hardware for AWS ML chips, cards, and server integration
• Lead and collaborate on PCIe and Serdes topics to enable customized platforms for AWS datacenters
• Design and optimize hardware in large-scale data center deployments to improve performance, reliability, and cost-effectiveness
• Apply new technologies to improve customer experience and product quality

• Bachelor s degree in Electrical Engineering or a related field
• Experience identifying bugs in architecture, algorithms, functionality, and performance with strong debugging skills
• Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing

• Master s degree in Electrical or Communications Engineering or a related field
• Experience with formal verification techniques including abstraction and end-to-end checking
• Experience with ARM and various DSP ISAs
• Experience with current and upcoming RF standards in cellular (4G/5G ), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards
• Experience with industry-standard tools and scripting languages (Python or Perl) for automation

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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, including support for the interview or onboarding process, please visit the Amazon accommodations page for more information.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and RSUs. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits.

USA, CA, Cupertino -  -  USD annually
USA, TX, Austin -  -  USD annually

Company:
Annapurna Labs (U.S.) Inc.

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