Description

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.

As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of our next generation Machine learning Training and Inference Accelerators that are deployed in AWS data centers.

Key job responsibilities

• Responsible for validating the system architecture for the next gen Machine Learning Acceleration (MLA) product family using emulation/prototyping platforms.

• Collaborate with design, software & architecture teams and develop in-depth architecture validation plans

• Focus on SW integration, Usecases, Performance, Reset and Deadlock testing.

• Develop methodologies and robust infrastructure for test development, execution and reporting.

• Execute on the validation plans, debug and meet the criteria for successful TO

• Provide technical leadership through personal example, mentorship, and strong teamwork.

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA | Cupertino, CA, USA

Basic Qualifications

• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science or equivalent

• 7+ years of experience in either Pre or Post silicon validation.

• 4+ years of experience using Emulation or FPGA prototyping platform.

• 5+ years experience in C/C++.

• Experience on Testplan development and Test Infra development.

• Good understanding of HW Architecture and SW stack integration.

Preferred Qualifications

• Familiarity with Design protocols such as PCIe,AXI.

• Familiarity with SV,UVM,Coverage and Assertions.

• Experience in Automation and Scripting languages.

• Familiarity with building emulation models.

• Experience developing Debug and Reporting Methodologies.

• Meets/exceeds Amazon’s leadership principles requirements for this role

• Meets/exceeds Amazon’s functional/technical depth and complexity for this role

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $114,300/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.