MLA IP Design Verification Engineer, Annapurna Labs

Amazon Web Services (AWS); Austin (TX); On-site; USD 98,000 - 249,000; Full time

Job summary

Join Amazon Web Services as an MLA IP Design Verification Engineer, where you'll be integral to our cutting-edge cloud server platform. You will leverage your expertise in design verification to validate machine learning hardware within our data centers, ensuring robust functionality to enhance our customer metrics. Embrace an inclusive culture prioritizing work-life balance and mentorship opportunities, making a significant impact in the evolving technology space.

Benefits

Flexible working hours

Inclusive team culture

Mentorship opportunities

Qualifications

• 3+ years of design verification experience.
• Experience in testbench development: stimulus, checkers, assertions.
• Experience verifying IP blocks and subsystems.

Responsibilities

• Verify/validate hardware and software functionality.
• Develop and execute multi-faceted verification plans.
• Measure progress towards customer metrics.

Skills

System Verilog

UVM

C/C++

Python

Perl

Education

BS Degree in EE or CS or CE

Job description

Join to apply for the MLA IP Design Verification Engineer, Annapurna Labs role at Amazon Web Services (AWS)

Join to apply for the MLA IP Design Verification Engineer, Annapurna Labs role at Amazon Web Services (AWS)

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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.

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 are seeking an experienced Design Verification Engineers to build the next generation of our cloud server platforms. Our success depends on our world-class 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 validation of machine learning hardware in our data centers.

Some of your responsibilities will include verifying/validating that our hardware and software solutions achieve their desired functionality, developing and executing multi-faceted verification/validation plans, and measuring the teams progress towards our ambitious customer metrics.

Key job responsibilities

Some of your responsibilities will include verifying/validating that our hardware and software solutions achieve their desired functionality, developing and executing multi-faceted verification/validation plans, and measuring the teams progress towards our ambitious customer metrics.

About The Team

nclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic Qualifications

BS Degree or Higher in EE or CS or CE.

3+ years of design verification experience using System Verilog and UVM

3+ years of experience in testbench development including: stimulus, checkers, assertions and coverage

Preferred Qualifications

Experience verifying multiple levels of logic including: IP blocks and full subsystem.

Experience using multiple verification platforms.

Experience with C/C++ and Object-Oriented Programming.

Experience with scripting language for E.g.: Python, or Perl.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


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

Job ID: A2998210

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  IT Services and IT Consulting

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