MLA IP Design Verification Engineer, Annapurna Labs

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

Job summary

An established industry player is looking for a skilled Design Verification Engineer to join their innovative Cloud-Scale Machine Learning Acceleration team. In this role, you will be responsible for the design and validation of cutting-edge machine learning hardware in data centers. You will play a critical role in ensuring that hardware and software solutions meet desired functionality through rigorous verification and validation processes. This dynamic environment values work-life balance, mentorship, and career growth, providing opportunities to thrive while contributing to transformative technology solutions. If you are passionate about technology and eager to make a significant impact, this position is for you.

Benefits

Flexible working hours

Mentorship programs

Diversity and inclusion initiatives

Career growth opportunities

Qualifications

• 3+ years of design verification experience with System Verilog and UVM.
• Experience in testbench development including stimulus and checkers.

Responsibilities

• Verify and validate hardware and software solutions for functionality.
• Develop and execute multi-faceted verification plans.

Skills

Design Verification

System Verilog

UVM

Testbench Development

C/C++

Object-Oriented Programming

Python

Perl

Education

BS Degree in Electrical Engineering

BS Degree in Computer Science

BS Degree in Computer Engineering

Job 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 Engineer 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:

1. Verifying/validating that our hardware and software solutions achieve their desired functionality.
2. Developing and executing multi-faceted verification/validation plans.
3. Measuring the team’s progress towards our ambitious customer metrics.

About the team

Inclusive 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 languages such as Python or Perl.

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.