MLA IP Design Verification Engineer, Annapurna Labs

Amazon; Austin (TX); On-site; USD 154,000 - 215,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Annapurna Labs (U.S.) Inc. in Austin, TX, seeks an experienced Design Verification Engineer to join the Cloud-Scale Machine Learning Acceleration team.

You will design and validate ML hardware in data centers, verify functionality, and drive multi‑faceted verification plans to meet ambitious customer metrics. Ideal candidates have 3+ years in SystemVerilog/UVM, testbench development, and IP/SoC verification, plus experience with ARM/DSP ISAs and Python/Perl scripting.

Qualifications

• Bachelor's degree in Electrical Engineering or a related field required.
• 3+ years of design verification experience using SystemVerilog and UVM.
• 3+ years of testbench development including stimulus, checkers, assertions and coverage.

Responsibilities

• Verifying/validating that hardware and software solutions achieve their desired functionality.
• Developing and executing multi-faceted verification/validation plans.
• Measuring progress towards ambitious customer metrics.

Skills

Bug identification

SystemVerilog

UVM

Testbench development

Debugging skills

IP/SoC verification

C/C++

Education

Bachelor's degree in Electrical Engineering

Master's degree in Electrical or Communications Engineering

Tools

ARM ISA

DSP ISA

Python

Perl

Automation scripting

Job description

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

Inclusive Team Culture

Here at Amazon, 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.

Basic Qualifications

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

• 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 NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards
• Experience with industry standard tools and scripting languages (Python or Perl) for automation
• Experience using multiple verification platforms.
• Experience with C/C++ and Object-Oriented Programming

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

Learn more about our benefits at https://amazon.jobs/en/benefits.

• USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually
• USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

Company

- Annapurna Labs (U.S.) Inc.

Job ID: A10562345