Demo

Sr. DFT Design Engineer, AWS Machine Learning Acceleration

Annapurna Labs (U.S.) Inc.
Austin, TX Full Time
POSTED ON 10/23/2025 CLOSED ON 10/24/2025

What are the responsibilities and job description for the Sr. DFT Design Engineer, AWS Machine Learning Acceleration position at Annapurna Labs (U.S.) Inc.?

Job Details

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

As a member of the Silicon Optimization Engineering Team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities
Develop, implement and verify state-of-the-art Design for Test (DFT) architectures
Work with block designers to integrate DFT implementations
Work with physical design team to setup and implement DFT insertion flow
Develop high coverage and cost effective DFT methodologies
Perform RTL coding and Verification
Participate in Silicon debug and write scripts to effectively handle ATE related data
Communicate and work with team members across multiple disciplines

About the team
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

BASIC QUALIFICATIONS

- BS degree in EE, CE, or CS
- 5 years of practical DFT experience with large processor and/or SoC designs
- Knowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time
- Experience with automation script development

PREFERRED QUALIFICATIONS

- MS degree in EE, CE or CS
- Good breadth of knowledge in chip design from micro-architecture through physical design
- Good knowledge of design verification (DV) simulation methodologies
- Experience with large gate-level simulation setup and debug with SDF
- Strong programming and scripting skills in Perl, Python or Tcl
- Experience with industry standard DFT/SCAN/ATPG tools
- Experience with STA constraints development and analysis for DFT modes
- Practical experience with silicon debug

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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Salary : $143,300 - $247,600

If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a Sr. DFT Design Engineer, AWS Machine Learning Acceleration?

Sign up to receive alerts about other jobs on the Sr. DFT Design Engineer, AWS Machine Learning Acceleration career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$92,295 - $114,898
Income Estimation: 
$123,565 - $153,647
Income Estimation: 
$73,784 - $86,677
Income Estimation: 
$90,372 - $103,622
Income Estimation: 
$61,825 - $80,560
Income Estimation: 
$90,032 - $105,965
Income Estimation: 
$85,996 - $102,718
Income Estimation: 
$85,996 - $102,718
Income Estimation: 
$111,859 - $131,446
Income Estimation: 
$110,457 - $133,106
Income Estimation: 
$105,809 - $128,724
Income Estimation: 
$122,763 - $145,698
Income Estimation: 
$105,809 - $128,724
Income Estimation: 
$136,611 - $163,397
Income Estimation: 
$135,163 - $163,519
Income Estimation: 
$131,953 - $159,624
Income Estimation: 
$150,859 - $181,127
Income Estimation: 
$131,953 - $159,624
Income Estimation: 
$169,825 - $204,021
Income Estimation: 
$166,631 - $195,636
Income Estimation: 
$162,237 - $199,353
Income Estimation: 
$181,083 - $218,117
This job has expired.
Employees: Get a Salary Increase
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at Annapurna Labs (U.S.) Inc.

  • Annapurna Labs (U.S.) Inc. Seattle, WA
  • DESCRIPTION AWS Trainium is deployed at scale, with millions of chips in production, and has been used for training and inference of frontier models. AWS N... more
  • 11 Days Ago

  • Annapurna Labs (U.S.) Inc. Cupertino, CA
  • DESCRIPTION We are hiring a hands-on Software Development Manager for the team that owns the network stack for EC2 distributed AI/ML systems. The team deve... more
  • 15 Days Ago

  • Annapurna Labs (U.S.) Inc. Cupertino, CA
  • DESCRIPTION When a new Trainium or Inferentia chip comes back from the fab, our code is the first software to touch it. We're looking for a hands-on engine... more
  • 1 Day Ago

  • Annapurna Labs (U.S.) Inc. Cupertino, CA
  • DESCRIPTION AWS Utility Computing (UC) provides product Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innov... more
  • 3 Days Ago


Not the job you're looking for? Here are some other Sr. DFT Design Engineer, AWS Machine Learning Acceleration jobs in the Austin, TX area that may be a better fit.

  • Amazon Austin, TX
  • Description Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges th... more
  • 1 Month Ago

  • Amazon Austin, TX
  • Description Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration tea... more
  • 29 Days Ago

AI Assistant is available now!

Feel free to start your new journey!