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DFT Design Engineer, AWS Machine Learning Acceleration at Annapurna Labs; U.S.) Inc. Austin, TX

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Itlearn360
Full Time position
Listed on 2026-02-23
Job specializations:
  • Engineering
    Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: DFT Design Engineer, AWS Machine Learning Acceleration at Annapurna Labs (U.S.) Inc. Austin, TX

DFT Design Engineer, AWS Machine Learning Acceleration

Location:

Annapurna Labs (U.S.) Inc., Austin, TX.

DESCRIPTION

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.

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
BASIC QUALIFICATIONS
  • BS degree in EE, CE, or CS
  • 3+ 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
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.

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 Amaze Con (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.

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.

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