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

Itlearn360

Austin (TX)

On-site

USD 100,000 - 150,000

Full time

8 days ago

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Job summary

A leading company in cloud computing is seeking a DFT Design Engineer for its Austin office. This role involves designing and optimizing hardware for data centers, with responsibilities centered around DFT methodologies and collaboration with multi-disciplinary teams. Candidates should possess relevant educational backgrounds and practical experience in DFT tools. Join a team committed to innovation and excellence in technology.

Benefits

Flexible work hours
Mentorship programs
Inclusive team culture

Qualifications

  • 3+ years of practical DFT experience with large processor and/or SoC designs.
  • Knowledge of industry-standard DFT tools and practices.
  • Experience collaborating with block designers and physical design teams.

Responsibilities

  • Develop, implement, and verify state-of-the-art DFT architectures.
  • Collaborate with designers to integrate DFT implementations.
  • Perform RTL coding and verification.

Skills

DFT methodologies
RTL coding
Communication
Automation script development

Education

BS degree in EE, CE, or CS

Tools

ATPG
JTAG
MBIST

Job description

DFT Design Engineer, AWS Machine Learning Acceleration job at 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 continuously released new product innovations that 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 requiring specialized security solutions for their cloud services. Annapurna Labs designs silicon and software that accelerates innovation, creating cloud solutions for challenges previously unimaginable. Our custom chips, accelerators, and software stacks enable tackling technical challenges never seen before, delivering results that help our customers change the world.

As part of the Silicon Optimization Engineering Team, you’ll be responsible for designing and optimizing hardware in our data centers. You’ll lead the application of new technologies to large-scale server deployments, aiming to deliver a world-class customer experience. This fast-paced, intellectually challenging role involves working with thought leaders across multiple technology areas. You’ll uphold high standards for yourself and your team, constantly seeking ways to improve product performance, quality, and cost. We are transforming an industry, and we seek individuals eager for this challenge and to push beyond current limits.

Key job responsibilities
  • Develop, implement, and verify state-of-the-art Design for Test (DFT) architectures
  • Collaborate with block designers to integrate DFT implementations
  • Work with the physical design team to set up 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 handle ATE-related data effectively
  • Communicate and collaborate with team members across multiple disciplines
About the team

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive cloud platform, pioneering cloud computing and continuously innovating. Our suite of products and services powers businesses worldwide, from startups to Global 500 companies.

Inclusive Team Culture: At AWS, we foster a culture of inclusion through employee-led affinity groups, ongoing learning events like Conversations on Race and Ethnicity (CORE) and AmazeCon, celebrating our differences.

Work/Life Balance: We value flexibility and strive to support work-life harmony, believing that success at work should not come at home’s expense.

Mentorship and Career Growth: We are committed to raising our performance standards, offering mentorship and resources to help you develop professionally.

Diverse Experiences: We encourage candidates from diverse backgrounds and experiences to apply, even if you do not meet all preferred qualifications.

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