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 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 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 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
Diversity
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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