DFT Design Engineer, AWS Machine Learning Acceleration
Description For DFT Design Engineer, AWS Machine Learning Acceleration
AWS Utility Computing (UC) is at the forefront of product innovation in cloud services, specializing in Compute, Database, Storage, Platform, and Productivity Apps services. As part of Annapurna Labs within AWS UC, you'll join a team designing cutting-edge silicon and software solutions that push the boundaries of cloud computing. The Silicon Optimization Engineering Team focuses on hardware design and optimization in AWS data centers, working with custom chips, accelerators, and software stacks to solve unprecedented technical challenges.
The role combines hardware expertise with cloud computing innovation, requiring strong technical skills in Design for Test (DFT) architectures and implementations. You'll work in a fast-paced environment alongside thought leaders, maintaining high standards while constantly seeking ways to improve product performance, quality, and cost.
AWS values diverse experiences and fosters an inclusive culture through employee-led affinity groups and ongoing learning opportunities. The team emphasizes knowledge-sharing and mentorship, supporting both new and experienced members in their professional growth. Work-life harmony is prioritized, ensuring success at work doesn't compromise personal life.
As a global leader in cloud computing, AWS powers hundreds of thousands of businesses across 190 countries, with data centers in the U.S., Europe, Singapore, and Japan. This position offers exposure to Amazon's growing suite of generative AI services and various cloud computing solutions, making it an excellent opportunity for those passionate about pushing technological boundaries and delivering world-class customer experiences.
Responsibilities For DFT Design Engineer, AWS Machine Learning Acceleration
- 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
Requirements For DFT Design Engineer, AWS Machine Learning Acceleration
- 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
- Experience with automation script development
Benefits For DFT Design Engineer, AWS Machine Learning Acceleration
- Career growth opportunities
- Mentorship programs
- Work-life harmony
- Inclusive team culture
- Employee-led affinity groups
- Knowledge sharing environment
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