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 cloud innovation, providing foundational services like S3 and EC2. Within UC, Annapurna Labs designs cutting-edge silicon and software solutions that power AWS's cloud infrastructure. This role is part of the Silicon Optimization Engineering Team, focusing on Design for Test (DFT) architecture and implementation.
As a DFT Design Engineer, you'll be responsible for developing and implementing state-of-the-art test architectures for complex processor and SoC designs. You'll work closely with block designers and physical design teams to integrate DFT implementations and establish efficient test methodologies. The role requires expertise in RTL coding, verification, and silicon debug, with a focus on creating high-coverage, cost-effective testing solutions.
The position offers unique challenges in pushing the boundaries of what's possible in cloud computing hardware. You'll be working with thought leaders across multiple technology areas, contributing to innovations that help AWS customers solve previously impossible challenges. The fast-paced environment demands high standards and continuous improvement in product performance, quality, and cost optimization.
AWS provides a supportive and inclusive work environment, emphasizing work-life harmony and professional growth. The company values diverse experiences and perspectives, offering various employee-led affinity groups and ongoing learning opportunities. Whether you're participating in Conversations on Race and Ethnicity (CORE) or AmazeCon conferences, you'll find a culture that celebrates uniqueness and innovation.
The role offers extensive mentorship and career development resources, helping you grow into a well-rounded professional. AWS's commitment to becoming Earth's Best Employer means continuous investment in employee development and workplace culture. Even if your career path has been non-traditional or you're just starting out, AWS values diverse experiences and encourages all qualified candidates to apply.
Working at AWS means being part of a team that's revolutionizing cloud computing while maintaining a strong focus on customer success. You'll have the opportunity to work on cutting-edge technology while being supported by a company that values both professional excellence and personal well-being.
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 handle ATE related data
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
- Work-life balance
- Mentorship and career growth opportunities
- Employee-led affinity groups
- Inclusive team culture
Jobs Related To Annapurna Labs (U.S.) Inc. DFT Design Engineer, AWS Machine Learning Acceleration
