Silicon Yield Product Engineer, Annapurna Silicon Operations - Buda Texas

Company: Annapurna Labs (U.S.) Inc.
Location: Buda, Texas
Posted On: 04/24/2024

AWS-Annapurna team develops the silicon used in our most advanced machine learning accelerator servers at cutting edge process nodes. These SOCs are used in massively scaled server clusters to provide best hardware platform for our customers to run training and inference workloads. We are seeking an experienced Silicon Yield Product engineer with expertise in yield debug on leading edge process technology nodes. This experienced engineer will be responsible for optimizing manufacturing process with foundry partners to improve yield and performance of our machine learning chips. They will interact with ATE, Systems test teams and Silicon design teams to identify systematic yield issues and work on debug to find root cause. This role involves collaborating with various teams to develop innovative solutions to optimize yield and performance for our products. Strong analytical and problem solving skills, knowledge of semiconductor manufacturing process and expertise in statistical analysis are essential for success in this role. Our final product is a server, not just the silicon, so you will find yourself stretching beyond traditional silicon product engineering boundaries and dealing with various system issues and data sets, providing ample opportunities to learn.About the teamInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.We are open to hiring candidates to work out of one of the following locations:Austin, TX, USA
BASIC QUALIFICATIONS- Bachelors or Masters in Electrical or Computer engineering- 5+ years of experience working with FINFET foundry silicon manufacturing processes and optimizing product yields- 5+ years of experience conducting data analysis of foundry WAT data, ATE test data using tools like JMP, Python etc.
PREFERRED QUALIFICATIONS- Experience working on yield and process targeting optimization for latest FINFET technology nodes.- Deep understanding of fab process flow and ability to drive corrective actions based on ATE test, WAT and inline data analysis.- Ability to define data needed to root cause systematics and build models to predict yield and performance.- Basic understanding of fault isolation and failure analysis techniques.- Proficient in test data analysis and statistics using tools like JMP and Python.- Good understanding of ATE test content to drive debug for SCAN ATPG and SRAM yield issues with effective diagnostics data analysis.- Experience driving corrective actions across cross-functional teams to fix and root-cause systematic yield issues and improve product yield and cost. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. More...

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