Silicon Yield Product Engineer, Annapurna Silicon Operations
Company: Annapurna Labs (U.S.) Inc.
Location: Round Rock
Posted on: April 23, 2024
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Job Description:
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.
Keywords: Annapurna Labs (U.S.) Inc., Pflugerville , Silicon Yield Product Engineer, Annapurna Silicon Operations, Engineering , Round Rock, Texas
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