From Amazon's posting. “We” and “our” refer to the employer.
AWS-Annapurna Labs 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 the best hardware platform for our customers to run training and inference workloads.
We are seeking a Senior Silicon Yield Product Engineer to take full ownership of a product's yield across one or more test insertions — from wafer sort through package final test, system level test, and downstream card/server/fleet test. You will set the yield strategy for your product by identifying and prioritizing the cost and quality activities, aligning requirements with key stakeholders, and directing the work of other engineers to deliver against them.
You will engage foundry, OSAT, DFT, supply chain, test, manufacturing, and system validation partners at a strategic level to define the cost, schedule, and resource models required to bring a new product to production. Because our final product is a server, not just the silicon, you will routinely stretch beyond traditional silicon product engineering boundaries — solving complex, cross-organizational problems that no single team owns.
Strong analytical and problem-solving skills, deep knowledge of semiconductor manufacturing processes, and expertise in statistical analysis are essential.
Key job responsibilities
Own the end-to-end yield of one or more products across wafer sort, final test, SLT, driving both systematic yield improvement and excursion response to targets you help define.
Identify and address customer quality issues by monitoring downstream yields and quality from card test through customer utilization in production.
Identify and prioritize cost, quality, characterization activities, and assign and coordinate the work across a team of engineers.
Align product requirements with key stakeholders, and define and drive the cost, schedule, and resource requirements to successfully deliver a new product to production.
Create new tools and analysis flows to keep pace with the rising complexity of Machine Learning products, and evaluate new tools and systems offered by external vendors.
Engage strategically with DFT, supply chain, test, manufacturing, quality, foundry, and OSAT teams as a trusted resource counted on to solve complex problems requiring cross-organizational expertise.
Lead functional and structural test coverage improvements at ATE and system through DOE planning and targeted characterization.
Mentor junior engineers, identify knowledge and skill gaps within the team, and define growth paths for individuals and the organization.
Basic Qualifications
Bachelor's degree in Electrical Engineering or a related field
7+ years of semiconductor industry experience as a product/test engineer analyzing test data, including ownership of yield or test for a product at one or more insertions
Experience using Python or other scripting languages for data analysis and automation
Strong analytical and problem-solving skills
Demonstrated ability to drive cross-functional initiatives and influence stakeholders without direct authority
Preferred Qualifications
Experience owning yield and performance optimization at system or ATE test on advanced FINFET nodes across a full product lifecycle
Deep understanding of ATE test content (Scan, BIST, Functional, IO tests) and experience defining test limits and screening methodologies based on characterization
Experience with power and performance characterization on high-performance chips
Experience defining cost, schedule, and resource models for new product introduction (NPI)
Knowledge of usage of ATPG scan diagnostics and SRAM bitmap analysis for FA and yield debug.
Proficiency in statistical analysis tools (JMP, Python) and automation for semiconductor test data.
Experience building automated analysis systems and interactive dashboards for yield and quality monitoring.
Experience mentoring engineers and evaluating vendor tools/systems
Familiarity with AWS services (SageMaker, S3, QuickSight, etc.) and ability to use these for automation
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 185,200.00 - 250,000.00 USD annually
About this listing
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