Senior Product Development Engineer, Annapurna Labs Silicon Operations

• 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.
• 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
• 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
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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