Amazon

Post-Silicon Product Engineer, Silicon Systems Group

Job Description

Come join Amazon Devices and work within Amazon Lab126, where top engineers, researchers, and scientists invent, design, and build Amazon's new consumer electronics devices and services. Amazon Lab126 has produced the best-selling Kindle devices, the ground breaking Fire tablets and Fire TV, and the revolutionary Echo.

We are seeking a seasoned Senior Post-Silicon Product Engineer to lead and execute critical post-silicon validation, characterization, and production ramp activities for our advanced semiconductor products. This role demands a deep understanding of the semiconductor product lifecycle, from initial silicon bring-up to high-volume manufacturing, ensuring product performance, quality, and reliability meet the highest standards.

Our final product is a complete consumer electronics system, not just the silicon. As a Post-Silicon Product Engineer, you'll go beyond traditional product engineering boundaries to address system-level challenges—offering rich opportunities to understand and influence system architecture and end-user performance.


Key job responsibilities

Post-Silicon Validation & Characterization:
• Lead the bring-up and characterization of new silicon, ensuring functionality and performance meet design specifications.
• Develop and execute detailed validation plans, including defining test methodologies, coverage metrics, and corner conditions.
• Define and validate silicon and ATE-level test coverage, ensuring comprehensive validation aligned with customer application scenarios.

Data Analysis & Yield Improvement:
• Analyze data from WAT, wafer sort, ATE, and system-level tests to identify trends, anomalies, and systematic issues.
• Implement automation pipelines for data analysis across the test flow to improve traceability, root-cause identification, and feedback into design and test.
• Develop and implement strategies that align test environments and methodologies with defined yield, quality, and performance objectives.
• Apply advanced data analytics—including regression, correlation, and predictive modelling—to optimize test efficiency and drive yield improvements.

Test Development & Optimization:
• Collaborate with design and test engineering teams to develop and optimize test programs for wafer and package-level testing.
• Partner with ATE engineers to debug test failures, refine test coverage, and identify limitations in test hardware/software infrastructure.
• Lead test time reduction and cost optimization initiatives while maintaining required test coverage and quality standards.

Cross-Functional Collaboration:
• Collaborate with Design, SoC, DFT, Reliability, Quality, and Manufacturing teams to resolve silicon issues and support successful product ramp.
• Lead structured failure analysis and root cause investigations to address quality, reliability, and customer-return issues.
• Coordinate with cross-functional leaders to ensure alignment on key product KPIs such as yield, DPPM, quality escapes, and production readiness.

Documentation & Reporting:
• Generate comprehensive engineering reports detailing validation results, failure analyses, and recommended actions.
• Maintain accurate records of test methodologies, data analyses, and process changes.• Bachelor's or Master's degree in Electrical Engineering or a related field.
• Minimum 8 years of experience in post-silicon validation, product engineering, or semiconductor development roles.
• Strong understanding of semiconductor testing methodologies, including ATE, wafer sort, and SLT.
• Hands-on experience with silicon bring-up, validation, characterization, and debug.
• Proficiency in data analysis tools such as JMP, Python, and SQL.
• Familiarity with statistical methods such as SPC, CPK, DOE, and other yield improvement methodologies.
• Strong problem-solving skills, including root cause analysis across silicon, package, and system levels.
• Excellent written and verbal communication skills, with the ability to document complex technical findings clearly.
• Experience working in high-volume manufacturing environments, supporting NPI (New Product Introduction) to mass production transition.


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