Staff Engineer, Post Silicon Validation

Responsibilities

• Lead the application of AI/ML techniques to improve post-silicon workflows, including adaptive characterization, anomaly detection, and automated regression triage
• Integrate AI/ML technologies such as classical ML, time-series analysis, and agentic AI systems for lab automation and test orchestration
• Serve as a technical bridge between silicon/test engineers and internal ML specialists or external vendors
• Develop reference workflows, reusable frameworks, and guidelines for AI-assisted evaluation and characterization
• Mentor engineers on modern post-silicon data analysis and the practical use of AI tools in lab and ATE environments
• Evaluate and prototype AI-enabled tools to reduce measurement effort and shorten time-to-confidence in silicon

Requirements

• 8+ years of hands-on experience in post-silicon test, evaluation, characterization, or validation of ASICs or SoCs
• Deep practical experience with mixed-signal or high-speed digital blocks (e.g., ADCs/DACs, PLLs, SERDES, or high-speed IO)
• Strong understanding of silicon bring-up, measurement instrumentation, and ATE-based test flows
• Proficiency in Python-based analysis environments
• Experience applying ML techniques to real measurement data, including statistical modeling and pattern recognition
• Proven ability to debug silicon issues with limited observability and noisy data

Preferred Qualifications

• Experience with adaptive or data-driven characterization, yield learning, or post-silicon tuning
• Exposure to reinforcement learning, Bayesian optimization, or active learning applied to engineering problems
• Familiarity with RF test and characterization (EVM, phase noise, jitter, BER)
• Experience with lab automation platforms or AI-assisted debug and analysis tools

About the Company

Analog Devices, Inc. (ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that drive advancements in digitized factories, mobility, and digital healthcare.