Staff Engineer, Post-Silicon Validation (AI-Enabled Workflows)
Core
Lead the application of AI-enabled techniques to post-silicon test, evaluation, and characterization across mixed-signal and SoC products to reduce measurement effort and shorten time-to-confidence.
Role type
Staff Engineer, Post-Silicon Validation (AI-Enabled Workflows)
Builds
Reference workflows, guidelines, reusable frameworks, and AI-enabled tools for silicon evaluation and characterization.
Domain
Semiconductor / Mixed-signal and SoC / Post-silicon validation / AI/ML in engineering
Deliverable
production ML models | product features
Required skills
Post-silicon test and characterization, Mixed-signal and high-speed digital blocks, Silicon bring-up, Measurement instrumentation, ATE-based test flows, Debugging silicon issues with limited observability, Statistical modeling and pattern recognition, Python-based analysis, Cross-functional technical leadership
Preferred skills
Adaptive or data-driven characterization, Reinforcement learning and Bayesian optimization, RF test and characterization, Lab automation platforms, AI-assisted debug tools
Technologies
Python, Classical ML (clustering, regression, Bayesian methods), Time-series and waveform analysis, Agentic AI systems
Responsibilities
Identify high-leverage opportunities for AI/ML in post-silicon workflows, Apply and integrate existing AI/ML technologies, Serve as a technical bridge between silicon/test engineers and ML specialists, Evaluate and prototype AI-enabled tools, Develop reference workflows and guidelines, Create reusable frameworks, Mentor engineers on modern data analysis techniques
Seniority
Staff, hands-on IC with broad cross-functional influence
