Staff Engineer – Hbm Pe Component Validation

Job Description Key Responsibilities Validation Execution Lead end‑to‑end Validation Run execution in a high‑pressure, fast‑paced environment , ensuring on‑schedule starts/completions , risk‑aware re‑plans , and efficient IQP/ETV material usage . Own time‑bound data crunching pipelines (automated log parsing, metrics aggregation, anomaly ranking) and deliver decision‑ready summary reports and sightings by agreed Cycle Time. Guarantee coverage completeness across MBIST and flows; drive Hot/Cold corners , TSV screen/AQLK , async timing boundary coverage, and evidence‑backed closure . Platform Leadership Develop and debug test programs on SM3/Cobra and Advantest V93K ; enforce code quality, reviews, and release discipline. Align hardware configs ( handler, socket, loadboard, probe card ) to test intent and throughput targets. Advanced Analysis, Verilog Simulation & Automation Perform power/thermal characterization ; correlate IDD/thermal data with performance/reliability; author recommendations for content changes and silicon fixes. Architect and execute Verilog simulations (bench creation, stimulus, checkers, waveform analysis) to replicate platform sightings, validate hypotheses, and de‑risk content changes before deployment. Build automation scripts and dashboards for anomaly detection, trend analysis, and coverage auditing. Debug & Continuous Improvement Lead silicon debug across Design, Verification, Quality, and System Engineering ; drive corrective action closure with clear root‑cause evidence. Implement cycle‑time optimization strategies (parallelization, smarter sampling, content pruning, throughput tuning). Contribute to DFMEA gap closure and codify “ Definition of Success ” for validation quality. Mentorship & Collaboration Coach junior engineers on validation best practices, platform nuances, simulation methodology , and reporting standards. Partner with global teams (Boise, Folsom, Hyderabad, Taiwan) for material readiness and platform enablement. Artificial Intelligence Using, applying and leveraging AI, identify opportunities to streamline workflows, optimize processes, and support innovation by incorporating AI-driven solutions and enabling data-driven decision making across projects and teams. Minimum Requirements Bachelor’s/Master’s in Electrical or Computer Engineering (or related). 8+ years in DRAM/HBM/NAND validation or product engineering. At least 2 years of HBM Validation experience. Test platform code development in C/C++ , Python , and APG (Algorithmic Pattern Generator) . Strong expertise in MBIST (SM3/Cobra) and Mode (Advantest V93K) testing. Verilog simulation expertise (bench architecture, stimulus/checkers, waveform/log analysis, correlation to platform behavior). Proven ability to execute ValRuns and perform high‑speed I/O validation with eye/IDD characterization . Advanced scripting and data analytics skills; Confluence/Jira and Git/Perforce experience. Preferred Skills Linux programming experience; familiarity with UVM and version control systems ( Git/SVN ). Comfortable with lab equipment (oscilloscopes, logic analyzers). Experience defining CS/QS shmoo targets , async timing boundaries , and coverage‑driven acceptance criteria. Familiarity with automation and ML‑driven validation workflows (e.g., anomaly classifiers, trend predictors).