Senior Engineer – HBM PE Component Validation
类别
技能
职位描述
Key Responsibilities
HBM Validation Execution
Execute Validation Runs on IQP/ETV materials in a high‑pressure, fast‑paced environment, meeting tight start/finish windows, material utilization plans, and readiness checkpoints.
Deliver time‑bound data crunching (log parsing, statistical summaries, anomaly triage) and publish concise, high‑quality summary reports/sightings by agreed TAT (turnaround time) targets.
Ensure coverage completeness across MBIST and Native Mode flows; perform Hot/Cold corners, TSV screen/AQLK, and async timing boundary checks.
Platform Expertise
- Operate and debug programs on SM3/Cobra (MBIST) and Advantest V93K (Native).
Support hardware readiness: handler, socket, loadboard, probe card coordination aligned to test intent.
Technical Analysis & Verilog Simulation
Validate high‑speed I/O (≥10 Gbps); perform eye diagram, jitter, and signal integrity checks under P/V/T corners.
Measure IDD power profiles and thermal behavior under realistic stress conditions.
Develop/execute Verilog testbenches and simulations to reproduce/triage sightings, correlate bench and platform behavior, and inform content fixes.
Data & Automation
Review logs, crunch data, and automate workflows using Python/Perl.
Maintain documentation in Confluence/Jira and version control in Git/Perforce.
Debug & Collaboration
Assist in root‑cause analysis and corrective action closure with Design, DV, QA, GQ, TSE.
Create and deliver technical presentations; participate in cross‑site meetings for silicon readiness.
Minimum Requirements
Bachelor’s in Electrical or Computer Engineering (or related).
5+ 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).
Hands‑on experience with MBIST (SM3/Cobra) and Native Mode (Advantest V93K) testing.
Verilog simulation experience (writing testbenches, running sims, interpreting waveforms/logs).
Familiarity with high‑speed I/O validation and power/thermal characterization.
Proficiency in scripting (Python/Perl) and data analysis tools; strong communication and presentation skills.
Preferred Skills
Linux programming experience; familiarity with UVM, and version control systems (Git/SVN).
Comfortable with lab equipment (oscilloscopes, logic analyzers).
Experience with CS/QS shmoo targets and async timing coverage.
Exposure to DFMEA gap closure and operational excellence practices.