Engineer – HBM PE Component Validation

Job Description

Responsibilities

• Validation Execution

• Assist in executing Validation Runs on IQP/ETV materials under defined timelines, ensuring coverage completeness across MBIST and Native Mode flows.
• Support time-bound data crunching (log parsing, statistical summaries) and contribute to summary report preparation.
• Platform & Test Program Support
• Operate and debug programs on SM3/Cobra (MBIST) and Advantest V93K (Native).
• Assist in hardware readiness: handler, socket, loadboard, and probe card setup.
• Technical Analysis & Simulation
• Validate high-speed I/O (>11 Gbps) and assist with eye diagram and signal integrity checks.

• Support Verilog simulation tasks (testbench execution, waveform review) to reproduce sightings and validate fixes.

• Data & Automation

• Develop basic scripts in Python for log parsing and data visualization.
• Maintain documentation in Confluence/Jira and version control in Git/Perforce.

• Debug & Collaboration

• Participate in root cause analysis sessions and assist in corrective action closure.

• Collaborate with cross-functional teams (Design, DV, QA, GQ) and attend technical meetings.

Minimum Qualifications

• Bachelor’s in Electrical or Computer Engineering (or related) with Experience or MS in EE/CE

• 2+ years experience in semiconductor validation or product engineering (DRAM/HBM preferred).

• Exposure to HBM Validation concepts and flows.

• Basic experience in test platform code development (C/C++, Python) and familiarity with APG (Algorithmic Pattern Generator).

• Understanding of MBIST and Native Mode testing platforms.

• Verilog simulation exposure (running testbenches, interpreting waveforms).

• Strong analytical and problem-solving skills; ability to work in a fast-paced environment.
  

  Preferred Skills

  • Familiarity with Linux environment and version control systems (Git/SVN).

  • Comfortable with lab equipment (oscilloscopes, logic analyzers).

  • Knowledge of DRAM/HBM architecture and datasheet interpretation.

  • Interest in automation and continuous improvement initiatives.