Principal Engineer - Memory Circuit Design Verification

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Key Responsibilities

• 12+ years in Design Verification (experience with DDR/GDDR/DDR memory Verification is preferred)
• Define and drive verification architecture and methodology for next generation DDR designs.
• Develop verification plans, coverage strategies, and sign-off criteria.
• Architect and implement UVM-based testbenches and reusable verification components.
• Collaborate strictly with build teams to ensure verification completeness and quality.
• Mentor and guide verification engineers on guidelines and advanced methodologies.
• Evaluate and integrate AMS Co-Simulation techniques for mixed-signal IP verification.
• Work closely with EDA vendors to adopt the latest tools and flows.
• Leverage AI/ML tools to improve verification efficiency and debug turnaround time
• Develop or utilize AI-assisted regression analysis tools for failure classification

Apply data-driven techniques to identify patterns in verification failures and silicon risks

• Contribute to automation initiatives such as Intelligent test generation, predictive coverage gap analysis, AI-driven waveform/debug analytics

Required Skills & Qualifications

• Expert-level proficiency in SystemVerilog, UVM, and advanced verification methodologies.
• Familiarity with AMS Co-Simulation and mixed-signal verification flows (preferred).
• Hands-on experience with simulation, coverage analysis, and regression management.
• Excellent problem-solving, debugging, and analytical skills.
• Proven ability to lead verification teams and influence technical direction.

• Exposure to Python/TCL/Perl scripting for automation.
• Effective cross-team communication
• Ownership mindset and ability to drive closure independently
• Interest in innovation and continuous improvement
• Exposure to AI/ML concepts such as Supervised learning, clustering, anomaly detection
• Familiarity with AI-assisted EDA tools OR internal AI platforms
• Understanding of Applying AI for verification optimization / bug prediction

Education

Bachelor’s/Master’s or PhD degree or equivalent experience in Electrical Engineering, Computer Engineering, or a related field.