Intern - Design Verification (AI/ML Engineer)

Micron Technology • San Jose, CA

1d • $47 - $56

About The Position

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. As an Intern – AI/ML Engineer at Micron Technology, Inc., you will be a technical individual contributor focused on applying machine learning, data‑driven techniques, and AI‑based automation to complex problems in NAND Flash controller design and verification. In this highly visible and impactful role, you will work at the intersection of AI/ML, silicon design, and verification workflows, developing intelligent tools and models that improve debug efficiency, coverage closure, and root‑cause analysis for on‑chip controllers and mixed‑signal systems. Rather than performing traditional verification ownership, you will augment and accelerate existing DV and design flows using AI/ML techniques, while demonstrating foundational knowledge of RTL, firmware, and chip architectures. This role is ideal for candidates interested in applying AI/ML techniques to real‑world silicon design and verification challenges, rather than traditional standalone data science problems

Requirements

• Bachelor’s or Master’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
• Background or coursework in Machine Learning, AI, Data Science, or Systems strongly preferred
• Prior experience or academic projects involving hardware‑software interaction or AI applied to systems.

Nice To Haves

• AI / ML: Strong foundation in machine learning, data science, or applied AI.
• Experience with Python and common ML/data libraries (e.g., NumPy, pandas, scikit‑learn, PyTorch, TensorFlow).
• Familiarity with model evaluation, dataset creation, and feature engineering.
• Silicon / Systems (Working Knowledge): Basic to intermediate understanding of digital design concepts (RTL, finite state machines, pipelines, memory controllers).
• Familiarity with SystemVerilog / Verilog or SVA or UVM at a conceptual or usage level (deep DV expertise not required).
• Exposure to simulation, logs, waveforms, or coverage data.
• Automation & Scripting: Proficiency in Python; experience with Perl, Tcl, or shell scripting.
• Experience building automation pipelines or tooling in an engineering environment.

Responsibilities

• AI/ML & Data‑Driven Development: Design, develop, and evaluate AI/ML models to analyze large‑scale simulation, regression, and debug data (logs, waveforms, coverage, assertion failures).
• Build ML‑based classification, clustering, or ranking models for failure triage, anomaly detection, and root‑cause identification.
• Develop agentic or workflow‑driven AI solutions that integrate with existing verification and debug pipelines.
• Create datasets and features from RTL, simulation artifacts, firmware traces, and verification metadata.
• Tooling & Automation: Implement and enhance Python‑based automation frameworks for data extraction, preprocessing, training, and inference.
• Integrate AI/ML solutions with existing DV tools, simulators, and infrastructure.
• Prototype dashboards, reports, or visualizations to communicate model outputs and insights to engineers.
• Silicon & Verification Context: Collaborate with Design, Verification, and Firmware teams to understand controller architecture, RTL behavior, and verification methodologies like UVM.
• Leverage knowledge of SystemVerilog, assertions, and simulation flows to contextualize AI/ML solutions (hands‑on RTL development is not the primary responsibility).
• Assist in improving verification efficiency through intelligent test prioritization, coverage analysis, or debug guidance.
• Collaboration & Communication: Work multi-functionally with AI, DV, Design, and Infrastructure teams.
• Present results, insights, and prototypes to technical partners.
• Contribute to standardization and procedures for AI‑assisted silicon workflows.

Benefits

• Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future.
• We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget.
• Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave.
• Additionally, Micron benefits include a robust paid time-off program and paid holidays.
• For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern