Micron Technology

Principal Design Engineer

Micron Technology$176K — $298K *
Manufacturing & Automotive
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Electrical Engineering or related field with 8+ years of IC design experience.
  • Hands-on experience with AI tools as a routine part of engineering work.
  • Proven ability to redesign workflows around AI capabilities.
  • Deep understanding of high-speed IO circuit performance and chip architecture.
  • Experience in physical design flows and layout optimization.

Responsibilities

  • Lead the design and optimization of innovative datapath circuits for NAND flash memory.
  • Integrate AI tools into daily engineering tasks to enhance productivity.
  • Redesign existing engineering workflows to make AI a core component.
  • Drive AI adoption and evaluate new AI tools to improve workflows.
  • Collaborate with multi-functional teams to define specifications and reconcile inconsistencies.
  • Mentor team members on AI methodologies and design thinking.

Benefits

  • Medical, dental, and vision plans tailored to family healthcare needs.
  • Income protection programs for illness or injury.
  • Paid family leave and a robust paid time-off program.
  • Paid holidays and benefits designed for personal wellbeing and professional growth.
Full Job Description
As a Principal Design Engineer in NVEG, you will lead the development, layout, and optimization of innovative datapath circuits for next-generation NAND flash memory, with AI utilization as a central pillar of how you work! You are expected to apply AI tools every day to accelerate design exploration, layout iteration, verification, and multi-functional communication, and - equally important - to redesign existing engineering workflows so that AI can be inserted where it delivers the highest leverage! You will act as a key technical leader, driving task forces, making architectural decisions to hit aggressive data-rate and power targets, and setting the standard for how an AI-augmented design engineer operates. Beyond individual productivity, you will mentor the team on how to think, plan, and implement in an AI-first environment.

What's Encouraged Daily:
  • AI Driven Daily Execution: Use AI tools (LLM-based assistants, code and RTL generation, spec parsing, waveform interpretation, layout suggestion engines) as a default part of daily engineering work. Continuously identify tasks where AI can replace, accelerate, or augment manual effort, and embrace new tools rapidly as they emerge.
  • Workflow Redesign for AI:Rearchitect existing design, verification, and debug workflows so that AI is a first-class participant, not a bolt-on. This includes restructuring specification documents, simulation setups, review checklists, and hand-off artifacts to be AI-consumable; building prompt libraries, agents, and scripts that automate recurring engineering patterns; and defining new review and sign-off flows that leverage AI-generated analysis.
  • AI Capability Leadership: Serve as a technical champion for AI adoption within the design team. Evaluate emerging AI tools and frontier models, run pilots, publish internal standard methodologies, and drive team-wide adoption of workflows that measurably reduce cycle time or improve design quality.
  • Technical Ownership: Manage, design, and verify major IO/datapath blocks (input receiver, serializer, deserializer, clock distribution, equalizer, ZQ calibration, ONFI training features, wave pipelines) to rigorously meet performance specifications - employing AI-assisted exploration, sizing, and verification wherever it accelerates convergence.
  • Multi-functional Integration: Collaborate closely with project integration and other functional design teams to define and negotiate block interface specifications. Use AI to summarize discussions, reconcile specs across teams, and surface inconsistencies early.
  • Customer & Systems Alignment: Liaise with Applications Engineering (Apps) to evaluate new specifications, balancing customer needs against design and physical constraints. Use AI to accelerate feasibility studies and quantify trade-offs.
  • Mentorship & Review: Document AI-augmented methodologies, present final results to expert panels and team members, and mentor new engineers on how to think and work in an AI-first environment - not just which tools to click.

Minimum Qualifications:
  • Bachelors or Masters degree in Electrical Engineering or a related field with 8+ years of relevant IC design experience.
  • Demonstrated, hands-on use of AI tools (LLM-based assistants, coding copilots, agentic workflows, or ML-based EDA aids) as a routine part of daily engineering work. Candidates must be able to describe concrete examples where AI meaningfully changed their productivity or design outcome.
  • Proven track record to redesign or create engineering workflows around AI capabilities - for example, restructuring specs, review flows, or verification pipelines so that AI can operate on them effectively; building custom prompts, scripts, or agents that automate recurring engineering tasks.
  • Good knowledge and deep intuitive understanding of high-speed IO circuit performance, power/area optimization, and top-level chip architecture/floorplanning.
  • Proven track record in physical design flows, layout optimization, and parasitic extraction.
  • Growth mindset toward AI - willingness to continuously learn new tools, retire old habits, and rethink established workflows as AI capability evolves.


Preferred Qualifications:
  • Experience building or deploying custom AI agents, LLM pipelines, or ML models targeted at IC design, verification, layout, or silicon debug problems.
  • Familiarity with prompt engineering, retrieval-augmented generation (RAG), fine-tuning, or agentic frameworks applied to engineering workflows.
  • Experience quantifying the productivity or quality impact of AI driven workflow changes (cycle-time reduction, defect escape reduction, coverage improvement, etc.).
  • Experience with DRAM interfaces (e.g., DDR4/5, LPDDR5/6, HBM3/3E/4) or other high-speed industry-standard interfaces.
  • Comprehensive understanding of sophisticated CMOS device physics, device reliability mechanisms, BSIM modeling, and CMOS targets for high-speed IO operation.


The US base salary range that Micron Technology estimates it could pay for this full-time position is:

$176,000.00 - $298,000.00 a year

Additional compensation may include benefits, bonuses and equity.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. 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.

About Micron Technology

Micron Technology Careers

Join the vibrant team at Micron Technology, a leader in memory and storage solutions, and propel your career into the future of technology. At Micron, we are committed to fostering a culture of diversity and innovation, offering a range of job opportunities that encourage professional growth and leadership development.

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Learn more about Micron Technology
Size
43,000 employees
Market Cap
$53.7 billion
Industry
Net Income
$2.9 billion
Founded
1978
5 Year Trend
+8.6%
Revenue
$22 billion
NASDAQ

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