Micron Technology-posted 3 months ago
5,001-10,000 employees

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. Micron Technology’s vision is to transform how the world uses information to enrich life. Our dedication to people, innovation, tenacity, partnership, and customer focus allows us to fulfill our mission to be a global leader in memory and storage solutions. This means conducting business with integrity, accountability, and collaboration while supporting our global community. About the Team Micron’s Technology Development experts develop data driven and physics based Advanced Modeling and AI solutions to tackle complex challenges in semiconductor component, packaging, and systems engineering. The team plays a key role in predictive modeling, intelligent automation, and decision-making across Micron’s memory and storage portfolio.

  • Drive the deployment of intelligent, advanced physics or ML-powered modeling solutions that enhance semiconductor process technology development, package development, design, and early manufacturing workflows.
  • Architect and implement agentic AI systems that integrate with Advanced Modeling tools, design automation tools/environments, and product/fab/manufacturing test platforms.
  • Establish and promote Best Known Methods (BKMs) for deploying LLMs and agentic systems in production environments.
  • Benchmark and evaluate model performance using structured evaluation frameworks, and continuously refine models through prompt tuning, RLHF, and feedback loops.
  • Accelerate insight generation from predictive modeling, images, and data.
  • Communicate technical insights and solution strategies clearly to both technical and non-technical stakeholders.
  • Must have a Master’s or PhD in Electrical Engineering, Computer Science, or a related field.
  • Proficient in Python, with over 5 years of experience working with a variety of semiconductor design & process datasets.
  • Proficient in leveraging enterprise data platforms such as Snowflake, BigQuery, MSSQL, Oracle, and AWS Redshift for scalable data processing and analysis.
  • Hands-on experience building and managing AI/ML projects involving LLMs, RAG, and agentic workflows deployed in semiconductor environments.
  • Demonstrated expertise in ML frameworks such as PyTorch or TensorFlow.
  • Strong knowledge of domain-adapted LLM training with practical experience.
  • Must have experience working with cloud platforms such as GCP, AWS, or Azure.
  • Familiarity with LLM evaluation and benchmarking techniques.
  • Proven ability to independently drive AI/ML projects from problem scoping through deployment in semiconductor environments.
  • Excellent communication skills with the ability to collaborate with process technology, silicon design, design verification, validation and product engineering teams.
  • Experience includes direct application of AI/ML to semiconductor design, processing, verification, validation, and manufacturing workflows.
  • Deep understanding of semiconductor-specific AI/ML applications.
  • Experience with CI/CD pipelines and MLOps practices for ML/LLM deployment.
  • Strong understanding of agentic AI frameworks and evaluation tools.
  • Demonstrated ability to translate complex technical concepts into actionable insights for cross-functional teams.
  • Choice of medical, dental and vision plans.
  • Benefit programs that help protect your income if you are unable to work due to illness or injury.
  • Paid family leave.
  • Robust paid time-off program.
  • Paid holidays.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service