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Micron Technology

Makes memory and storage chips for AI and PCs

AI Product Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeManassas, VA, USANo salary listed

About the Job

Requirements

  • A Master's degree or equivalent experience in Engineering, Data Science, Business Management, Information Systems, or a related area.
  • At least 3 years of experience across product management or ownership, business process analysis, data science, software development, and/or data engineering in the semiconductor industry or a related field.
  • Hands-on experience building and deploying large language model or generative artificial intelligence applications, with strong Python, SQL, and data manipulation skills.
  • Experience deploying applications and applying software engineering fundamentals, including testing, version control, and application programming interface design.
  • Strong customer and collaborator communication, backlog management, and systems-thinking skills to translate ambiguous business problems into shipped AI products.

Responsibilities

  • Own the end-to-end product lifecycle for AI solutions in the business function, from vision, roadmap, and backlog to adoption and measurable outcomes.
  • Lead discovery through user research, persona development, and requirements gathering, and maintain the product vision, roadmap, and prioritized backlog.
  • Serve as the single voice of the customer for the agile delivery team; translate business needs into user stories with clear acceptance criteria and facilitate backlog refinement, sprint planning, demos, and release planning.
  • Prototype generative AI and agentic AI solutions, including prompt/context engineering and evaluation.
  • Integrate large language models through application programming interfaces, function/tool calling, and structured outputs; test and validate AI agents that automate or augment business workflows.
  • Partner with data engineering to identify data sources, design pipelines and extract-transform-load processes, and ensure data quality, security, governance, and observability at scale.
  • Direct user experience and user interface design in partnership with developers; lead training, change management, and adoption strategy; build feedback loops for continuous iteration.

Desired Qualifications

  • Prior experience as a Product Owner, Data Scientist, or Data Engineer.
  • Proven experience partnering with business function stakeholders, including Finance, Supply Chain, Sales, or Business Unit teams.
  • Experience with machine learning operations or large-language-model operations tooling and production AI.
  • Experience with Snowflake/Cortex and vector databases.
  • Experience building multi-agent systems.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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