Full-Stack AI Engineer, IPAI, SMAI
Indexed description
Full-Stack AI Engineer, IPAI, SMAI
Join Micron Technology at a defining moment in our history. We are seeking a hands-on, results-driven Full-Stack AI Engineer to design, build, and deploy production-grade AI applications across our worldwide fab and assembly/test plants. Reporting in Industrial and Physical AI director, you will own AI products end to end -- from data pipelines and model training to web/mobile front-ends, APIs, and on-prem or edge deployment -- shipping the tools that put AI into the hands of fab engineers, operators, and leadership across this global program.
Job Responsibilities
Design, build, and ship full-stack AI applications for Micron's Autonomous Operations, including: -
- Design and build end-to-end AI products: data ingestion, feature pipelines, model training/inference, APIs, web UI, and observability
- Develop responsive front-ends in React, Angular or Streamlit, backed by Python/FastAPI, with strong type-safety and test coverage
- Integrate LLMs and agentic into production workflows for fab engineers
- Integration of robotics platforms, AMRs, tool automation, and control systems with smart manufacturing applications and the Micron MES ecosystem
- Containerize services (Docker), deploy via Kubernetes / OpenShift, and automate releases with CI/CD (GitHub Actions)
- Instrument production AI with monitoring, drift detection, evals, and feedback loops; treat MLOps as a first-class engineering concern
- Apply Responsible AI practices: input validation, prompt-injection defense, PII/IP redaction, model risk and audit logging
- Optimize performance and cost: caching, batching, GPU utilization, model quantization, and right-sizing inference for edge or cloud
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience accepted
- 2+ years building and shipping production web or AI applications end to end
- Python skills and modern JavaScript/TypeScript
- SQL fluency
- Hands-on experience with at least one cloud (AWS, Azure, or GCP) and with Docker + Kubernetes; CI/CD pipeline ownership
- Working knowledge of LLMs and the GenAI stack: prompt engineering, function/tool calling, RAG, agentic patterns; familiarity with MLOps / LLMOps and model evaluation/safety practices
- Bonus: prior experience in semiconductor manufacturing or any regulated high-reliability environment
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
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