Sr Full-Stack AI Engineer, IPAI, SMAI

Req. ID:

JR106130 Sr Full-Stack AI Engineer, IPAI, SMAI

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.

Sr 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 to 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, architect 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
• Architect and maintain scalable, modular application layers that bridge real-time sensor/robotics data with enterprise-facing dashboards and decision-support tools
• Design and develop full-stack integration of robotics platforms, Autonomous Mobile Robots (AMRs), tool automation, and control systems with smart manufacturing applications and the Micron smart manufacturing ecosystem
• Design and implement digital twin environments — constructing 3D representations of fab layouts, AMR fleets, and tool stations using Gazebo, NVIDIA Omniverse, or Unity Robotics Hub for simulation, path planning validation, and operational rehearsal
• Interface with existing Smart Manufacturing systems to feed structured data into AI pipelines and 3D digital twins
• Integrate LLMs and agentic AI frameworks into production workflows for fab engineers
• Build AI-assisted robotics orchestration and develop 3D-aware AI features — enabling models to reason over spatial data (equipment positions, robot trajectories, fab zone maps) for anomaly detection, route optimization, and predictive maintenance
• Containerize services with Docker, deploy via Kubernetes / OpenShift, and automate releases with CI/CD
• Package and deploy robotics software stacks and 3D rendering services as containerized microservices, supporting both edge (fab-floor) and cloud execution environments
• Manage GPU-accelerated inference workloads for both AI models and real-time 3D physics simulation (e.g., NVIDIA Isaac Sim on cloud)
• Optimize performance and cost: caching, batching, GPU utilization, model quantization, and right-sizing inference for edge or cloud
• Apply Responsible AI practices: input validation, prompt-injection defense, PII/IP redaction, model risk and audit logging
• Validate 3D simulation scenarios against real-world operational constraints before deployment to ensure zero-defect autonomous operation

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience accepted
• Track record of delivering in complex, cross-functional environments — collaborating across data science, robotics, operations, and infrastructure teams
• 5+ years building and shipping production web or AI applications end to end
• Excellent Python skills and modern JavaScript/TypeScript experience, with experience in designing and architecting solution to ensure scalability
• SQL fluency
• Hands-on experience with at least one cloud (AWS, Azure, or GCP) and with Docker + Kubernetes; CI/CD pipeline ownership
• Experience designing data ingestion and feature pipelines for AI/ML workloads at scale
• 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
• Hands-on with digital twin platforms: NVIDIA Omniverse, Unity Robotics Hub, Gazebo, Siemens Tecnomatix, or Unreal Engine would be an advantage
• Bonus: prior experience in semiconductor manufacturing, 3D modeling, digital twin solution development or any regulated high-reliability environment

Job Profile(s):

Machine Learning Engineer 4 - Machine Learning Engineer 5

Relocation level: (TBD)

Before Getting Started

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• Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
• If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.

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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 Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.