Sr Full-Stack AI Engineer, IPAI, SMAI

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

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

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

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 hrsupport_sg@micron.com

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.   

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