Staff / Principal Full Stack AI Engineer

We are seeking a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications that support Micron's Autonomous Operations initiatives. This role owns the end-to-end development lifecycle, from data pipelines and AI models to APIs, web applications, digital twin integrations, and cloud/edge deployments, delivering impactful solutions for engineers, operators, and business leaders worldwide., * Design, architect, and deliver end-to-end AI products, including data ingestion pipelines, feature engineering, model training/inference, APIs, user interfaces, and application monitoring.

• Build and maintain modern front-end applications using React, Angular, or Streamlit, supported by backend services in Python and FastAPI.
• Develop scalable integrations between manufacturing systems, robotics platforms, AMRs, sensor networks, and enterprise applications to enable intelligent factory operations.
• Design and implement digital twin environments using platforms such as NVIDIA Omniverse, Gazebo, or Unity Robotics Hub to support simulation, validation, and operational optimization.
• Integrate LLMs, agentic AI frameworks, and AI-assisted decision support capabilities into production manufacturing workflows.
• Deploy and manage containerized applications using Docker, Kubernetes, and CI/CD pipelines across cloud and edge computing environments.
• Optimize AI and simulation workloads through GPU acceleration, performance tuning, model optimization, and Responsible AI standards.

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent professional experience.
• 5+ years of experience designing, building, and deploying production web applications, AI solutions, or both.
• Strong programming skills in Python and modern JavaScript/TypeScript, with experience developing scalable software architectures.
• Experience building data ingestion, ETL, or feature engineering pipelines that support AI/ML applications at scale.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP), Docker, Kubernetes, and CI/CD pipeline development.
• Working knowledge of SQL and database technologies used in enterprise application development.
• Experience collaborating with teams spanning multiple functions such as software engineering, data science, operations, and infrastructure organizations., * Master's degree in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related field.
• Experience implementing Generative AI solutions, including RAG architectures, prompt engineering, function/tool calling, agentic workflows, and LLMOps practices.
• Hands-on experience with digital twin or simulation platforms such as NVIDIA Omniverse, Gazebo, Unity Robotics Hub, Siemens Tecnomatix, or Unreal Engine.
• Experience integrating robotics systems, autonomous mobile robots (AMRs), industrial automation platforms, or IoT sensor networks into software applications.
• Knowledge of GPU-accelerated computing, model optimization techniques, and deployment of AI workloads in cloud and edge environments.
• Experience applying Responsible AI, security, audit logging, and model governance practices within production applications.
• Prior experience in semiconductor manufacturing, advanced manufacturing, industrial automation, digital twin development, or other high-reliability operational environments.

Pulled from the full job description

• Employee stock purchase plan
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Family leave
• Paid holidays

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.