Principal AI Engineer: Full-Stack, Robotics & Digital Twins

Micron Technology, Inc; Singapore; On-site; SGD 180,000 - 300,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Paid time off

Relocation assistance

Career growth opportunities

Job summary

Micron Technology, Inc. is seeking a Staff/Principal Full-Stack AI Engineer to lead AI-powered manufacturing initiatives. You will own AI solutions end-to-end—from data engineering to full-stack applications, digital twins, robotics integration, and edge-to-cloud deployment.

You will design scalable AI products, develop front-end apps with React/Angular/Streamlit, and connect them to Python/FastAPI services while applying Responsible AI practices and governance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience accepted.
• 8+ years building and shipping production web, software, machine learning, or AI applications end-to-end.
• Track record of delivering solutions in complex cross-functional environments spanning software engineering, data science, robotics, manufacturing, automation, and infrastructure teams.
• Experience designing and deploying scalable AI applications, APIs, and data-driven solutions in production environments.

Responsibilities

• Design, architect, and build end-to-end AI products, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability frameworks.
• Develop responsive front-end applications using React, Angular, or Streamlit, backed by Python/FastAPI services, with strong type-safe development and test coverage practices.
• Architect and maintain scalable, modular application layers that bridge real‑time sensor, robotics, and manufacturing data with enterprise-facing dashboards and decision-support systems.
• Design and develop full-stack integration of robotics platforms, Autonomous Mobile Robots (AMRs), tool automation systems, and control systems with smart manufacturing applications and the Micron smart manufacturing ecosystem.
• Design and implement digital twin environments, including 3D representations of fab layouts, AMR fleets, and tool stations using platforms such as NVIDIA Omniverse, Gazebo, Unity Robotics Hub, or equivalent technologies.
• Interface with Smart Manufacturing systems to integrate structured operational data into AI pipelines and digital twin environments.
• Design and integrate LLMs and agentic AI frameworks into production workflows for manufacturing and engineering users.
• Develop AI-assisted robotics orchestration capabilities and 3D-aware AI features that leverage spatial data, equipment positioning, robot trajectories, and fab maps to improve anomaly detection, route optimization, and predictive maintenance.
• Containerize AI and robotics services using Docker and deploy solutions through Kubernetes, OpenShift, and modern cloud-native platforms.
• Package and deploy robotics software stacks, AI services, and 3D rendering workloads as containerized microservices supporting cloud, on-premises, and edge manufacturing environments.
• Manage GPU-accelerated inference workloads and real-time simulation environments supporting AI, robotics, and digital twin applications.
• Optimize AI application performance and cost through caching, batching, GPU utilization, model quantization, and inference optimization strategies.
• Validate digital twin and simulation scenarios against real-world operational constraints before production deployment to support safe and reliable autonomous operations.

Skills

Python

JavaScript/TypeScript

SQL

GenAI technologies

LLM integration

APIs

Real-time data

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field

Tools

Docker

Kubernetes/OpenShift

Cloud platforms (AWS, Azure, GCP)

React/Angular/Streamlit

Job description

Micron Technology, Inc. is seeking a Staff/Principal Full-Stack AI Engineer to lead AI-powered manufacturing initiatives. You will own AI solutions end-to-end—from data engineering to full-stack applications, digital twins, robotics integration, and edge-to-cloud deployment.

You will design scalable AI products, develop front-end apps with React/Angular/Streamlit, and connect them to Python/FastAPI services while applying Responsible AI practices and governance.