Staff AI Engineer - Full-Stack, Digital Twin, Robotics

Micron; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Micron is seeking a Staff/Principal Full-Stack AI Engineer to lead AI product strategy and delivery for autonomous manufacturing. You will own data pipelines, model training and inference, APIs, and modern full-stack apps across global fabs.

Work with data scientists, software engineers, robotics teams, and manufacturing leaders to deploy production-grade AI that improves efficiency, automation, and decision-making at enterprise scale.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
• 8+ years building and shipping production web, software, machine learning, or AI applications end-to-end.
• 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 and APIs for manufacturing.
• Develop front-end applications using React/Angular/Streamlit with Python/FastAPI backends.
• Implement scalable data pipelines, digital twins, and robot integration.
• Lead CI/CD, monitoring, model evaluation, and AI lifecycle management for production.
• Collaborate across data scientists, software engineers, and robotics teams.

Skills

Python

JavaScript/TypeScript

SQL

APIs

Data ingestion

Feature engineering

LLM integration

Prompt engineering

RAG

Agentic AI

Distributed data processing

Education

Bachelor's or Master's in CS/SE/Data Science or related

Tools

Docker

Kubernetes/OpenShift

AWS

Azure

GCP

CI/CD

Job description

Micron is seeking a Staff/Principal Full-Stack AI Engineer to lead AI product strategy and delivery for autonomous manufacturing. You will own data pipelines, model training and inference, APIs, and modern full-stack apps across global fabs.

Work with data scientists, software engineers, robotics teams, and manufacturing leaders to deploy production-grade AI that improves efficiency, automation, and decision-making at enterprise scale.