Staff Engineer, Industrial

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Micron Semiconductor Asia Operations Pte Ltd seeks a Staff/Principal Full-Stack AI Engineer to lead end-to-end AI products powering manufacturing intelligence. You will own data engineering, ML, digital twins, robotics integration, and cloud-native deployment at scale across a global fabs network.

You will collaborate with data scientists, software engineers, robotics teams, and manufacturing leaders to deliver scalable, production-grade AI solutions that improve efficiency and automation while

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field.
• 8+ years experience building and shipping production web, software, ML, or AI apps end-to-end.
• Proven track record across software, data science, robotics, manufacturing, and infra teams.
• Experience deploying scalable AI apps, APIs, and data-driven solutions in production.

Responsibilities

• Design, architect, and build end-to-end AI products, data pipelines, models, APIs, and dashboards.
• Develop front-end apps with React/Angular/Streamlit and Python/FastAPI services.
• Integrate robotics, AMRs, tool automation, and control systems with AI platforms.
• Create digital twin environments using 3D platforms and simulate fab layouts.
• Integrate AI into production workflows with LLMs and agentic AI patterns.
• Lead CI/CD implementations, monitoring, model evaluation, and AI lifecycle management.
• Collaborate with data scientists, software engineers, robotics teams, and leaders.

Skills

Python

JavaScript/TypeScript

SQL

Docker

Kubernetes

Cloud platforms

LLM integration

GenAI tech

AI/ML workloads

Robotics

3D modeling

Education

Bachelor's or Master's in CS/Software Eng/Data Science

Equivalent industry experience

Tools

NVIDIA Omniverse

Gazebo

Unity Robotics Hub

Siemens Tecnomatix

Unreal Engine

Job description

Lead the Future of AI-Powered Manufacturing at Micron

Micron is accelerating its transformation toward Autonomous Operations through Artificial Intelligence, advanced analytics, digital twins, robotics, and intelligent automation. As a Staff/Principal Full-Stack AI Engineer, you will be a technical leader driving the strategy, architecture, and delivery of next-generation AI products that power smarter manufacturing across Micron's global network of fabs and assembly/test sites.

In this highly influential role, you will own AI solutions end-to-end—from data engineering, machine learning, and agentic AI systems to modern full-stack applications, digital twin platforms, robotics integration, and edge-to-cloud deployment. Working closely with data scientists, software engineers, robotics teams, and manufacturing leaders, you will transform innovative ideas into scalable, production-grade solutions that improve efficiency, increase automation, and enable intelligent decision-making at enterprise scale.

This is a unique opportunity to shape the future of AI in semiconductor manufacturing and directly contribute to Micron's vision of autonomous, data-driven operations worldwide.

Main 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.

Other Responsibilities

• Lead implementation of CI/CD, automated software releases, monitoring, model evaluation, drift detection, and AI application lifecycle management for production AI applications.
• Apply Responsible AI practices, including input validation, prompt-injection defense, PII/IP protection, model governance, auditability, and compliance requirements.
• Design and implement improvements to AI platform scalability, reliability, maintainability, performance, and cost efficiency.
• Develop and communicate descriptive, diagnostic, predictive, and prescriptive analytics to support manufacturing and operational decision-making.
• Develop, implement, and optimize machine learning, deep learning, and statistical models for structured and unstructured data.
• Perform code reviews, provide technical mentorship, and drive software engineering best practices across project teams.
• Lead testing, debugging, technical documentation, installation procedures, and maintenance strategies for AI and software solutions.
• Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, and effectiveness while complying with organizational standards, legal requirements, and governance policies.
• Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work.

Minimum Required Qualifications / Experience

• 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.

Must Have Technical Skills

• Expert programming skills in Python and modern JavaScript/TypeScript, with experience designing scalable software architectures.
• Strong SQL proficiency and experience designing data ingestion and feature engineering pipelines for AI/ML workloads at scale.
• Experience with Docker, Kubernetes/OpenShift, cloud platforms (AWS, Azure, or GCP), and CI/CD pipeline ownership.
• Experience with machine learning, deep learning, statistical modeling, predictive analytics, and large-scale computing frameworks.
• Strong knowledge of GenAI technologies, including prompt engineering, function/tool calling, Retrieval-Augmented Generation (RAG), LLM integration, agentic AI patterns, model evaluation, and Responsible AI practices.
• Experience working with distributed data processing platforms, enterprise AI systems, and production AI operations.
• Experience with 3D modeling, simulation environments, robotics software stacks, or spatial AI applications.
• Ability to apply AI literacy and digital fluency to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, automation, and achieving business outcomes.

Must Have Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Ability to influence technical decisions across cross-functional teams.
• Strong collaboration, ownership, and execution mindset.

Highly Desirable / Preferred Skills or Experience

• Experience in semiconductor manufacturing, industrial automation, robotics, or smart manufacturing environments.
• Hands-on experience with digital twin platforms such as NVIDIA Omniverse, Gazebo, Unity Robotics Hub, Siemens Tecnomatix, Unreal Engine, or similar technologies.
• Experience with MLOps, LLMOps, enterprise AI platforms, or large-scale AI deployment environments.
• Familiarity with MES, Industrial IoT, advanced automation systems, or regulated high-reliability environments.
• Experience with 3D modeling, simulation environments, robotics software stacks, or spatial AI applications.

Embody Micron's Core Values

• People – Respect, develop, and empower others.
• Innovation – Drive continuous improvement and breakthrough thinking.
• Tenacity – Show grit and determination.
• Collaboration – Build trust and foster teamwork.
• Customer Focus – Deliver excellence and value.
• Speed – Act with purpose and set the pace.