AI Engineer, SMAI
At a glance
Mid-level AI Engineering role at Micron. Fab 10A · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI systems from data pipelines and model training through inference, APIs, user-facing applications, and monitoring
- Create models for varied data and turn analysis into guidance for manufacturing and operational decisions
- Add LLM and agent-based capabilities to production processes for manufacturing and engineering teams
- Connect robotics, mobile robots, automated equipment, control systems, and Micron’s manufacturing execution system
- Run production AI applications across manufacturing environments, improving deployment, scale, reliability, and release practices
What you bring
- At least five years delivering production software, machine learning, or AI applications
- A bachelor’s or master’s degree in a relevant technical field, or equivalent industry experience
- Strong Python, JavaScript or TypeScript, and SQL skills, plus experience with varied data types
- Experience with machine learning, cloud services, containers, CI/CD, and large-scale data or computing platforms
- Working knowledge of generative AI, including RAG, LLM integration, agent concepts, evaluation, and responsible AI
Who this fits
This role suits an experienced engineer working across full-stack applications, AI models, and manufacturing systems. It is based at Fab in Singapore and includes technical guidance, mentoring, and collaboration with engineering teams.
From the employer
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.
Senior Full-Stack AI Engineer, IPAI, SMAI
Job Summary
Join Micron's AI Revolution in Smart Manufacturing
Be part of a groundbreaking transformation as Micron accelerates the future of AI-driven manufacturing. As a Senior Full-Stack AI Engineer, you will architect, build, and deploy cutting-edge AI applications that power smarter, faster, and more autonomous operations across Micron's global network of semiconductor fabs and assembly/test facilities.
Working at the intersection of Artificial Intelligence, Software Engineering, and Advanced Manufacturing, you will collaborate with data scientists, engineers, and business stakeholders to develop scalable machine learning solutions, modern web applications, APIs, and intelligent automation platforms. Your work will directly influence how the world's most advanced memory and storage products are manufactured, driving efficiency, quality, and innovation at a global scale.
Main Responsibilities
- Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities.
- Architect and develop scalable full-stack AI applications using modern web technologies, cloud-native platforms, and distributed computing frameworks, while promoting strong type-safe development and test coverage practices.
- Develop, implement, and optimize machine learning, deep learning, and statistical models for structured and unstructured data.
- Develop and communicate descriptive, diagnostic, predictive, and prescriptive analytics to support manufacturing and operational decision-making.
- Design and integrate LLMs and agentic AI capabilities into production workflows for manufacturing and engineering users.
- Lead technical integration of robotics platforms, AMRs, tool automation systems, control systems, and the Micron MES ecosystem.
- Drive deployment, scalability, and reliability of production AI applications using Docker, Kubernetes, and OpenShift across global manufacturing environments.
- Work with large-scale computing frameworks, data platforms, and modeling environments to deliver production-grade AI solutions.
Other Responsibilities
- Drive best practices for CI/CD, automated software releases using GitHub Actions, monitoring, model evaluation, drift detection, and feedback loop implementation for production AI applications.
- Apply Responsible AI practices, including security, governance, validation, auditability, and compliance requirements.
- Lead application and model optimization initiatives to improve performance, scalability, reliability, and cost efficiency.
- Provide technical mentorship, code reviews, and knowledge sharing across engineering teams.
- Lead testing strategies, debugging efforts, and technical documentation 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, Machine Learning, Statistics, or a related field; equivalent industry experience accepted.
- 5+ years building and shipping production software, machine learning, or AI applications.
- Experience developing and deploying web applications, APIs, machine learning models, or data-driven solutions.
- Experience working with cloud platforms, modern software engineering practices, and large-scale data environments.
Must Have Technical Skills
- Strong programming skills in Python and modern JavaScript/TypeScript.
- Strong SQL proficiency and experience working with structured and unstructured data.
- Experience with machine learning, deep learning, statistical modeling, and predictive analytics techniques.
- Experience with Docker, Kubernetes/OpenShift, cloud platforms, and CI/CD development practices.
- Working knowledge of GenAI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), LLM integration, agentic AI concepts, model evaluation, and Responsible AI practices.
- Experience working with large-scale computing frameworks, distributed data processing, or enterprise-scale AI platforms.
- 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.
- Effective communication and collaboration skills.
- Ability to learn quickly and adapt in a fast-paced environment.
Highly Desirable / Preferred Skills or Experience
- Experience in semiconductor manufacturing, industrial automation, or smart manufacturing environments.
- Exposure to MLOps, machine learning model deployment, or enterprise AI applications.
- Familiarity with MES, Industrial IoT, or equipment automation systems.
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.
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.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.