AI Engineer, SMAI - Fab 10A, Singapore
Originally posted 10 September 2026 by the employer — open 0 days.
About the role
This role involves architecting, building, and deploying AI applications to power autonomous operations across semiconductor fabs and assembly/test facilities. Your work will directly influence the manufacturing of memory and storage products.
What you'll do
- Design and build end-to-end AI solutions, including data ingestion, 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.
- Develop, implement, and optimize machine learning, deep learning, and statistical models for structured and unstructured data.
- 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.
What you'll need
- 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.
- 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.
Nice to have
- 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.
Skills: end-to-end AI solutions, machine learning, deep learning, LLMs, agentic AI, robotics platforms
This role has been open 0 days — well below the 63-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
508
|
Median days open
63 d
|
Median salary
$224k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (508 roles · 79 employers) |
|---|---|---|
| Open roles in this specialty | 28 | 508 |
| Open roles in the wider Software, Firmware & Systems family | 238 | 5650 · 142 employers |
| Median days open | 42 d | 63 d (−21 d vs this employer) |
| Median salary (USD postings) | — | $224k |
Skills observed across this category: end-to-end AI solutions, machine learning, deep learning, LLMs, agentic AI, robotics platforms
Who's hiring in this category
- Qualcomm · 107 open roles · median 98 d
- NVIDIA · 88 open roles · median 60 d
- AMD · 44 open roles · median 63 d
- Micron Technology (this employer) · 27 open roles · median 47 d
- Mobileye · 21 open roles · median 44 d
- NXP Semiconductors · 11 open roles · median 64 d
How we counted: 508 open AI/ML Hardware Engineering (AI ML Hardware) roles from 79 employers tracked in the SemiconductorJobs index, counted 10 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.