Full Stack AI Engineer (Industrial and Physical AI) - Boise, ID - Main Site, United States
Originally posted 23 September 2026 by the employer.
Micron’s Industrial and Physical AI team is driving the transformation of semiconductor manufacturing through Autonomous Operations, AI, robotics, and digital twin technologies.
About the role
This role involves designing, building, and deploying production-grade AI applications that support Autonomous Operations initiatives, including data pipelines, AI models, APIs, web applications, digital twin integrations, and cloud/edge deployments.
What you'll do
- Design, architect, and deliver end-to-end AI products, including data ingestion pipelines, feature engineering, model training/inference, APIs, user interfaces, and application monitoring.
- Build and maintain modern front-end applications using React, Angular, or Streamlit, supported by backend services in Python and FastAPI.
- Develop scalable integrations between manufacturing systems, robotics platforms, AMRs, sensor networks, and enterprise applications.
- Design and implement digital twin environments using platforms such as NVIDIA Omniverse, Gazebo, or Unity Robotics Hub.
- Integrate LLMs, agentic AI frameworks, and AI-assisted decision support capabilities into production manufacturing workflows.
- Deploy and manage containerized applications using Docker, Kubernetes, and CI/CD pipelines across cloud and edge computing environments.
What you'll need
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent professional experience.
- 5+ years of experience designing, building, and deploying production web applications, AI solutions, or both.
- Strong programming skills in Python and modern JavaScript/TypeScript, with experience developing scalable software architectures.
- Experience building data ingestion, ETL, or feature engineering pipelines that support AI/ML applications at scale.
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP), Docker, Kubernetes, and CI/CD pipeline development.
- Working knowledge of SQL and database technologies used in enterprise application development.
Nice to have
- Master’s degree in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related field, or equivalent experience.
- Prior experience in semiconductor manufacturing, advanced manufacturing, industrial automation, or digital twin development.
- Experience implementing Generative AI solutions, including RAG architectures, prompt engineering, function/tool calling, agentic workflows, and LLMOps practices.
- Hands-on experience with digital twin and simulation platforms (NVIDIA Omniverse, Gazebo, Unity Robotics Hub, Siemens Tecnomatix, Unreal Engine) and the Autodesk stack (Revit, Navisworks, ACC, ReCap), including point-cloud processing, photogrammetry, Gaussian splatting, and geometry optimisation via IFC and Revit APIs.
- Experience integrating robotics, autonomous mobile robots (AMRs), industrial automation, and IoT sensor networks into software applications, with proven robotics development in ROS/ROS 2 and Isaac Sim/Lab; including SLAM perception, LiDAR/depth-camera data processing, and sim-to-real transfer (imitation learning, domain randomization).
- Proven experience in integration of SCADA/FMCS/BMS systems for smart facilities and EHS, ideally in semiconductor, data center, pharmaceutical, or other critical/cleanroom environments.
Skills: AI products, data ingestion pipelines, model training/inference, manufacturing systems, digital twin, LLMs
This role has been open 23 days — well below the 44-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI EDA Design
|
Open roles in category
112
|
Median days open
44 d
|
Median salary
$200k
|
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 (112 roles · 32 employers) |
|---|---|---|
| Open roles in this specialty | 13 | 112 |
| Open roles in the wider Software, Firmware & Systems family | 258 | 6119 · 145 employers |
| Median days open | 37 d | 44 d (−7 d vs this employer) |
| Median salary (USD postings) | — | $200k |
Skills observed across this category: AI products, data ingestion pipelines, model training/inference, manufacturing systems, digital twin, LLMs
Who's hiring in this category
- Applied Materials · 14 open roles · median 56 d
- KLA Corporation · 13 open roles · median 29 d
- Micron Technology (this employer) · 13 open roles · median 37 d
- Lam Research · 8 open roles · median 21 d
- Cadence Design Systems · 7 open roles · median 19 d
- NVIDIA · 7 open roles · median 163 d
How we counted: 112 open Software Engineering Semiconductor (AI EDA Design) roles from 32 employers tracked in the SemiconductorJobs index, counted 17 Oct 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.