M
Staff / Principal Full Stack AI Engineer (Industrial AI)
Micron
2 hours ago
Full-time
On-site
Boise, Idaho, United States
Micron is seeking a hands-on
Full-Stack AI Engineer
to build production-grade AI applications for
Industrial AI
and
Autonomous Operations . This role spans the full lifecycle, from data ingestion and feature engineering to models, APIs, and user-facing applications, with deployment across
cloud and edge
environments.
Based in
Boise, ID (onsite) , this position supports intelligent factory operations through integrations with manufacturing systems and robotics platforms, alongside digital twin environments and simulation-driven optimization.
What you’ll do
Design, architect, and deliver end-to-end AI products, including
data ingestion pipelines ,
feature engineering ,
model training and inference ,
APIs ,
user interfaces , and
application monitoring .
Build and maintain modern front-end applications using
React ,
Angular , or
Streamlit , backed by services in
Python
and
FastAPI .
Develop scalable integrations across
manufacturing systems ,
robotics platforms ,
AMRs ,
sensor networks , and
enterprise applications
to enable intelligent operations.
Design and implement
digital twin environments
using
NVIDIA Omniverse ,
Gazebo , or
Unity Robotics Hub
for simulation, validation, and operational optimization.
Integrate
LLMs ,
agentic AI frameworks , and
AI-assisted decision support
into production manufacturing workflows.
Deploy and manage containerized applications using
Docker ,
Kubernetes , and
CI/CD
pipelines across
cloud and edge .
Optimize AI and simulation workloads using
GPU acceleration , performance tuning, model optimization, and
Responsible AI standards .
What you bring
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 building scalable software architectures.
Experience creating
data ingestion ,
ETL , or
feature engineering
pipelines that support AI/ML at scale.
Hands‑on experience with at least one major cloud platform ( AWS ,
Azure , or
GCP ), plus
Docker ,
Kubernetes , and
CI/CD
development.
Working knowledge of
SQL
and database technologies used in enterprise application development.
Ability to collaborate across teams including software engineering, data science, operations, and infrastructure organizations.
Benefits at Micron
Choice of
medical, dental, and vision
plans in all locations
Benefit programs that help protect your income if you are unable to work due to illness or injury
Paid family leave
Robust paid time‑off
program
Paid holidays
Preferred qualifications
Master’s degree
in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related field, or equivalent experience.
Experience in
semiconductor manufacturing , advanced manufacturing, industrial automation, digital twin development, or other high‑reliability operational environments.
Experience implementing
Generative AI
solutions, including
RAG architectures , prompt engineering, function/tool calling, agentic workflows, and
LLMOps
practices.
Experience applying
Responsible AI , security, audit logging, and model governance practices within production applications.
Knowledge of
GPU-accelerated computing , model optimization techniques, and deploying AI workloads in cloud and edge environments.
Hands‑on experience with digital twin and simulation platforms, including
NVIDIA Omniverse ,
Gazebo ,
Unity Robotics Hub ,
Siemens Tecnomatix , and
Unreal Engine , plus Autodesk stack tools ( Revit ,
Navisworks ,
ACC ,
ReCap ) including point‑cloud processing, photogrammetry, Gaussian splatting, and geometry optimization via
IFC
and
Revit APIs .
Experience integrating robotics, autonomous mobile robots (AMRs), industrial automation, and IoT sensor networks into software applications, including robotics development in
ROS/ROS 2
and
Isaac Sim/Lab , plus SLAM perception, LiDAR/depth‑camera data processing, and sim‑to‑real transfer (imitation learning, domain randomization).
Proven experience integrating
SCADA/FMCS/BMS
systems for smart facilities and EHS, ideally in semiconductor, data center, pharmaceutical, or other critical/cleanroom environments.
#J-18808-Ljbffr
Full-Stack AI Engineer
to build production-grade AI applications for
Industrial AI
and
Autonomous Operations . This role spans the full lifecycle, from data ingestion and feature engineering to models, APIs, and user-facing applications, with deployment across
cloud and edge
environments.
Based in
Boise, ID (onsite) , this position supports intelligent factory operations through integrations with manufacturing systems and robotics platforms, alongside digital twin environments and simulation-driven optimization.
What you’ll do
Design, architect, and deliver end-to-end AI products, including
data ingestion pipelines ,
feature engineering ,
model training and inference ,
APIs ,
user interfaces , and
application monitoring .
Build and maintain modern front-end applications using
React ,
Angular , or
Streamlit , backed by services in
Python
and
FastAPI .
Develop scalable integrations across
manufacturing systems ,
robotics platforms ,
AMRs ,
sensor networks , and
enterprise applications
to enable intelligent operations.
Design and implement
digital twin environments
using
NVIDIA Omniverse ,
Gazebo , or
Unity Robotics Hub
for simulation, validation, and operational optimization.
Integrate
LLMs ,
agentic AI frameworks , and
AI-assisted decision support
into production manufacturing workflows.
Deploy and manage containerized applications using
Docker ,
Kubernetes , and
CI/CD
pipelines across
cloud and edge .
Optimize AI and simulation workloads using
GPU acceleration , performance tuning, model optimization, and
Responsible AI standards .
What you bring
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 building scalable software architectures.
Experience creating
data ingestion ,
ETL , or
feature engineering
pipelines that support AI/ML at scale.
Hands‑on experience with at least one major cloud platform ( AWS ,
Azure , or
GCP ), plus
Docker ,
Kubernetes , and
CI/CD
development.
Working knowledge of
SQL
and database technologies used in enterprise application development.
Ability to collaborate across teams including software engineering, data science, operations, and infrastructure organizations.
Benefits at Micron
Choice of
medical, dental, and vision
plans in all locations
Benefit programs that help protect your income if you are unable to work due to illness or injury
Paid family leave
Robust paid time‑off
program
Paid holidays
Preferred qualifications
Master’s degree
in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related field, or equivalent experience.
Experience in
semiconductor manufacturing , advanced manufacturing, industrial automation, digital twin development, or other high‑reliability operational environments.
Experience implementing
Generative AI
solutions, including
RAG architectures , prompt engineering, function/tool calling, agentic workflows, and
LLMOps
practices.
Experience applying
Responsible AI , security, audit logging, and model governance practices within production applications.
Knowledge of
GPU-accelerated computing , model optimization techniques, and deploying AI workloads in cloud and edge environments.
Hands‑on experience with digital twin and simulation platforms, including
NVIDIA Omniverse ,
Gazebo ,
Unity Robotics Hub ,
Siemens Tecnomatix , and
Unreal Engine , plus Autodesk stack tools ( Revit ,
Navisworks ,
ACC ,
ReCap ) including point‑cloud processing, photogrammetry, Gaussian splatting, and geometry optimization via
IFC
and
Revit APIs .
Experience integrating robotics, autonomous mobile robots (AMRs), industrial automation, and IoT sensor networks into software applications, including robotics development in
ROS/ROS 2
and
Isaac Sim/Lab , plus SLAM perception, LiDAR/depth‑camera data processing, and sim‑to‑real transfer (imitation learning, domain randomization).
Proven experience integrating
SCADA/FMCS/BMS
systems for smart facilities and EHS, ideally in semiconductor, data center, pharmaceutical, or other critical/cleanroom environments.
#J-18808-Ljbffr