Industrial Ai

Industrial Ai Data Jobs

3 jobs found

10d ago

Staff / Principal Full Stack AI Engineer (Industrial AI)

Micron Boise, ID

Boise, ID

10d ago

Full time Ai Engineer Artificial Intelligence Data Integration

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Job Description

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.

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1mo ago

Industrial AI Engineer

Siemens Dallas, TX

Dallas, TX

1mo ago Closed

$84k - $144k/yr Full time Artificial Intelligence Data Analytics Data Integration

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

Siemens is hiring an Industrial AI Engineer for an onsite role in the Dallas–Fort Worth area. The position focuses on developing and scaling Industrial AI solutions that improve manufacturing performance by bringing AI models into production environments and supporting shop-floor adoption.

Role Overview

This role translates Industrial AI concepts into production-ready systems. You will validate AI capabilities in live industrial settings, work with operational and data requirements from shop-floor and IT sources, and help drive measurable improvements in operational performance and business outcomes.

Key Responsibilities

Develop and deploy AI models that address a range of industrial and manufacturing challenges using data-driven insights and decision-making.
Design and build AI solutions using time-series shopfloor data and MES/IT data, aligned with real production processes and operational needs.
Perform data preparation, engineering, and model development to ensure contextualized industrial data is effectively utilized for AI applications.
Deploy AI models into factory environments, maintaining reliable performance under real-world conditions including data variability, latency, and integration with operational workflows.
Collaborate with Cybersecurity, Data Architects, System Architects, software developers, and factory teams to ensure solutions are scalable, reusable, and integrated into industrial systems.
Work with external partners to support the implementation of standardized Industrial AI solutions.
Continuously validate and refine AI models based on production data and feedback to ensure operational and business impact.
Lead scaling of AI solutions across plants by enabling repeatable deployment patterns and supporting organization-wide standardization of Industrial AI capabilities.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
2+ years of experience developing and deploying AI/ML models in production environments, preferably in industrial, manufacturing, or automation domains.
2+ years of experience programming in relevant languages such as Python, R, or Java, and using AI/ML frameworks including TensorFlow, PyTorch, or scikit-learn, with hands-on experience building and testing machine learning models.
2+ years of experience deploying and validating AI models in industrial or production environments.
2+ years of experience working in cross-functional, customer-facing teams and adapting to evolving requirements.
2+ years of experience working with data-driven systems in operational or industrial environments.
Ability and willingness to travel up to 20% to support customer teams during critical deployment periods.
Authorized to work in the United States without the need for sponsorship now or in the future.

Technologies

Python, R, Java
TensorFlow, PyTorch, scikit-learn
MES/IT, MES, IT
Senseye
Industrial Edge

Preferred Qualifications

Strong analytical, problem-solving, and communication skills, including the ability to translate complex technical concepts into practical industrial applications.
Experience in production manufacturing environments, including piloting, validating, and refining AI solutions in operational settings based on production feedback.
Familiarity with Industrial AI platforms and ecosystems, including Siemens solutions (such as Senseye and Industrial Edge) or comparable AI/IoT platforms, along with industrial automation systems and OT/IT integration and cloud-based AI deployment.
Knowledge of data preparation, feature engineering, AI model evaluation, and compliance, safety, and regulatory requirements for AI in industrial environments.
Experience managing multiple projects and workstreams in a deadline-driven environment, supporting continuous improvement through performance monitoring, model drift mitigation, model refinement, and scaling across multiple deployments.
Proven ability to share deployment learnings and collaborate with factory teams to drive continuous improvement and adoption of AI solutions.

Location and Compensation

Location: Dallas, TX (onsite), supporting the Dallas–Fort Worth area. Salary: USD 83,966 - 143,942 per year. Minimum experience: 2 years.

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1mo ago

Industrial AI Engineer

Siemens Grand Prairie, TX

Grand Prairie, TX

1mo ago Closed

$84k - $144k/yr Full time Artificial Intelligence Data Analytics Data Integration

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Build production-ready Industrial AI for real manufacturing environments with Siemens in the Dallas–Fort Worth area. This onsite role supports the development and scaling of Industrial AI solutions designed to improve manufacturing performance, from model development through deployment in live factory workflows.

As an Industrial AI Engineer, you will work with time-series shopfloor and MES/IT data to create data-driven decision-making capabilities, deploy models into operational settings, and validate results using production data and feedback. You will also help drive adoption on the shop floor by partnering across teams and external stakeholders to standardize repeatable deployment patterns.

What you’ll do

Develop and deploy AI models targeting industrial and manufacturing challenges using data-driven insights and decision-making.
Design AI solutions using time-series shopfloor data and MES/IT data, aligned to real operational processes and needs.
Perform data preparation and feature engineering, and build models that effectively utilize contextualized industrial data.
Deploy AI models into real factory environments, ensuring reliable performance under real-world conditions including data variability, latency, and integration with operational workflows.
Collaborate with Cybersecurity, Data Architects, System Architects, software developers, and factory teams to ensure solutions are scalable, reusable, and integrated into industrial systems.
Work with external partners to support implementation of standardized Industrial AI solutions.
Continuously validate and refine models based on production data and feedback to deliver measurable improvements in operational performance and business outcomes.
Lead scaling across plants to enable repeatable deployment patterns and contribute to organizational standardization of Industrial AI capabilities.

Required qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
2+ years of experience developing and deploying AI/ML models in production environments, preferably in industrial, manufacturing, or automation domains.
2+ years programming in relevant languages such as Python, R, or Java and common AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn, with hands-on experience building and testing ML models.
2+ years experience deploying and validating AI models in industrial or production environments.
2+ years experience in cross-functional, customer-facing teams and adapting solutions to evolving requirements.
2+ years experience working with data-driven systems in operational or industrial environments.
Ability to travel up to 20% to be with customer teams during critical deployment activities.
Authorized to work in the United States without sponsorship now or in the future.

Tools and technologies you may use

Python, R, Java
TensorFlow, PyTorch, scikit-learn
MES/IT, time-series shopfloor data
Siemens Senseye, Siemens Industrial Edge
AI/IoT platforms, OT/IT integration, and cloud-based AI deployment

Preferred qualifications

Strong analytical, problem-solving, and communication skills, including the ability to translate complex technical concepts into practical industrial applications.
Experience piloting, validating, and refining AI solutions in production manufacturing settings using production feedback.
Familiarity with Industrial AI platforms and ecosystems, including Siemens solutions such as Senseye and Industrial Edge, or comparable AI/IoT platforms, along with industrial automation systems, OT/IT integration, and cloud-based AI deployment.
Knowledge of data preparation, feature engineering, AI model evaluation, and compliance, safety, and regulatory requirements for AI in industrial environments.
Experience managing multiple projects and workstreams in a deadline-driven environment, including performance monitoring, model drift mitigation, model refinement, and scaling.
Ability to share deployment learnings and collaborate with factory teams to drive continuous improvement and adoption.

Location: Grand Prairie, TX (onsite). Salary: USD 83,966 - 143,942 per year.

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