Senior Industrial IoT Engineer

Job Title: Senior Industrial IoT Engineer

Location: Plano, Texas (on site)

Main office location will be Plano but will be asked to Travel to other plant locations.

About the Role:

Lead a cutting-edge project integrating machine learning models into industrial laser welding fault detection systems. You will manage a small team to implement and scale solutions bridging OT networks and cloud platforms (AWS). This role combines hands-on engineering, system integration, and team leadership across evolving architectures.

Key Responsibilities:

• Lead development and deployment of ML model interfaces for real-time fault detection in laser welding.
• Configure and integrate Ignition Perspective, MQTT brokers (HiveMQ), and PostgreSQL databases across plant and DMZ networks.
• Manage data pipelines, dashboards, and historian setups to visualize key machine metrics and inference results.
• Oversee edge deployments using NVIDIA hardware, Docker containers, and AWS IoT Greengrass.
• Build and maintain secure, scalable MQTT bridges between cloud and plant networks.
• Implement automated CI/CD pipelines, infrastructure provisioning (Terraform), and DevSecOps best practices.
• Collaborate across cloud, OT, data science, and engineering teams to deliver end-to-end solutions.

Essential Skills:

• Industrial system integration expertise (PLCs, industrial PCs, OT/IT network architectures).
• Experience with machine learning deployment and real-time inference in manufacturing environments.
• Proficiency in Ignition (Perspective & Edge) and MQTT (HiveMQ).
• Containerization with Docker and edge computing
• Strong background in data pipeline design, image/media handling, and sensor data processing.

Preferred / Nice to Have:

• Experience with laser welding or automated manufacturing processes.
• Knowledge of AWS SageMaker, and media metadata management.
• Familiarity with DevSecOps principles and secure industrial network configurations.
• Leadership experience managing small cross-functional teams.
• Cloud services: AWS IoT Greengrass, AWS IoT Core, S3, DataSync or Storage Gateway and Databricks.
• Infrastructure automation using Terraform and CI/CD tools (CodeBuild, ECR).
• Optional previous experience with GPU accelerated Machine Learning Models and deployments to Nvidia hardware

Soft Skills:

• Excellent communicator and mentor, fostering technical growth.
• Agile mindset focused on continuous improvement.

Ability to bridge industrial, cloud, and ML technology domains effectively.