Job Role:IIOT Solution Lead Engineer
Location-TX/Dallas- Hybrid
Duration:6 Months
Skills:
- Edge Device Configuration & Deployment
- Configure deploy & manage IIoT edge devices (e.g. NVIDIA Jetson Siemens IoT2040 Azure IoT Edge etc.)
- Interface with industrial equipment (PLCs SCADA OPC UA Modbus MQTT etc.)
- programming/scripting languages: Python C or
Job Description:
- We are seeking an experienced and passionate IIoT Edge Engineer to design develop and deploy edge computing solutions for our industrial systems.
- The ideal candidate will be responsible for connecting machines sensors and controllers to edge gateways enabling real-time data processing and integration with cloud or on-premises analytics platforms.
Key Responsibilities:
- Edge Device Configuration & Deployment:
- Configure deploy and manage IIoT edge devices (e.g. NVIDIA Jetson Siemens IoT2040 Azure IoT Edge etc.)
- Interface with industrial equipment (PLCs SCADA OPC UA Modbus MQTT etc.)
- Data Acquisition & Processing:
- Design and implement data acquisition pipelines for edge-based processing
- Develop and deploy microservices or containers to run analytics or preprocessing at the edge
- Connectivity & Integration:
- Establish secure connectivity between edge devices and central/cloud platforms (AWS IoT Azure IoT Hub etc.)
- Collaborate with IT/OT teams to ensure reliable and secure data transfer
- Monitoring & Maintenance:
- Set up health checks diagnostics and remote monitoring of deployed edge solutions
- Perform firmware and software updates as needed for security and performance
- Collaboration & Documentation:
- Work closely with data scientists software engineers and OT engineers
- Document system designs deployment configurations and troubleshooting procedures
Required Qualifications:
- Bachelors or Masters in Computer Science Electrical Engineering Electronics Mechatronics or related fields
- 3 years of hands-on experience in IIoT or Edge Computing environments
- Proficient in programming/scripting languages: Python C or
- Experience with IIoT protocols: MQTT OPC UA Modbus REST APIs
- Knowledge of containerization technologies like Docker and Kubernetes
- Familiarity with Linux-based systems and edge platforms (Azure IoT Edge AWS Greengrass Balena etc.)