FIELD SUPPORT ENGINEER
INVEST OTTAWA – AREA X.O
Reporting to the Senior Engineering Manager, Defence and Advanced Robotics at Area X.O, the Field Support Engineer – Innovation Farm and Advanced Robotics will play a key role in supporting testing, project delivery, and prototyping activities across multiple verticals, with a strong current focus on agriculture technology (agri-tech) and agricultural robotics, alongside defence and advanced robotics.
This hands-on role focuses on deploying, operating, and validating robotic, autonomous, and intelligent technologies in real-world environments — from the Area X.O Innovation Farm to defence and multi-vertical test sites. Working in an agile setting, the Field Support Engineer will contribute to process development, field data collection and analysis, sensor and systems integration, and technology validation. The successful candidate will help ensure the progress and execution of multiple projects within the Innovation Farm and Advanced Robotics domains at Area X.O.
- Engineering Pay Band C: $59,600- $88,800
- Hiring Salary Range: $59,600-75,000
- 4-5 Days per week in Office (Area X.O)
WHAT YOU WILL BE DOING:
- Agile Development Support: Contribute to the deployment and continuous improvement of processes, tools, and data management systems in an agile environment.
- Field Data Collection & Analysis: Operate, deploy, and maintain advanced field equipment (e.g., assorted agriculture technologies, land and aerial robotic systems, and sensor suites including GPS/GNSS, IMUs, cameras, LiDAR, and machine vision platforms) to collect, validate, and analyze live operational data. Support field data pipelines from edge devices to analysis platforms, ensuring data quality and integrity.
- Testing & Validation: Support execution of trials and long-term projects for agricultural robotics, precision agriculture, and defence-related technologies, ensuring performance validation, calibration, safety, and troubleshooting in collaboration with engineering and research teams. Support field validation of AI/ML-enabled systems such as computer vision, object detection, and crop monitoring applications.
- Systems Integration: Assist in deploying, integrating, and supporting advanced robotics platforms (ground and aerial), precision agriculture tools (e.g., autonomous equipment, soil and crop sensors, uncrewed aerial systems), and defence technologies, including hardware/software integration of sensors and edge devices.
- Documentation & Reporting: Maintain accurate logs, reports, and technical documentation of field results, workflows, system configurations, and performance to support decision-making and continuous improvement. Maintain testing records and version control of documentation and integration procedures.