Field AI
Robotics Software Engineer, Multimodal Inspection
Irvine, CA · On-site · Full-time · Posted Oct 19, 2026
- Experience
- 3+ years building sensing software for real robots.
- Education
- MS in robotics, electrical engineering, mechanical engineering, aerospace engineering, computer science, or a related field.
About the job
Develop and deploy multimodal sensing and inspection software for real robots, integrating sensor data into perception, mission, and data pipelines and evaluating performance in field deployments.
What you'll do
- Develop non-RGB inspection modalities, fuse them into perception and mission pipelines, and implement sensing-based behavior activation.
- Deliver per-asset evidence and alerts to data platforms and on-prem flows.
- Analyze multimodal inspection performance across real-world deployments.
What they ask for
- MS in a related field, with 3+ years building sensing software for real robots.
- Strong C++ and Python, and ROS 2 experience integrating sensor drivers and real-time pipelines.
- Hands-on camera and thermal calibration, cross-modal registration, and geometry to project detections between sensors and 3D.
- Experience with real-time constraints, including latency budgets, dropout handling, and persisting data through network outages.
Nice to have
- Optical gas imaging, multi-gas sensing, or radiometric thermal analysis; acoustic anomaly detection for rotating machinery.
- Predictive maintenance integrations (CMMS, SCADA), functional safety experience, or applying foundation models to thermal or non-RGB imagery.
Tools
C++, Python, ROS 2, CMMS, SCADA
AI focus
Apply multimodal sensing and perception to real-world robotic inspection; applying foundation models to thermal or non-RGB imagery is a preferred qualification.
Model-written summary · the original posting is authoritative