Robotics Software Engineer, Multimodal Inspection

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Develop inspection modalities beyond RGB, from sensing to insight, such as radiometric thermal, gas detection, and acoustic signatures. Fuse these modalities into the perception and mission pipeline. Implement sensing-based behavior activation. Deliver per-asset evidence and alerts into the data platform and on-prem flows. Analyze multimodal inspection performance across real-world deployments.

MS in robotics, electrical engineering, mechanical engineering, aerospace engineering, computer science, or 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 the geometry to project detections between sensors and 3D. Experience with real-time constraints: latency budgets, dropout handling, and persisting data through network outages. A field mindset: you have debugged a sensor on a robot in a place with no desk.

Optical gas imaging, multi-gas sensing, or radiometric thermal analysis. Acoustic anomaly detection for rotating machinery. Predictive maintenance integrations (CMMS, SCADA) or functional safety experience. Applying foundation models to thermal or non-RGB imagery.