Senior Reality Capture Engineer, Robotics Hardware

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

In this role on the Hardware Team at Field AI, you will deliver the sensor modules that turn our robots into data-collection platforms for customers. This spans sensor selection, calibration, electro-mechanical integration, validation, and the data pipelines that carry sensor output from capture through processing. Examples of sensor modules include high-resolution LiDAR scanners, PTZ and thermal cameras, depth cameras, GNSS/RTK, and gas detection sensors. Candidates should be familiar with concepts and workflows such as laser scanning, photogrammetry, digital twins, BIM, and deviation and change analysis.

You will collaborate with the product team to select the right sensor for customers from hard industries such as construction and manufacturing. You will work closely with mechanical and electrical engineers to integrate each sensor into swappable modules on our robotic platform. You will own sensor performance such as calibration and time sync. As well as validate results through vibration and shock testing, point cloud evaluation, and other data quality checks. You may also lead the development of new custom reality capture sensors such as multicamera systems.

• Sensor Depth: Direct experience with sensors such as LiDAR, gas detection, thermal imaging, or PTZ camera systems.

• Field Robotics: Experience working with field robots subject to vibration, shock, or harsh environmental conditions such as construction or industrial sites.

• Mapping & Reality Capture: Familiarity with point cloud registration, photogrammetry and reconstruction, digital twin and BIM workflows, and deviation or change detection for environment mapping.

• Reality Capture Ecosystem: Familiarity with laser scanning hardware (FARO, Leica, Trimble) and reality-capture software platforms, applied to building or infrastructure inspection, construction verification, and asset management.

• Industry Exposure: Experience in construction, manufacturing, industrial, mining, or oil and gas environments, including hazardous-area (ATEX, IECEx, Class I Div 1/2) considerations.

• Research to Production: Experience taking sensor or perception work from research and algorithm development through to production deployment.