$155K – $185K/yr
Senior Reality Capture Engineer, Robotics Hardware
Role overview
Job description
1. Sensor Selection & Cross-Team Coordination
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Sensor Selection & Evaluation: Evaluate and select sensors for reality capture and mapping, such as LiDAR, depth cameras, GNSS/RTK, and PTZ/thermal cameras, based on accuracy, range, and point density.
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Insights & Customer Alignment: Partner with Product and engage directly with customers across construction, manufacturing, and other industries, to reconcile ideal data requirements with physical constraints.
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Custom Systems: Propose custom sensor solutions when needed, assessing whether COTS (commercial off-the-shelf) choices are truly optimal or whether custom LiDAR or multi-camera systems perform better.
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Calibration & Time Sync: Own multi-sensor calibration, including intrinsics, extrinsics, boresight alignment, and timing (PTP, PPS) across custom LiDAR and multi-camera systems.
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Mechanical & Electrical Integration: Work with the mechanical and electrical teams to design the integration unit that mounts sensors onto the robot in a plug-and-play way, within SWaP-C constraints.
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Ruggedization: Own mounting and enclosure design, including IP ratings and ruggedization, so modules hold up in harsh field conditions.
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Data Pipelines: Build and maintain data pipelines that turn sensor captures into registered, georeferenced point clouds and photogrammetric reconstructions for the Insights team.
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Testing & Validation: Test sensor performance, calibration accuracy, and point cloud repeatability under real-world conditions, vibration, shock, and lighting, before deployment.
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Production Quality: Support incoming quality checks and production consistency for ruggedized sensor modules as they scale across multiple robots.
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Systems-Level Optimization: Act as the systems-level owner who prevents siloed, locally-optimized solutions, finding the truly optimal fix across domains.
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Cross-Disciplinary Coordination: Serve as the connective point between Autonomy, Insights, Mechanical, and Electrical, keeping sensor payload decisions aligned across the organization.
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Team Leadership & Roadmap: Oversee and mentor junior mechanical and electrical engineers, and contribute to sensor and hardware roadmap and vendor strategy.
2. Module Hardware Design
3. Data Processing & Validation
4. Ownership & Leadership
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Education: B.S., M.S., or Ph.D. in Mechanical Engineering, Electrical Engineering, Robotics, or a related field.
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Experience Level: We're targeting 9+ years of experience for a senior to staff-level role, though we may consider more junior candidates with the right profile.
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Cross-Domain Engineering: Strong foundation across mechanical design, electrical design, and sensor hardware, with the breadth to work across all three.
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Data & Signal Processing Fluency: Working knowledge of point cloud and signal processing sufficient to evaluate software-based solutions to hardware problems.
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Systems-Level Optimization: Demonstrated ability to work across engineering domains and drive system-level, not just component-level, optimization.
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Sensor Knowledge: Deep familiarity with the sensor and geospatial-intelligence landscape, including LiDAR, cameras, thermal imaging, and gas detection.
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Mechatronics & Integration: Experience with electromechanical integration, mounting, enclosures, IP ratings, and connectors for ruggedized sensor payloads.
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Cross Functional Communication: Strong communicator able to arbitrate between teams that each see only their own piece of the solution space.
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Leadership: Experience managing or mentoring junior engineers on detailed design execution.
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Sensor Depth: Direct experience with sensors such as LiDAR, gas detection, thermal imaging, or PTZ camera systems.
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Field Robotics: Experience working with field robots subject to vibration, shock, or harsh environmental conditions such as construction or industrial sites.
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Mapping & Reality Capture: Familiarity with point cloud registration, photogrammetry and reconstruction, digital twin and BIM workflows, and deviation or change detection for environment mapping.
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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.
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Industry Exposure: Experience in construction, manufacturing, industrial, mining, or oil and gas environments, including hazardous-area (ATEX, IECEx, Class I Div 1/2) considerations.
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Research to Production: Experience taking sensor or perception work from research and algorithm development through to production deployment.
About this listing
- Source: FieldAI's official careers site (via Lever) · last confirmed on the source 27 Oct 2026
- Posted 20 Jul 2026
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What they are looking for
Skills & requirements
Qualification
B.S., M.S., or Ph.D. in Mechanical Engineering, Electrical Engineering, Robotics, or a related field.
Department · Engineering
Hiring company
FieldAI
FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.
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