Mid/Senior Visual Navigation Engineer

About Areg.ai

Areg.ai is a pioneering tech company at the intersection of renewable energy, AI, and smart infrastructure. We are developing a next-generation software platform to monitor, automate, and optimize the performance of solar power plants across the globe. Our vision is to revolutionize how clean energy assets are operated using advanced analytics, IoT, and intelligent control systems.

As a rapidly growing company backed by an ambitious roadmap and an exceptional founding team, Areg.ai offers a unique opportunity to build impactful, industry-shaping technology - and we want you to be part of it.

The Role

You’ll design, build, and iterate on Areg.ai’s visual navigation system for GPS-denied solar plant environments. This is a hands-on, full-cycle role spanning computer vision, robotics, visual localization, map matching, algorithm evaluation, and production integration. You’ll use camera input and pre-built maps - orthomosaics, site maps, or 3D maps - to estimate position and orientation and support reliable navigation without GPS.

You’ll work closely with AI, backend, product, and field operations teams to create a scalable navigation platform for drones, robots, and inspection workflows across utility-scale solar plants.

What You’ll Do

• Design and implement visual localization and navigation pipelines using camera input and pre-built maps, without relying on GPS.
• Build robust map-matching against orthomosaics, drone imagery, site maps, and 3D or digital twin representations of solar plants.
• Develop algorithms for visual odometry, SLAM/VIO, feature matching, image retrieval, pose estimation, and relocalization.
• Integrate camera-based localization with path planning, inspection workflows, and real-world operational constraints.
• Establish evaluation and QA frameworks to measure localization accuracy, robustness, latency, and failure modes.
• Build data collection, annotation, simulation, and field-testing workflows for real-world solar plant environments.
• Collaborate cross-functionally with AI engineers, backend engineers, field operators, and product managers.
• Continuously monitor and improve system performance, including edge-device constraints, scalability, and reliability.

You’re a Great Fit If You Have

• BSc / MSc / PhD in Computer Science, Mathematics, Robotics, Electrical Engineering, or a similar field.
• Strong Python and/or C++ skills with hands-on experience building computer vision, robotics, or perception systems.
• Experience with visual localization, visual odometry, SLAM, VIO, structure-from-motion, or map-based relocalization.
• Familiarity with geospatial data, orthomosaics, coordinate systems, image registration, and map alignment.
• Experience with OpenCV and tools such as ROS, COLMAP, OpenSfM, ORB-SLAM, RTAB-Map, or similar.
• Strong understanding of algorithm evaluation, error analysis, data collection, and real-world testing workflows.
• Excellent communication skills, curiosity, and rigor around reliability, determinism, safety, and failure handling.

Nice to Have

• Understanding of camera geometry, calibration, epipolar geometry, homography, PnP, feature matching, and bundle adjustment.
• Knowledge of solar energy systems, drone or robot inspection workflows, IoT telemetry, or O&M operations.
• Experience with GPS-denied navigation, sensor fusion with IMU/odometry, or localization under weak/no GNSS conditions.
• Experience with real-time deployment on edge devices, embedded GPUs, or resource-constrained hardware.
• Familiarity with photogrammetry, 3D reconstruction, LiDAR, NeRF/Gaussian Splatting, or map generation workflows.

Why Join Areg.ai

• Be part of something bigger:

Help shape the future of sustainable energy through smart, automated infrastructure.

• Fast-track your growth:

Join a highly motivated team with a startup spirit and global vision.

• Cross-disciplinary collaboration

: Work alongside AI developers, energy analysts, hardware engineers, and data scientists.

• Make an impact:

Your work will be deployed across utility-scale solar power plants, directly contributing to energy transition goals.

• Competitive compensation and future stock options as part of a growing venture-backed company.