Lumotive is pioneering the era of programmable optics—where light is controlled as intelligently and flexibly as software.

At the heart of this transformation is a once-in-a-generation innovation: a flat CMOS-based “general purpose optic.” Lumotive’s Light Control Metasurface (LCM™) beam forming chips can be programmed to function as a beam steering mirror, a lens, mirror, a beam splitter—or any optical function—replacing bulky and mechanical optical components with a fully digital, reconfigurable semiconductor . This breakthrough lays the foundation for a massive shift in multiple technologies—from 3D sensing and imaging to optical networking, free space optical communication, and beyond. Like the shift from analog to digital in electronics, programmable optics will reshape industries from robotics, self-driving cars, AI, defense, and healthcare.

Lumotive’s first commercial application is in LiDAR, where its software-defined beam steering chips are already enabling compact, high-performance, solid-state sensors. These sensors are being deployed today in smart infrastructure, robotics, and mobility systems through leading module makers and solution integrators.

With more than 200 patents and growing commercial traction, Lumotive is delivering the world’s first digital platform for light—and redefining what’s possible in the optical age.

Job Description:

Support development, testing, and customer use of Lumotive LiDAR systems through Python scripting, API-level integration, and data analysis. This role works at the interface of software, hardware, and customer applications.

### Responsibilities:

Develop Python scripts and tools for LiDAR testing and automation and data capture and processing
Work with LiDAR APIs and GUIs to configure sensors and run experiments and test scenarios
Analyze point cloud and sensor data for basic visualization and identifying issues and anomalies
Support customer use of dev kits including setup, configuration, and troubleshooting
Assist in building and maintaining test scripts and workflows as well as datasets for evaluation and demos
Interface with test stations and lab equipment and basic automation setups
Collaborate with systems and applications engineers on debugging issues and validating system behavior

### Qualifications:

Bachelor’s degree in Engineering, Electrical, Computer Science or related field
0–3 years of experience in software engineering or related field
Strong proficiency in Python scripting
Basic understanding of API’s and software interaction as well as data structures and debugging
Comfortable working close to hardware (not purely backend/software role)
Exposure to LiDAR / 3D sensing / robotics and ROS or point cloud tools (e.g., Open3D, PCL) is preferred
Basic knowledge of C / embedded C and Linux environments is preferred
Candidates must be Omani Nationals

Engineer, Software – LiDAR Applications

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