Summary Transcelestial’s vision is to improve the connectivity experience for the next billion people. We believe that connectivity is a human right and Transcelestial is on a mission to solve the problem of internet distribution and provide affordable, high-speed internet to everyone. Transcelestial’s next-generation wireless laser communication technology is one of the most effective solutions in the distribution of high-quality, high-speed internet connectivity, making it well-poised to solve civilization’s long-term communication needs - and ultimately improve connectivity for 1 billion users globally. Highly reliable and secure, its light-weight, shoe-box sized CENTAURI device leverages its proprietary laser technology to create a wireless distribution network and can be quickly, easily and cost-effectively installed on any standard telecom pole or tower at a faster time-to-market than standard fiber-optic cable. Over the longer-term, Transcelestial aims to develop a constellation of small satellites positioned in Low Earth Orbit, allowing their laser network to not only beam across cities but upwards to connect continents across the world too. Our Values L ean & Simple. Our products are simple to use, we focus on what matters, we solve issues one by one and we spend smart. A pproachable. Whoever you are, wherever you come from, don’t be shy! The best ideas can come from anywhere in the organisation. S upportive. We are a bunch of smart individuals delivering at their best working in teams. If you face an issue, you can be sure someone will jump in and help you. E nd user obsessed. Customers and end users are at the core of everything we do. R elentless innovators. Our technology is at the forefront of innovation. We are curious, we question everything, we love research and are passionate about the next big thing. About the role The Vision Software Engineer will develop computer vision and image processing algorithms for Transcelestial’s satellite payloads and space systems. The Vision Software Engineer will also support computer vision requirements for space missions by fixing issues and introducing improvements. As a Vision Software Engineer, you will: Take ownership of the computer vision and image processing architecture for an initial upcoming satellite mission and terrestrial deployments, guiding the team with your practical experience Interact closely with internal stakeholders and external partners to ensure mission requirements (specifically regarding pointing, acquisition, and tracking) are clearly communicated and executed Lead computer vision activities for free space optical communication terminals, taking charge of algorithm development for target detection, beacon tracking, atmospheric turbulence mitigation, and background noise rejection Design and validate embedded vision subsystems and image processing pipelines for space and ground segments, utilizing hardware-in-the-loop (HIL) testing, edge compute optimization, and real-time performance analysis Manage and lead software-hardware integration and test procedures, ensuring successful calibration of optical sensors, camera systems, and seamless payload integration into client satellite buses and optical ground stations Deliver core first-phase vision processing projects on an aggressive timeline within 30 days Operate, troubleshoot, and improve Transcelestial’s optical ground stations What you will bring: More than 2 years of relevant working experience: Computer vision, image processing, and algorithm engineering, with hands-on experience deploying code to edge devices in space, aerospace, or autonomous platforms Extremely strong problem-solving and troubleshooting skills, especially in unfamiliar and time-sensitive situations Willing to go above and beyond, with grit. Strong attention to detail, a meticulous and highly-organized character, and no ego Keen ability to make engineering trade-offs and assess risks with respect to business objectives Strong verbal/written communication and presentation skills Ability to thrive while working with a diverse team from different backgrounds in a highly collaborative, time-sensitive environment Active use of AI-powered development tools to accelerate the software development lifecycle, including code generation, refactoring, debugging, and testing Working knowledge of Git Good knowledge of Linux (Debian) Experience with computer vision libraries and programming languages (e.g., C/C++, Python, OpenCV)…