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.

Responsibilities

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) for real-time sensor processing and algorithm development
Proficient in programming in Python and C++
Comfortable working with the command line
Experience working with Docker
Experience working with ROS 2

It's a Bonus If You

Have full lifecycle experience building a computer vision system for a satellite mission, space optical payload, or high-precision optical ground station
Bring extensive experience in sensor calibration, camera integration, and hardware-in-the-loop (HIL) testing
Demonstrate drive and capability to expand software deployment processes from prototyping to highly reliable, scaled field systems
Have acquired expertise in one or more of the following areas: Pointing, acquisition, and tracking (PAT), star trackers, AOCS/GNC, adaptive optics, sensor fusion, or machine learning for edge devices
Are proficient with industry-standard tools and frameworks such as CUDA, ROS, MATLAB, PyTorch, or TensorFlow
Have expertise in real-time operating systems (RTOS), embedded Linux, or FPGA/GPU image processing, strongly applied to optical or space payloads