Vision Software Engineer

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Transcelestial seeks a Vision Software Engineer to develop computer vision and image processing algorithms for satellite payloads and space systems. You will fix issues and introduce improvements to meet mission requirements, including pointing, acquisition, and tracking.

Responsibilities include architecture ownership for CV, algorithm development for beacon tracking, and end-to-end integration with ground stations and client buses.

Qualifications

• 2+ years in computer vision, image processing, or algorithm engineering.
• Hands-on with edge devices in space, aerospace, or autonomous platforms.
• Strong problem-solving and troubleshooting under time pressure.
• Excellent communication and collaboration in diverse teams.
• Experience with AI-powered development tools is a bonus.

Responsibilities

• Own computer vision and image processing architecture for satellite missions.
• Collaborate with stakeholders to align mission requirements.
• Lead CV activities for free-space optical terminals and target tracking.
• Design and validate embedded vision subsystems with HIL testing.
• Lead software-hardware integration and calibration of sensors.
• Deliver core vision projects on tight timelines.
• Operate and improve optical ground stations.

Skills

Computer vision

Image processing

Algorithm engineering

C++

Python

OpenCV

ROS 2

Git

Linux

Edge devices

Tools

Docker

CUDA

MATLAB

PyTorch

TensorFlow

Job description

Vision Software Engineer

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

Company Overview

Transcelestial’s vision is to improve the connectivity experience for the next billion people.