SHIELD SPACE

About the Company

We’re here to redefine space security by harnessing the lessons of modern drone warfare. Instead of enormous monolithic satellites, we envision agile, networked clusters of smaller spacecraft capable of manoeuvring, inspecting, and, if necessary, disrupting threats on a tactical timeline. Through focused R&D, targeted prototyping, and collaboration with trusted partners, we plan to deliver orbital defence solutions that are both flexible and cost-effective. Our ultimate aim is to empower decision-makers with real-time, autonomous oversight of critical orbits, turning space from a vulnerable frontier into a domain where sovereign control can be swiftly asserted.

Listed Jobs

Company Name

SHIELD SPACE

Job Title

Machine Vision Engineer

Job Description

**Job Title:** Machine Vision Engineer **Role Summary:** Develop and deliver flight‑ready machine vision models for autonomous spaceborne systems. Lead design, training, optimisation, and validation of AI models that run on constrained hardware, ensuring reliable real‑time performance in complex orbital environments. **Expectations:** * Deliver end‑to‑end model pipelines from data curation to deployment on embedded platforms. * Maintain high standards of quality, documentation, and continuous improvement. * Collaborate closely with control, autonomy, and systems teams to integrate vision into spacecraft operations. **Key Responsibilities:** * Design, train, optimise and benchmark computer‑vision and deep‑learning models for embedded autonomous systems. * Build, annotate and manage large datasets for training, validation and testing. * Evaluate model robustness, accuracy and inference latency on resource‑constrained compute platforms. * Integrate vision software into existing control and autonomy frameworks. * Support simulation and ground‑truth testing campaigns to validate performance under realistic conditions. * Document development processes, test results and contribute to AI engineering best practices. **Required Skills:** * Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics or related field. * Proven experience developing and deploying deep‑learning / computer‑vision models. * Strong programming skills in Python and C++; proficiency with PyTorch or TensorFlow. * Experience with large‑scale dataset processing, augmentation and evaluation. * Knowledge of model optimisation techniques (quantisation, pruning, compression) for embedded deployment. * Analytical problem‑solving ability, keen attention to detail, and focus on reliability. * Excellent written and verbal communication, capable of working in a multidisciplinary team. **Required Education & Certifications:** * Degree in Computer Science, Machine Learning, Robotics, or a closely related discipline. **Desired (but not required) Skills:** * Background in aerospace, robotics or other autonomous systems. * Familiarity with inference on embedded platforms (e.g., NVIDIA Jetson). * Experience with real‑time inference, hardware‑in‑the‑loop testing or classical computer‑vision algorithms. * Startup or early‑stage R&D experience. ---

Lincoln, United kingdom

Hybrid

23-11-2025