Lodestar is building the first autonomous AI fighter-pilot for space, to power in-orbit bodyguard satellites and deliver orbital defence as a service to high-value assets. Backed by Entrepreneur First.
About the role
As a Software Engineer I - Perception at Lodestar, you’ll be joining the perception and machine vision teams to rapidly grow our vision and perception models at MITHRIL’s center.
What they're looking for
- Bachelor's or Master's degree in AI/ML, Computer Science, Robotics, a related field, or equivalent experience
- 0–2 years of professional experience in machine learning, robotics, computer vision, or a related field. Internships, research placements, and substantial academic or personal projects all count
- Solid software engineering skills in Python, and working proficiency in C++
- Foundational DNN/ML knowledge and hands-on experience with computer vision or image processing libraries (e.g. OpenCV)
- Demonstrated ability to take an ML model from training through to evaluation, in any setting — coursework, research, or industry
More about this role
Lodestar's mission is to develop the first "Protect and Defend" capability for high-value space assets in orbit. Our flagship product MITHRIL is the critical hardware & software necessary to augment any off-the-shelf spacecraft with the ability to autonomously detect, characterise, and reversibly neutralise orbital threats. By building on the proven space heritage of our best-in-class satellite-bus partners and fully integrating MITHRIL as a single platform, we deliver a fully autonomous end-to-end protection spacecraft service.
As a Software Engineer I - Perception at Lodestar, you’ll be joining the perception and machine vision teams to rapidly grow our vision and perception models at MITHRIL’s center.
You'll help build and refine algorithms that detect, classify and understand unknown space targets in real time. Working alongside senior perception engineers, you'll combine computer vision, image processing and machine learning to develop the custom models that underpin autonomous decision-making in complex and uncertain space environments.
This is an early-career role. We're looking for strong fundamentals and fast learning rather than a long track record, and you'll be given...
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