greenhouse
Software Engineer I: Perception
Lodestar
Los Angeles, USA
Full-time
Entry · 0+ years experience
Onsite
USD 99000-174000 yearly / year
Discovered 1 weeks ago
PythonC++OpenCVCUDATensorRTAWS
Free
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Role Overview
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 real ownership early with the support to grow into it.
We proudly have an "extreme ownership" oriented engineering culture.
Key Skills for This Role
PythonC++OpenCVCUDATensorRTAWS
Full Job Posting
About Lodestar
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.
About the Job
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 real ownership early with the support to grow into it.
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