We are building a custom Star Tracker. The absolute core bottleneck of our system is processing camera images and matching the detected stars to a massive 3D star catalog database in real-time.

About the Role: We need a self-driven intern to research, design, and implement highly optimized Predictive Catalog Lookups and Attitude Estimation algorithms. This role focuses on minimizing computational complexity: using the prior frame's attitude to tightly bound the database search space, matching patterns rapidly, and updating the satellite's 3D orientation matrix/quaternion

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Responsibilitie
s:Design and implement highly optimized spatial database indexing structures (e.g., k-d trees, k-vector lookups, or localized spherical grids) to drastically reduce star search time




s.Develop a predictive tracking pipeline that uses the satellite’s previous attitude estimate to calculate a tiny "Window of Interest" (WOI) in the star catalog, bypassing global searche
s.Build robust star pattern-matching logic that handles spatial noise, missing stars, and false centroids from sensor
s.Estimate orientation to compute the updated attitude from the matched vector

s.
Qualificatio
ns:Robust grasp of data structures and algorithmic complexity (O(N) vs O(log N) or O(1) optimizatio
n).Solid foundation in linear algebra, 3D rotations (Quaternions, Matrix transformations), and coordinate geomet
ry.Proficiency in Python (for rapid prototyping) or C++ (for embedded executio
n).A self-starter who can dig into research papers on fast star identification techniques and code them from scrat

ch.

📌 Star Tracker Algorithm Designer (India)
🏢 Satlabs Space Systems
📍 India