Computer Vision Engineer

Role:

Computer Vision Engineer - Astronomical Image Processing

Function:

Engineering

Bangalore

Full-time

Industry:

Aviation & Aerospace

About Company

A venture-backed startup founded in 2023, revolutionizing the space component supply chain. The company delivers low-cost, reliable spacecraft components for LEO satellites.

They specialize in Attitude Determination and Control System components like reaction wheels, star trackers, and torque rods. The team of 6 engineers has raised $2.2M and operates across the US and India.

They're helping satellite manufacturers reduce costs and lead times while making high-quality space components more accessible.

Position Overview

You'll develop cutting-edge image processing algorithms that power ground-based telescopes for satellite navigation systems. You'll design ML/DL models for astronomical object detection, focusing on star tracking and celestial object classification that directly supports the company's ADCS systems. This role offers direct impact on space technology that keeps satellites operational, with exposure to both hardware integration and algorithm optimization for real-sky conditions.

Role & Responsibilities

You design and develop high-performance ML/DL models for object detection in astronomical images, identifying stars as spots/blobs and objects as streaks/lines

You implement detection and classification algorithms to distinguish between stellar blobs and object streaks with sub-pixel accuracy

You train and test models using synthetic and real astronomical image datasets

You document model performance evaluation and report coordinate retrieval with sub-pixel precision

You optimize algorithms for real-sky conditions including various signal and noise environments

You collaborate with hardware teams to integrate image processing solutions with ADCS components

You deliver technical documentation and briefings on algorithm performance and implementation

Must Have Criteria

Bachelor's or Master's degree in Electronics, Physics, Data Science, Astronomy, or related technical field

0-1 years of experience with image processing algorithms and machine learning (fresh graduates welcome)

Strong proficiency in Python with Object-Oriented Programming (OOP) implementation skills

Academic or project experience with CNN architectures for object detection and classification

Hands-on experience with PyTorch and TensorFlow/Keras through coursework or personal projects

Familiarity with scientific Python libraries: Astropy, Scikit-learn, and SciPy

Strong analytical and problem-solving skills with ability to learn independently

Nice to Have

Understanding of astronomical images and signal/noise conditions in real-sky imaging

Knowledge of Bayesian methods and probabilistic models for orientation estimation

Experience with OpenCV for computer vision tasks and image preprocessing

Git repository management experience and version control best practices

Academic projects or internships in aerospace, astronomy, or satellite imaging applications

What We Offer

Opportunity to work on cutting-edge space technology at a venture-backed startup

Direct impact on revolutionizing the space component supply chain

Collaborative environment with experienced engineers from high-volume scaleups

Exposure to both US and India operations in the growing commercial space ecosystem

Ground-floor opportunity in a mission-focused, rapidly scaling organization