Computer Vision Specialist – Feature Detection & Real-Time Image Algorithms

Computer Vision Specialist – Feature Detection & Real-Time Image Algorithms

Full-Time | Core Team

LAT Aerospace | Perception & Autonomy

At LAT Aerospace, we’re building India’s first clean-sheet hybrid-electric STOL aircraft and a next-generation autonomy stack powering aircraft for complex missions. Our team is kicking off a new chapter — developing the full flight-control, obstacle-avoidance, GNSS-denied navigation, and swarm-coordination layers that will define LAT’s autonomy architecture.

You will design and implement real-time CV algorithms for extracting features, tracking structure, and generating robust visual cues for localization, mapping, and inter-drone relative positioning. This role sits at the heart of our autonomy architecture.

What you’ll do?

• Develop real-time computer vision algorithms using OpenCV and custom geometric vision pipelines for feature detection, feature tracking, keypoint extraction, and visual correspondence.
• Build robust visual processing modules for edge devices — capable of handling motion blur, lighting variation, small textures, low-altitude flight perspectives, and high-dynamic maneuvers.
• Extract structural cues (edges, corners, lines, descriptors) that drive VIO, SLAM, and GNSS-denied navigation pipelines.
• Implement multi-view geometric vision including epipolar geometry, homography estimation, essential matrix computation, and depth inference from motion.
• Optimize CV algorithms for embedded Linux systems and edge compute: SIMD, ARM optimizations, memory/latency efficiency.
• Develop visual debugging tools for inspection of keypoints, flow fields, descriptors, and algorithmic performance in real flight datasets.

What we're looking for?

• Strong experience in classical computer vision, particularly feature detection, extraction, tracking, and geometric vision.
• Expertise with OpenCV, custom CV pipelines, and real-time image processing.
• Strong knowledge of epipolar geometry, camera models, triangulation, motion estimation, or similar domains.
• Strong Python and/or C++ experience for vision algorithms.
• Experience optimizing algorithms on embedded hardware, GPUs, or constrained compute environments.
• Ability to evaluate algorithm robustness on real datasets and noisy field conditions.

Why LAT?

• Core-team role building the autonomy brain of India’s most ambitious aerospace startup.
• Ownership, speed, and the opportunity to define a new class of systems from scratch.