We're Hiring: Computer Vision Specialist
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.
Top Skills
What We Do
Imagine a world where flying is as easy as taking a bus. A world where air travel isn't just for the major cities, but for everyone, everywhere. No more congested hubs, no more wasted hours in security lines—just seamless, affordable, on-demand flights connecting thousands of destinations that the world has ignored for too long.
We are building the future of mass aviation: a network of high-frequency, low-cost, 8 seater, STOL (short take-off and landing), medium-haul aircraft that make every city, every town, and every community accessible—without compromise.
Powered by next-generation aircraft, designed ground-up for efficiency, built for affordability, and future-proofed for autonomy, we are aiming to rewrite the rules of flight.
Our aircraft will take off and land in compact "air-stops" no bigger than a parking lot—no baggage belts, no security bottlenecks—eliminating the need for complex, expensive airport infrastructure that regional air travel simply doesn't require.
No more waiting. No more detours. No more being forced to drive when you should be able to fly. This isn't the impractical supersonic future of aviation as you are made to believe. This is the real future of aviation that our communities need.
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We are hiring
We’re building a next-gen aerospace company — from scratch.
Our Aircraft team is leading the development of our 8-seater hybrid-electric aircraft, spanning design, prototyping, systems integration, testing, and everything in between.
Our GTE team is focused on building a world-class gas turbine engine. We're especially looking for folks with experience in turbines, rotors, control systems, or anything close.
If you want to build something ambitious and enduring, write to us:
[email protected] (for Aircraft)
[email protected] (for GTE)
