We're Hiring : Robotics & Vision Systems Engineer
Gurgaon | Full-Time | Core Team
LAT Aerospace | STOL Aircraft
At LAT Aerospace, we're building India's first clean-sheet Short Take-off and Landing (STOL) aircraft - designed to unlock access to hundreds of underutilized airstrips and redefine regional air mobility. We're looking for a sharp, versatile Robotics & Vision Systems Engineer to join our crew! The ideal candidate will be a hands-on robotics and computer-vision polymath who can build real-time video intelligence systems for airborne gimbals – from video compression and object detection to gimbal tracking algorithms and embedded optimization.
What you'll do
- Vision Algorithm Development : Develop and optimize real-time vision algorithms using OpenCV and deep-learning inference engines for object detection, classification, and tracking.
- Embedded AI Optimization : Build and optimize AI inference pipelines on embedded platforms such as NVIDIA Jetson, or similar accelerators.
- Video Processing : Implement and optimize low-latency video compression and streaming pipelines (H.264 / H.265, RTP / RTSP) for airborne video links.
- Gimbal Control : Design and tune closed-loop tracking algorithms for EO / IR gimbal systems, integrating camera feedback, IMU, and autopilot telemetry.
- Tracking Systems : Develop classical tracking approaches, including Kalman filters, optical flow, feature tracking, and deep-learning trackers like DeepSort / ByteTrack.
- System Integration : Integrate cameras, gimbal controllers, and onboard avionics to create robust, end-to-end perception systems.
- Testing & Validation : Prototype, test, and validate algorithms under real flight and field conditions.
- Collaboration : Work closely with autonomy, avionics, and RF teams to ensure high-performance video intelligence.
What we're looking for
Experience : 5+ years of experience in computer vision, robotics, or embedded AI.Core CV Skills : Strong command of image processing and classical computer vision algorithms using OpenCV.Deep Learning : Experience with deep-learning inference frameworks (TensorRT, ONNX Runtime, PyTorch).Embedded Expertise : Proficiency in C++ and Python for real-time CV / AI workloads and hands-on experience with embedded accelerators (CUDA, NPU, DSP) and platforms (Jetson's).Video & Streaming : Solid understanding of video compression, streaming protocols, and latency management.Tracking & Dynamics : Hands-on experience with closed-loop tracking, gimbal dynamics, and stabilization systems.Field Experience : Proven ability to test, debug, and tune algorithms in real-world field and flight environments.Bonus : Experience with SLAM, visual-inertial fusion, multi-sensor fusion, or Intelligence, Surveillance, and Reconnaissance (ISR) payload systems.
Why join LAT
Core team opportunity at a high-conviction aerospace startupReal hardware, real prototypes, and real flight testsBuild the future of sustainable aviation in IndiaSkills Required
Rtp, Rtsp, h.264, Dsp, Opencv, Cuda, Python