Computer Vision Engineer

1 week ago

bangalore, India VTOL AVIATION INDIA PRIVATE LIMITED Full time

VTOL Aviation India Pvt. Ltd. is a defence-grade UAV and advanced aerial systems manufacturer, specializing in indigenous unmanned platforms, electro-optical payloads, onboard cameras, AI-enabled subsystems, and mission-critical in-house software. We build next-generation UAVs for surveillance, mapping, tactical operations, and autonomous missions aligned with Make in India and future-ready military requirements.We are expanding our perception and autonomy engineering team to strengthen UAV navigation, vision intelligence, and real-time onboard processing.Key ResponsibilitiesDeploy and optimize AI/ML computer vision models on edge compute platforms such as NVIDIA Jetson (Nano/Xavier/Orin), Hailo, and other AI accelerators.Build and accelerate perception, mapping, and sensor-fusion pipelines using CUDA, TensorRT, GPU frameworks, and real-time optimizations for UAV flight environments.Develop, integrate, and fine-tune Visual Odometry (VO) and SLAM algorithms for autonomous navigation and GPS-denied operations.Work with various camera systems, including mono, stereo, gimbal-mounted EO sensors, and high-speed image pipelines used in UAV payloads.Collaborate with hardware, flight-control, and autonomy teams to ensure seamless integration of perception modules with UAV avionics.Manage real-time networking, data streaming, and low-latency communication between onboard compute and ground control systems.Perform system-level testing, tuning, and verification on actual UAV platforms.Contribute to in-house development of perception, mapping, and autonomy subsystems, aligned with VTOL's product roadmap.Technical SkillsStrong proficiency in GPU programming – CUDA, TensorRT, OpenCL, or similar frameworks.Hands-on experience in deploying AI/ML vision models on edge hardware (Jetson/Orin/Hailo/Coral).Practical experience with VO/SLAM frameworks such as ORB-SLAM, VINS-Fusion, RTAB-Map, OKVIS, etc.Solid command over Python & C++ for robotics and high-performance computing.Strong understanding of computer vision algorithms, camera calibration, multi-camera setups, and EO payload workflows.Experience with real-time communication protocols, data streaming, and onboard-to-ground data links.Basic working knowledge of ROS/ROS2, sensor drivers, and robotic middleware.Educational BackgroundBachelor's/Master's degree in Robotics, Computer Engineering, Computer Vision, Electronics, or related disciplines.Experience of 2-3 years preferred.Interested candidates may email their resume with cover letter and details of existing CTC, expected CTC and notice period to hr@vtolaviations.com

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