Computer Vision Engineer

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 Responsibilities

• Deploy 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 Skills

Educational Background

Interested candidates may email their resume with cover letter and details of existing CTC, expected CTC and notice period to hr@vtolaviations.com