Key responsibilities

- Design and implement vision-based navigation techniques to improve positioning accuracy
- Develop target detection and tracking capability for terminal-phase guidance
- Work with the flight-control team to fuse vision-derived data into the navigation solution
- Select and integrate onboard camera/sensor hardware within program size, weight, and power constraints
- Characterize system performance under diverse real-world conditions and validate degradation modes
- Own the compute and latency budget for the vision pipeline within real-time system constraints

Required Qualifications

- B.Tech/M.Tech in Computer Vision, Robotics, or related field
- 5+ years applied computer vision experience, ideally with embedded/real-time deployment
- Strong background in visual odometry, terrain-referenced navigation, or object detection/tracking
- Proficiency in Python/C++ and standard CV/ML frameworks, with a track record of deploying on constrained hardware

Good to have
- Experience with scene-matching or similar terminal guidance techniques
- Prior GNSS-denied navigation work
- Embedded GPU/edge-inference deployment experience

📌 Computer Vision Engineer (Bengaluru)
🏢 Hansa Aerospace India Private
📍 Bengaluru