Computer Vision Engineer

Hansa Aerospace India Private Limited; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Hansa Aerospace India Private Limited in Bengaluru is seeking a senior computer vision engineer to design and deploy real-time vision-based navigation components for aerospace applications. You will work with embedded hardware and flight-control teams to meet strict latency budgets.

The role requires a strong background in visual odometry, terrain-referenced navigation, or object tracking, plus proficiency in Python and C++ and CV/ML frameworks.

Qualifications

• Required qualifications include a B.Tech or M.Tech in Computer Vision, Robotics, or a related field.
• 5+ years of 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.

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 varied real-world conditions and validate degradation modes
• Own the compute and latency budget for the vision pipeline within real-time system constraints

Skills

Applied computer vision

Visual odometry

Terrain-referenced navigation

Object detection/tracking

Python

C++

CV/ML frameworks

Education

B.Tech/M.Tech in Computer Vision, Robotics, or related field

Job description

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 varied 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