Job Title: Senior Computer Vision Engineer
Department: Immersive Technologies
Location: Vapi, Gujarat.
Reports To: Immersive Technologies Lead
Experience: 5–8 Years

Job Purpose:
To take technical ownership of computer vision, optical tracking, camera calibration, and 6-DOF pose estimation for Immersive Technologies' next-generation Computer-Assisted Navigation solutions across workstation platforms.
The role will develop and validate robust optical tracking systems that convert camera observations, fiducial/marker information, and optical tracker measurements into accurate, stable, and time-synchronized 3D poses for surgical navigation.

The role requires a highly quantitative approach to computer vision engineering, with emphasis on detection reliability, pose stability, latency, reprojection error, coordinate-frame consistency, calibration, reacquisition, and regression-tested performance rather than subjective visual tuning.

Skills and Competencies:
Robust proficiency in C++ and OpenCV.
Robust understanding of camera calibration and camera models.




Strong knowledge of PnP, rigid-body pose estimation, fiducial/marker detection, and optical tracking.
Strong understanding of 3D geometry and coordinate transformations.
Strong knowledge of homogeneous transformation matrices and multi-frame coordinate chains.
Strong understanding of camera-to-tracker, tracker-to-instrument, and tracker-to-anatomy transformations.
Experience with infrared cameras, optical tracking spheres, fiducial markers, or metrology systems.
Solid quantitative approach to computer-vision evaluation.
Experience measuring detection accuracy, pose jitter, latency, reprojection error, and tracking reliability.
Strong debugging skills across native C++, OpenCV, Android, and desktop environments.
Experience with JNI/NDK and native library integration is preferred.
Experience with Android Camera2 or desktop camera SDKs is preferred.
Experience with Python for offline computer-v

📌 Senior Computer Vision Engineer Vapi
🏢 Meril
📍 Vapi