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 :

- Strong proficiency in C++ and OpenCV.

- Strong 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.

- Strong 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-vision analysis and dataset processing is preferred.

- Knowledge of RANSAC and geometric model fitting is preferred.

- Knowledge of filtering and temporal pose stabilization techniques is preferred.

- Experience with optical tracker calibration and system characterization is preferred.

- Understanding of real-time processing, frame synchronization, timestamps, and latency management.

- Strong analytical and problem-solving skills.

- Strong attention to numerical accuracy, coordinate consistency, and measurement reliability.

- Strong documentation and communication skills.

- Ability to work effectively with software, hardware, embedded, biomechanics, clinical, and QA teams.

- Comfortable working daily with physical cameras, optical trackers, instruments, fixtures, and laboratory navigation systems.

- Passion for computer vision, surgical robotics, optical tracking, immersive technologies, and healthcare innovation.