Computer Vision Engineer

Omnipresent Robot Technologies; Dadri; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Omnipresent Robot Technologies is seeking a Computer Vision Engineer to develop, test, and deploy visual navigation systems for drones operating in challenging environments.

You will design robust perception algorithms, fuse multi-sensor data, and optimize real-time onboard vision solutions, collaborating with autonomy and flight-controls teams.

Qualifications

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical/Electronics Engineering or related field.
• Strong experience with computer vision algorithms (OpenCV, visual odometry, SLAM, object detection).
• Proficient programming in Python and C++; embedded/GPU-accelerated vision (CUDA, TensorRT, ONNX) a plus.
• Practical experience in drone/UAV or robotic vision systems.
• Understanding of sensor fusion for multi-modal data integration.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Develop and implement computer vision algorithms for real-time drone localization, mapping, and navigation.
• Work on visual odometry, optical flow, and SLAM for autonomous flight.
• Integrate vision data with IMU, LiDAR, and other sensors for accurate pose estimation.
• Optimize perception algorithms for embedded platforms.
• Collaborate with autonomy and flight controls teams for system integration.
• Evaluate and calibrate camera/sensor configurations for challenging environments.
• Conduct simulation and real-world testing to validate performance.
• Stay updated on CV advancements and contribute innovations.
• Maintain clear technical documentation and reports.

Skills

OpenCV

Visual odometry

Optical flow

SLAM

Object detection

Python

C++

Embedded vision

Sensor fusion

Education

Bachelor's or Master's degree in Computer Science, Robotics, Electrical/Electronics Engineering

Tools

CUDA

TensorRT

ONNX

ROS

Job description

The Computer Vision Engineer will develop, test, and deploy visual navigation systems for drones operating in challenging environments. The role involves designing robust perception algorithms, fusing multi-sensor data, and optimizing vision-based solutions for real-time, onboard execution.

Key Responsibilities

• Develop and implement computer vision algorithms for real-time drone localization, mapping, and navigation in challenging situations.
• Work on visual odometry, optical flow, and SLAM (Simultaneous Localization and Mapping) for reliable autonomous flight.
• Integrate and fuse vision data with IMU, LiDAR, and other onboard sensors for accurate pose estimation
• Optimize perception algorithms for deployment on embedded, resource-constrained platforms.
• Collaborate with the autonomy and flight controls teams to ensure system-level integration and robust field performance.
• Evaluate, select, and calibrate camera and sensor configurations for challenging environments.
• Conduct simulation-based and real-world testing to validate performance in diverse scenarios.
• Stay updated on advancements in computer vision and bring relevant innovations into project solutions.
• Maintain clear technical documentation, test plans, and reports.

Required Qualification

• Bachelor s or Master s degree in Computer Science, Robotics, Electrical/Electronics Engineering, or a related field.
• Strong experience with computer vision algorithms (OpenCV, visual odometry, optical flow, SLAM, object detection).
• Proficient programming skills in Python and C++; experience with embedded or GPU-accelerated vision (CUDA, TensorRT, ONNX) is a plus.
• Practical experience in drone, UAV, or robotic vision systems.
• Understanding of sensor fusion for multi-modal data integration.
• Excellent analytical, problem-solving, and communication skills.

Desired Skills

• Background in deep learning applied to perception tasks.
• Familiarity with robotics middleware (e.g., ROS), simulation environments, and hardware-in-the-loop testing.
• Knowledge of edge-AI deployment models, code optimisation, and real-time architecture.
• Experience in collaborative, multidisciplinary engineering environments.
• Proven track record of writing and maintaining well-documented code and technical documentation.