Computer Vision Engineer
Type
USPosition Overview:
We are seeking a highly capable Computer Vision Engineer with over 5 years of experience to lead the development of advanced visual perception systems for autonomous platforms such as UAVs, robots, and smart sensors. You will be responsible for designing and implementing robust computer vision algorithms that enable real-time scene understanding, tracking, and decision-making in dynamic environments.
Responsibilities:
- Design, develop, and optimize computer vision algorithms for object detection, tracking, segmentation, and 3D perception.
- Work with stereo vision, monocular SLAM, depth estimation, optical flow, and visual odometry techniques.
- Integrate vision systems with embedded hardware or robotic platforms for real-time processing.
- Collaborate with sensor fusion, localization, and AI teams to build holistic perception pipelines.
- Train and fine-tune deep learning models (CNNs, Transformers, etc.) for vision tasks using datasets from field testing.
- Deploy models and vision pipelines onto edge devices (NVIDIA Jetson, ARM SoCs, etc.) using frameworks such as TensorRT or OpenVINO.
- Perform testing and benchmarking in real-world conditions, including data collection, annotation, and performance evaluation.
- Document algorithms, test procedures, and performance results clearly and comprehensively.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- 5+ years of experience in computer vision development for real-time systems.
- Strong proficiency in Python and C++ with experience in OpenCV, ROS, and deep learning frameworks (PyTorch, TensorFlow).
- Experience with visual SLAM, multi-view geometry, feature extraction, and camera calibration.
- Familiarity with 2D/3D object detection, semantic segmentation, and tracking algorithms.
- Understanding of image processing, camera models, and perspective geometry.
- Experience working with hardware platforms for edge deployment and optimization.
Preferred Qualifications:
- Experience in UAV, robotics, autonomous driving, or AR/VR vision applications.
- Knowledge of sensor fusion (IMU, LiDAR, GPS) for visual-inertial systems.
- Experience with simulation environments (Gazebo, Unity, Isaac Sim) for vision testing.
- Familiarity with MLOps and dataset management pipelines.
- Contribution to open-source computer vision projects or publications in relevant fields.
What We Offer:
- Opportunity to work on real-world autonomous systems with significant impact.
- Dynamic, research-driven environment with collaboration across multiple disciplines.
- Access to cutting-edge hardware, tools, and datasets.
- Competitive compensation and full benefits package.
- Career growth in applied AI, vision, and robotics domains.
Additional Information:
- This position may require eligibility for government or defense-related security clearance.
- Only shortlisted candidates will be contacted.
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Computer Vision Engineer
Position Overview:
We are seeking a highly capable Computer Vision Engineer with over 5 years of experience to lead the development of advanced visual perception systems for autonomous platforms such as UAVs, robots, and smart sensors. You will be responsible for designing and implementing robust computer vision algorithms that enable real-time scene understanding, tracking, and decision-making in dynamic environments.
Responsibilities:
- Design, develop, and optimize computer vision algorithms for object detection, tracking, segmentation, and 3D perception.
- Work with stereo vision, monocular SLAM, depth estimation, optical flow, and visual odometry techniques.
- Integrate vision systems with embedded hardware or robotic platforms for real-time processing.
- Collaborate with sensor fusion, localization, and AI teams to build holistic perception pipelines.
- Train and fine-tune deep learning models (CNNs, Transformers, etc.) for vision tasks using datasets from field testing.
- Deploy models and vision pipelines onto edge devices (NVIDIA Jetson, ARM SoCs, etc.) using frameworks such as TensorRT or OpenVINO.
- Perform testing and benchmarking in real-world conditions, including data collection, annotation, and performance evaluation.
- Document algorithms, test procedures, and performance results clearly and comprehensively.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- 5+ years of experience in computer vision development for real-time systems.
- Strong proficiency in Python and C++ with experience in OpenCV, ROS, and deep learning frameworks (PyTorch, TensorFlow).
- Experience with visual SLAM, multi-view geometry, feature extraction, and camera calibration.
- Familiarity with 2D/3D object detection, semantic segmentation, and tracking algorithms.
- Understanding of image processing, camera models, and perspective geometry.
- Experience working with hardware platforms for edge deployment and optimization.
Preferred Qualifications:
- Experience in UAV, robotics, autonomous driving, or AR/VR vision applications.
- Knowledge of sensor fusion (IMU, LiDAR, GPS) for visual-inertial systems.
- Experience with simulation environments (Gazebo, Unity, Isaac Sim) for vision testing.
- Familiarity with MLOps and dataset management pipelines.
- Contribution to open-source computer vision projects or publications in relevant fields.
What We Offer:
- Opportunity to work on real-world autonomous systems with significant impact.
- Dynamic, research-driven environment with collaboration across multiple disciplines.
- Access to cutting-edge hardware, tools, and datasets.
- Competitive compensation and full benefits package.
- Career growth in applied AI, vision, and robotics domains.
Additional Information:
- This position may require eligibility for government or defense-related security clearance.
- Only shortlisted candidates will be contacted.