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Computer Vision Engineer
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Computer Vision Engineer
n8xt aerospace pte. ltd.Early Applicant
- Posted 5 months ago
- Be among the first 10 applicants
Job Description
The computer vision / image processing engineer is responsible for developing and implementing algorithms and software tools to process and analyse images for various object detection applications from multiple real-time mission-critical image sources, such as electro-optical, thermal imaging sensors and other sensors.
The job scope includes:
- Research various imaging systems and validate them.
- Using optical metrology techniques, calculate and calibrate cameras for outdoor real-time mission-critical applications
- Designing and testing image processing systems and components, such as filters, edge detectors, feature extractors, classifiers, etc
- Optimising the performance and accuracy of image processing algorithms using techniques such as parallel computing, machine learning, deep learning, etc
- Collaborating with other data scientists, engineers, researchers, and clients to understand the requirements and specifications of image-processing projects
- Document and present the results and findings of image processing experiments and analyses
Requirements:
- A bachelor's degree or higher in computer science, physics, mathematics or a related field
- Experience in image processing and/or computer vision, preferably outdoor systems
- Deep understanding of the imaging systems sensor characteristics, optical metrology techniques and image signal processing
- Hands-on experience in the image processing pipeline. (Zoom and focus, auto white balance, camera colour conversion, colour space and colour management, etc.)
- Expertise in identifying diverse colour issues within intricate ISP systems and in precision tuning of parameters to achieve optimal image quality
- Knowledge of mathematical modelling, statistical analysis and image processing techniques. (Kalman filtering etc.)
- Proficiency in Python, C++, MATLAB or other programming languages
- Familiarity with popular frameworks and libraries for image processing and machine learning, such as OpenCV, TensorFlow, PyTorch, scikit-image or PIL
- Ability to work independently and as part of a team
- Excellent communication and problem-solving skills
More Info
Job Type:
Industry:
Function:
Employment Type:
Key Skills
PIL
scikit-image
optical metrology techniques
image signal processing
About Company
Skills:
Deep Learning, Tensorflow, Databases, Git, React, Pytorch, Docker, Linux, Opencv, Flask, FastAPI, Rest Apis, Python, Computer Vision, Streamlit, GPU computing
Skills:
3d reconstruction , object detection , camera calibration , Image Processing, Machine Learning, C++, Cuda, Tensorflow, Pytorch, Opencv, Python, Tracking, point cloud processing, recognition, pcl, scene understanding, computer vision algorithms
Skills:
Gstreamer, Mqtt, Rtsp, Kafka, Tensorflow, Rabbitmq, Pytorch, Docker, Opencv, Webrtc, Python, NVIDIA DeepStream, TensorRT, GRPC, HLS, ONNX Runtime, SRT
Skills:
Tensorflow, Grafana, Opencv, AWS, Pytorch, Cuda, Python, Azure, Gcp, Docker, MLflow, FiftyOne, K8S, ONNX Runtime, Weights Biases, TensorBoard, TensorRT
Skills:
Computer Vision, C++, Linux kernel, Python, Quantization, NPUs, MPUs, Build systems, Memory behavior, TensorRT, Device I/O, Runtime constraints, Scheduling, Cross-compilation, Graph optimizations, TFLite, ONNX Runtime, Deployment-oriented model optimizations, Embedded GPUs, Deep learning inference, Linux systems knowledge, OpenVINO