Computer Vision Engineer

ETS Technical Selection
Nottingham
11 months ago
Applications closed

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Role Description
This position involves researching, developing, and implementing real-time image processing algorithms for a high-performance visualization platform. Key responsibilities include:
Developing and optimizing existing image processing algorithms for enhanced visual performance and execution speed.
Proposing, researching, and developing innovative algorithms relevant to the platform.
Delivering high-quality, specification-compliant code.
Utilizing tools like OpenCV, TensorFlow, and other computer vision libraries.
Applying knowledge of machine learning algorithms and neural networks to enhance processing techniques.
Producing high-quality design documentation that adheres to software standards for regulated industries.
Demonstrating proficiency in computer vision, image processing, and deep learning methodologies.
Conducting tests, code reviews, and other quality assurance activities.
Rapid prototyping for proof-of-concept initiatives.
Contributing to research and development planning and execution.
Supporting intellectual property management and development.
Collaborating with external partners as required by leadership.
Qualifications
Essential Requirements:
A master's degree or, preferably, a PhD in a relevant field such as computer science.
Demonstrated experience in developing novel image processing algorithms at a low level.
Proven ability to create parallelizable algorithm implementations for real-time video processing.
Strong coding skills in C/C++.
Desirable Skills and Abilities:
Experience writing CUDA kernel code.
Proficiency in optimizing algorithms for speed during both design and implementation stages.
Familiarity with camera calibration and 3D reconstruction techniques.
Strong presentation and communication skills, especially when explaining technical concepts to non-specialists.
Self-motivated with the ability to work independently, prioritize tasks, and meet deadlines.
Willingness to contribute ideas to R&D strategy and planning.
Quick learner with minimal supervision requirements.
Exceptional report writing skills and familiarity with MS Office tools.
Demonstrated project management and time-planning expertise.
A foundational understanding of clinical or biomedical engineering concepts.
Fluency in English.

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