Computer Vision Engineer [Apply in 3 Minutes]

Company Description Smart Surgical Appliances (SSA) isa startup, UK limited Surgical Device Company and is the sole ownerof novel platform technologies designed to reduce costs, improvesafety and outcomes and minimise risk in the exceedingly large butcomplex minimally invasive surgery markets. The Company isdeveloping a new visualisation platform for laparoscopic surgery.The vision of the Company is to be the market leader in theresearch, engineering, design, development, and marketing ofadvanced visualisation devices, which improve the standardisation,safety, and surgical outcomes of minimally invasive surgicalprocedures. Role Description The Computer Scientist will beresponsible for researching, developing, and implementing real-timeimage processing algorithms that run on the company’s laparoscopicvisualisation platform. The key responsibilities of this role willinclude: - Develop and optimise existing image processingalgorithms, both in terms of user-perceived visual performance andexecution speed. - Demonstrate creativity in proposing, researchingand developing innovative new algorithms that may have relevance tothe platform. - Delivering high-quality code, according tospecifications. - Experience with OpenCV, TensorFlow, and othercomputer vision libraries - Knowledge of machine learningalgorithms and neural networks - Delivering high-quality designdocumentation according to medical software standards - Proficiencyin computer vision, image processing, and deep learning techniques- Performing tests, code reviews, and other quality assurancetasks. - Fast prototyping in support of proof-of-principleactivities. - Contributing to role-specific R&D planning. -Working with management on managing and developing intellectualproperty. - Working with corporate partners, as determined by theexecutive management. Qualifications Essential Requirements - Holda masters degree, or – preferably – PhD in a relevant subject suchas computer science. - Demonstratable experience of developing – ata low level – novel image processing algorithms. - Experiencedeveloping parallelisable implementations of algorithms, suitablefor real-time execution at video rates. - Comfortable coding in C /C++. Desirable Skills & Abilities - Experience writing CUDAkernel code. - Experience of optimising algorithms for speed; bothdesign and implementation. - Understanding of camera calibrationand 3D reconstruction. - Excellent presentation and communicationskills, particularly when communicating technical information to anon-technical audience. - Ability to self-motivate and excellentself-discipline when working independently; prioritise tasks andwork effectively to manage and meet deadlines. - Willingness toprovide constructive input into R&D strategy & planningmeetings. - Ability to learn new skills quickly and work withminimum supervision. - Excellent report writing skills, andexperience of MS Office. - Excellent project management and timeplanning demonstrable skills - A basic knowledge of clinical and/orbiomedical engineering. - Fluent in English