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Job Location | Egham |
Education | Not Mentioned |
Salary | £60,000 - £75,000 per annum |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time |
JOB AD:Our client are one of the biggest names in consumer electronics and are looking for someone to join them full time, helping develop Advanced Rendering and Animation techniques applied to Augmented and Mixed Reality (AR/MR).The role involves:- Research and development of state-of-the-art graphics and rendering algorithms for frameworks on desktop and mobile devices including AR and MR.- New technology proposal ideas and proof of concept implementations of innovative ways, including both traditional and machine learning approaches, to overcome technical challenges and enhance user experience.- Creation of new solutions for the next wave of outstanding products and services.Required Experience:- A degree in Computer Science, Electronics, Mathematics, Engineering or any related discipline (an equivalent period of industry experience may be accepted).- Expertise in Computer Graphics using APIs such as OpenGL, OpenGL ES, Vulkan or DirectX.- Expertise in Shading languages like GLSL, HLSL, CG etc.- Strong 3D maths and Linear algebra skills.- Mesh manipulation algorithms (EG. Constructive Solid Geometry).- Knowledge of advanced rendering techniques such as Global Illumination, Physically Based Rendering (PBS/PBR), Soft Shadows, Image-based Lighting, High Dynamic Range (HDR) rendering.- Experience in Software Development, primarily using C++ and Python (C# and Java beneficial).- Experience using Testing and Debugging tools and doing Performance profiling.- Ability to document SW designs and clearly present complex algorithms and technical details.Desirable Experience- Android application development.- Augmented Reality frameworks like AR-Core and AR-Kit.- Modelling tools like Blender, Maya and 3D Max- Developing and prototyping with Unity or Unreal render engine.- Animation techniques like Skeletal animation, Blend-shapes, Inverse Kinematics.- Knowledge of Machine Learning libraries like TensorFlow, Caffe, PyTorch.If you are interested in applying for this position or would like more information please get in touch.