Graphics SW Engineer (Low Level)

As an Graphics (Android) Engineer you will:

• Develop innovations to optimise real-time rendering pipelines and deliver class-leading performance
• Implement standard features and extensions for the Android Graphics stack (SurfaceFlinger, SKIA, HWUI, etc.)
• Analyse different graphics workloads, identify bottlenecks and optimise for performance and power usage
• Develop optimal middleware libraries based on graphics and compute APIs (such as Vulkan & OpenGL ES)
• Bring-up and evaluate new devices, working with other teams to define and implement new UX requirements
• Have technical responsibility for one or more significant sections of an assigned project
• Translate complex functional and technical requirements into detailed design and implementation

Required Skills

• A degree in Computer Science, Electronics, Natural Science, Mathematics, Engineering or any related discipline (an equivalent period of industrial experience may be substituted)
• Expertise in computer graphics with experience in the design and development of middleware based on Vulkan (preferred), OpenGL ES, OpenGL or DirectX
• Understanding of computer graphics pipelines and modern mobile GPU architectures
• Expert proficiency in C and C++ programming languages
• A proven track record in real time embedded software development - preferably for mobile devices – with a good understanding of the latest development environments
• System level performance analysis and strong OS fundamentals (memory management, multithreading/synchronization, user/kernel mode interaction)
• Excellent communication and team work skills, with a results-oriented attitude
• Proficiency in problem solving and debugging

Desirable Skills

• Experience of SKIA graphics library
• Experience designing and implementing GPU shader algorithms (in GLSL, HLSL or equivalent)
• Experience developing system software for Android OS
• Experience working on GPU Drivers
• Experience designing and implementing image processing algorithms
• Experience working with ARM 64-bit architecture
• Familiarity with CPU/NPU hardware architectures
• Experience with Java and/or Python development
• Familiarity with ML and neural networks