A leading and award winning Nationwide independent lift engineering company are currently seeking a well experienced Lift Service Engineer to support them in a key area of growth in their business covering Surrey.
They offer an attractive financial package of up to £45,000 and an opportunity to grow and develop.
As a Lift Engineer you will be responsible for
Managing your own designated service route covering Surrey.
A solid working knowledge of Android Graphics frameworks, OpenGL ES and/or Vulkan, together with a good understanding of Machine Learning, performance analysis and Linux kernel development will be plus.
We are looking for enthusiastic engineers with background in Graphics/System performance optimisations on modern embedded platforms like Android.
General
Opportunities to work on truly novel technologies like this are rare, so we are looking for highly motivated people with a passion to work on the world's widest-reaching mobile platform.
We need talented engineers with a strong low level graphics and GPU development background on the Android platform, ideally with experience of working in the consumer electronics industry.
General
The successful candidate will contribute to new, high-performance graphics solutions, integrate our solutions with new hardware platforms, optimise the Android OS graphics stack, benchmark our systems against competitors, work with 3rd party software developers and generally ensure that we have the best possible 3D graphics experience on the market.
They operate a hybrid working policy of 3 days working from the office and 2 days working from home weekly.
You will be poised to grow and expand your programming skills and expertise into a dynamic new set of research problems.
We encourage enthusiastic researchers and engineers with a strong academic background and expertise in development of audio/speech related applications to apply.
This position will require you to work closely with researchers and engineers to enable and accelerate new research efforts in AI.
The ideal candidate will have experience and expertise in both GPU compute programming and systems development (library development, performance/memory optimizations) using modern C. The prospective candidate will work on and grow in both directions.
This position will require the candidate to work closely with researchers and engineers to enable and accelerate new research efforts for on-device AI.