Senior/Staff Algorithm Engineer

2 months ago

Cambridge, United Kingdom arm limited Full time

The Role

Job Overview:

We are looking for experienced engineers with a hands-on machine learning background, and good understanding of graphics and gaming, to develop new neural graphics algorithms.

In Arm's Central Technology group we are building trail-blazing future technology which will keep Arm-based products redefining the state-of-the-art. We are looking for experienced ML Engineers who will build a range of innovative algorithm solutions, aimed to guide architecture definition of the next-gen Arm compute platforms.

You will be working in a team of computer vision and machine learning engineers to prototype algorithms for graphics (gaming) that pushes the state of the art.

Responsibilities:

Inventing and implementing state of the art machine learning and graphics algorithms for gaming use cases Designing such algorithms to work reliably and efficiently on mobile devices Collaborating with other teams across software and hardware to ensure the full pipeline runs efficiently and utilises Arm hardware effectively Presenting the algorithms and architectures you have developed to wider technology and engineering teams within Arm and at external events/conferences

Required Skills and Experience :

Strong experience working on high-performance deep learning models for image processing and computer graphics Excellent coding skills in python and strong experience in popular ML framework ( TensorFlow or PyTorch) Excellent problem solving and analytical thinking skills Excellent communication and collaboration skills Passion for deep learning, graphics, and image processing

“Nice To Have” Skills and Experience :

Technical leadership experience (required for Staff level) Understanding of the graphics rendering pipeline (expected for Staff level) and familiarity with graphics on mobile GPUs C++ experience and familiarity with Shading language Experience in 3D gaming, lighting and rendering is a plus Image/video quality evaluation background

In Return:

On top of the already compelling, we offer strong team culture, learning opportunities, regular career conversations, emphasis on diversity, equity and inclusion and a continuous improvement mentality.

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