Senior/Staff Algorithm Engineer (Ml And Graphics)

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.

• 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

• 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 (e.g. TensorFlow or PyTorch)
• Excellent problem solving and analytical thinking skills
• Excellent communication and collaboration skills
• Passion for deep learning, graphics, and image processing

• 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

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

#LI-TE!