Hardware Architect, Deep Learning GPU and System

We are seeking a remarkable Hardware Architect to join our Compute Deep Learning Architecture team. As a key member of this team, you will contribute to features that help next-generation GPUs and systems advance the state of AI.

Your day-to-day work will include analysing the behaviour of various deep learning methods on current and future hardware architectures and proposing new features to accelerate them. The features could be HW, SW or algorithmic - usually combining all.

The main focus of this job is from hardware architecture perspective and workload performance.

Requirements:

• A degree or equivalent experience in computer science, electrical engineering or related field.

• 2+ years of experience in at least some of the following relevant areas is required: Performance, Hardware Architecture, Deep Learning analysis.

• A familiarity with GPU computing (Nvidia or others) is a plus.

• Excellent interpersonal skills, people who like to collaborate and work within a team.

• Innovation, motivation and passion.

This position requires collaboration with other hardware and software engineers as well as DL researchers.