Hardware Architect, Deep Learning GPU and System

Responsibilities

• As a member of our Hardware architecture deep learning team, you will contribute to features that help next-generation GPUs and systems advance the state of AI.
• This position requires you to collaborate with other hardware and software engineers as well as DL researchers.
• Your day to day work will include analyzing the behavior of various deep learning methods on current and future hardware architectures and propose new features to accelerate it. 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.
• What we need to see
• 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.

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