Hardware Architect, Deep Learning GPU and System

About This Role

This role involves pushing the boundaries of Artificial Intelligence using Deep Learning by influencing the design of algorithms, hardware, and software. As a Hardware Architect, you will contribute to features that advance next-generation GPUs and systems for AI, working with a team passionate about deep learning and its applications in fields like datacenters and autonomous machines.

Responsibilities

• Contribute to features that help next-generation GPUs and systems advance the state of AI
• Collaborate with other hardware and software engineers as well as DL researchers
• Analyze the behavior of various deep learning methods on current and future hardware architectures
• Propose new features to accelerate AI, combining hardware, software, and algorithmic solutions
• Focus on hardware architecture perspective and workload performance

Requirements

• Degree or equivalent experience in computer science, electrical engineering, or a related field
• 2+ years of experience in at least some of the following relevant areas: Performance, Hardware Architecture, Deep Learning analysis
• Familiarity with GPU computing (Nvidia or others) is a plus
• Excellent interpersonal skills, liking to collaborate and work within a team
• Innovation, motivation, and passion

About the Company

NVIDIA pushes the boundaries of Artificial Intelligence using Deep Learning. Intelligent machines powered by AI computers that can learn, reason, and interact with people are a core focus.