← All roles

Hardware Architect, Deep Learning GPU and System

NVIDIA· Architect
Apply on company site
Yokneam, IsraelFull-timePosted 6mo ago

About the role

Hardware architecture role focusing on next-generation GPUs and systems to accelerate AI/Deep Learning workloads, collaborating with hardware, software, and DL researchers to analyze performance and propose HW/SW/algorithmic features.

Responsibilities

  • As a member of the Hardware architecture deep learning team, 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 and propose new features to accelerate it.
  • Features could be HW, SW or Algorithmic, usually combining all.
  • Focus on hardware architecture perspective and workload performance.

Qualifications

  • A degree or equivalent experience in computer science, electrical engineering or related field.
  • 2+ years of experience in Performance, Hardware Architecture, Deep Learning analysis (required).
  • 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.

Skills

Required:PerformanceHardware ArchitectureDeep Learning analysisCollaboration
Nice to have:GPU computing
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA