Senior Hardware Architect, Deep Learning GPU and System
NVIDIA· Architect
Hybrid (Yokneam, Israel)full-timePosted 5mo ago
About the role
Senior hardware architect focused on deep learning acceleration for next-generation GPUs and systems, collaborating with hardware, software, and DL researchers to analyze and accelerate AI workloads from a hardware-architecture perspective.
Responsibilities
- Contribute to features that help next-generation GPUs and systems advance AI.
- Collaborate with 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 (HW, SW or Algorithmic).
- Focus on hardware architecture perspective and workload performance.
Qualifications
- A degree or equivalent experience in computer science, electrical engineering or related field.
- 8+ years of experience in Performance, Hardware Architecture, Deep Learning analysis (or related areas).
- Familiarity with GPU computing (Nvidia or others) is a plus.
- Excellent interpersonal skills, team collaboration.
- Innovation, motivation and passion.
Skills
Required:Performance analysisHardware architectureDeep Learning analysis
Nice to have:GPU computing
Last updated Jul 3, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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