Senior Deep Learning Performance Architect
Nvidia
At a glance
AI generatedNVIDIA is seeking a Senior Deep Learning Performance Architect to join its pioneering team focused on advancing AI Inference performance through innovative hardware-software co-design. This role involves designing cutting-edge GPU and system architectures, constructing and testing deep learning algorithms, and building efficient power and performance models to guide future hardware architecture decisions. The ideal candidate will collaborate across the company with software, research, and product teams to drive AI innovation, requiring a strong background in machine learning, deep learning, and computer architecture. Expert programming skills in C, C++, and Python, along with experience in GPU computing (CUDA) and HPC technologies, are essential, as is familiarity with systems-level performance modeling and analysis for improving AI Inference workloads.
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How this pay compares to similar roles
This role pays less than 67% of similar roles. Most pay $196,750–$246,150 — the shaded band above. At the midpoint, this role pays about $197k versus about $221k for comparable roles.
Based on 240 similar postings.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 824 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 812 roles with salary data.
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