Senior Solutions Architect, AI Performance Engineering
Nvidia
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How this pay compares to similar roles
This role pays less than 56% of similar roles. Most pay $177,250–$236,187 — the shaded band above. At the midpoint, this role pays about $197k versus about $207k 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 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
Senior Performance Architect, Nemotron joins the team to shape the next generation of Nemotron models through performance modeling, analysis, and forward projections. The role involves developing high-fidelity analytical models to prototype emerging algorithmic techniques and hardware optimizations for the Nemotron family. You will model end-to-end performance impacts of generative AI workflows like Speculative Decoding, Agentic Pipelines, Inference-time compute scaling, and RL to determine datacenter needs while prioritizing features to guide software and hardware roadmaps. The position requires expertise in computer architecture, roofline modeling, queuing theory, and statistical performance analysis. You will utilize Python, C++, PyTorch, TRT-LLM, VLLM, SGLang, and CUDA for simulator design and data analysis. This role addresses the technical challenge of model-system-hardware co-design to ensure optimal trade-offs between accuracy, throughput, and interactivity while ensuring intelligence scales efficiently in production environments.
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