This role pays less than
85%
of similar roles. Most pay
$172,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$160k
versus about
$209k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
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
860 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 848 roles with salary data.
NVIDIA seeks a Deep Learning Architect to join its cutting-edge AI infrastructure team, focusing on modeling and simulating complex system-level traffic for agentic LLM workloads in datacenters. This role involves developing C++ and Python simulators to capture network and compute dynamics, characterizing real-world serving workloads, running large-scale simulations, and applying statistical techniques to identify performance bottlenecks. The ideal candidate will have a strong background in CS, EE, or Mathematics, with expertise in queueing theory, traffic modeling, and deep learning fundamentals. Proficiency in C++ and Python is essential, along with experience in traffic simulators, roofline modeling, and large-scale simulation campaigns. This position offers the opportunity to collaborate closely with hardware, software, and research teams to influence future AI system designs at a scale that addresses critical business challenges in the rapidly evolving field of AI infrastructure.