Senior Deep Learning Systems Architect
Nvidia
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How this pay compares to similar roles
This role pays more than 55% of similar roles. Most pay $152,875–$248,375 — the shaded band above. At the midpoint, this role pays about $216k versus about $201k 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 923 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 905 roles with salary data.
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At a glance
Research Scientist, Networking Research - PhD New College Grad 2026 joins the Research team to design networks optimized for AI systems and develop innovative architectures for high-performance interconnects and large-scale distributed AI systems. The role involves creating mechanisms for network decision-making in GPU clusters, including AI/ML-based approaches for routing, traffic engineering, congestion control, scheduling, topology design, and telemetry-driven control loops. Candidates will prototype ideas through simulation or analytical modeling to produce patents, publications, and long-term technology visions. Required expertise includes computer architecture, communication systems for distributed computation, and applying machine learning—specifically reinforcement learning, graph learning, and optimization—to networking problems. Preferred technical skills include C++, Python, and hardware description languages or HLS. The work focuses on solving performance, scalability, and efficiency challenges within the domain of next-generation computing platforms and AI infrastructure.
What does a Research Scientist earn?
Median $219950 from 43 postings across 12 companies.
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