Senior Deep Learning Software Infrastructure Engineer
Nvidia
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 58% of similar roles. Most pay $169,050–$235,750 — the blue band above. At the midpoint, this role pays about $216k versus about $202k 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 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
Most-posted roles
At a glance
As a Senior Software Development Engineer, Neural Graph Infrastructure, you will join the CAD Infrastructure team to build a next-generation software platform for semiconductor design. This role involves applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. You will architect highly automated and customizable flows using modular builds and object-oriented techniques while building event-driven data preprocessing pipelines for large-scale graph data. Your daily work includes developing tools and user interfaces in C++ and Python tailored for complex engineering workflows and collaborating with architects during active spec development. You will engage cross-functionally with VLSI organizations to anticipate future challenges. The role requires strong foundations in software building, algorithms, and data structures to solve complex problems within the EDA and VLSI build environments.
What does a Software Development Engineer earn in California?
Median $197750 from 81 postings across 10 companies.
What you'll do
What we're looking for
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