Senior Solutions Architect, Supercomputing
Nvidia
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How this pay compares to similar roles
This role pays more than 84% of similar roles. Most pay $156,525–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $196k 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
As a Senior Solutions Architect, Data Processing on the Solution Architecture Team, you will research and develop techniques to GPU-accelerate high performance database, ETL, and data analytics applications. You will collaborate with technical experts from industry and academia to perform in-depth analysis and optimization of complex data intensive workloads for current GPU architectures while influencing the design of next-generation hardware, software, and programming models. The role requires proficiency in C/C++ and deep knowledge of algorithms, software design, and CPU/GPU architecture fundamentals, specifically memory subsystems. You will utilize tools such as CUDA, OpenACC, OpenMP, MPI, pthreads, and TBB. Your work addresses the technical challenge of overcoming CPU-based bottlenecks in data preprocessing and engineering for machine learning applications by optimizing memory management, compression, and parallel algorithms like sort, search, join, and aggregation across multi-GPU systems.
What does a Solutions Architect earn in Remote?
Median $231100 from 71 postings across 13 companies.
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