Senior Solutions Architect, Financial Services Banking
Nvidia
At a glance
AI generatedThe Financial Services Solution Architect team seeks a senior-level individual to join their accomplished group of Quants and Data Scientists, focusing on accelerating High-Performance Computing and AI workloads in the finance industry. This role involves partnering with NVIDIA teams to secure customer design wins by conducting proof-of-concept evaluations and optimizing machine learning models for GPU architectures. The ideal candidate will collaborate closely with client researchers and developers to address business-critical issues using NVIDIA technology, while also creating educational materials like notebooks and blogs on topics such as ML/DL, recommender systems, GNNs, and Monte Carlo simulations. Required skills include extensive experience in Python and C++, proficiency in frameworks like PyTorch and TensorFlow, and familiarity with NVIDIA GPU architectures and CUDA libraries.
Skills
What you'll do
What we're looking for
Market check
This $224,000–$356,500 range sits above 95% of similar postings on FindRole.
Peer median band
$152,000–$240,750
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$147,250–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
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 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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