Senior Solutions Architect, AI Infrastructure
Nvidia
At a glance
AI generatedNVIDIA seeks an experienced Solutions Architect to join its team as a senior member, focusing on assisting enterprise clients with the adoption of GPU hardware and software solutions across Machine Learning, Deep Learning, Data Analytics, and other related fields on major cloud platforms like AWS, GCP, Azure, or OCI. This role involves developing and demonstrating cutting-edge NVIDIA technologies in collaboration with Cloud Service Providers, building custom Proof-of-Concepts to address critical business needs, and delivering technical content through presentations and workshops. The ideal candidate will have over four years of Solutions Engineering experience, a strong background in deploying AI/ML solutions in cloud environments, and proficiency with DevOps/MLOps tools such as Docker, Kubernetes, and NVIDIA’s SDKs including CUDA and Triton. Additionally, candidates should possess solid Python programming skills and system-level expertise in GPU-based systems.
Skills
What you'll do
What we're looking for
Market check
This $152,000–$241,500 range sits above 51% of similar postings on FindRole.
Peer median band
$158,950–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$159,750–$235,750
Middle half of comparable postings.
Based on 239 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 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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