Senior Solutions Architect, Generative AI Deployment and AIOps
Nvidia
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How this pay compares to similar roles
This role pays more than 85% of similar roles. Most pay $162,000–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $199k 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.
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At a glance
As a Senior Solutions Architect, Generative AI Deployment and AIOps, you will join the team to serve as a trusted technical advisor for customers building solutions with accelerated computing and deep learning platforms. You will partner with engineering, product, and business teams to define high-value solutions, engage with researchers and data scientists, and help customers adopt MLOps solutions. Your daily work involves analyzing performance and power efficiency of AI inference workloads on Kubernetes, conducting proof-of-concepts for Large Language Models, and modeling inference software. Required skills include proficiency in Python, C/C++, PyTorch, and TensorFlow. You must demonstrate expertise in GPU orchestration, Multi-Instance GPU management, and libraries like TensorRT-LLM. This role focuses on the technical challenges of deploying and optimizing deep learning inference in production environments.
What does a Solutions Architect earn in California?
Median $235750 from 57 postings across 11 companies.
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