Senior Solutions Architect, Generative AI

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 26 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k

This role $236k

$154k most similar roles pay here $302k

This role pays more than 71% of similar roles. Most pay $168,450–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Generative AI

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NVIDIA is hiring AI Solutions Architects to support customers building solutions with the latest Accelerated Computing and Deep Learning technologies. In this role, you will partner with internal teams and external clients to define high-value technical solutions, engage with developers and researchers on diverse projects, and collaborate with industry partners to promote NVIDIA’s computing platform. You will analyze performance and power efficiency of deep learning inference workloads and help customers adopt NVIDIA technology through proof-of-concepts and strategic partnerships. Ideal candidates have over 8 years of experience with Deep Learning frameworks like PyTorch and TensorFlow, strong Python programming skills, and expertise in Large Language Models and GPU technologies such as NVIDIA NeMo Framework and Triton Inference Server.

Skills

Python PyTorch TensorFlow NVIDIA GPUs NVIDIA NeMo Framework NVIDIA Triton Inference Server TensorRT TensorRT-LLM C++ CUDA Distributed Computing Parallel Programming Deep Learning Inference Large Language Models Performance Analysis GPU Technologies

What you'll do

Analyze and optimize the performance of deep learning inference workloads.
Collaborate with customers to adopt and build solutions using NVIDIA technology.
Partner with internal teams to define high-value technical solutions for AI projects.
Engage with developers and researchers to provide expertise across various technical areas.
Strategically partner with key industry clients on targeted computing platform solutions.

What we're looking for

8+ years of hands-on experience with Deep Learning frameworks like PyTorch and TensorFlow.
Strong expertise in Python programming, software design, and performance optimization.
In-depth knowledge of Large Language Models (LLMs) and deep learning inference practices.
Experience with NVIDIA GPUs and software libraries including NeMo, Triton, TensorRT, and TensorRT-LLM.
Proficient C/C++ skills for debugging, profiling, code optimization, and test design.
Familiarity with parallel programming and distributed computing platforms.