Senior AI Solutions Architect

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
7 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $197k
$139k most similar roles pay here $272k

This role pays less than 59% of similar roles. Most pay $169,687–$246,150 — the shaded band above. At the midpoint, this role pays about $197k versus about $208k 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 994 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 977 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior AI Solutions Architect

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Join our dynamic team of four as a Solution Architect specializing in AI solutions and scalable data center infrastructure. You will serve as a technical advisor to developers and customers, embedding NVIDIA software into customer architectures and workflows to enhance application performance and developer productivity. Your responsibilities include supporting business development teams, collaborating with industry leads and account managers, and delivering training sessions on NVIDIA platforms. You must have an MS/PhD in Machine Learning or related fields, 4+ years of AI experience, proficiency in Python and C/C++, and familiarity with PyTorch, TensorFlow, Kubernetes, and GPU-based systems. This role demands expertise in designing complex AI solutions, understanding data pipelines, models, and compute orchestration, as well as strong communication skills for a fast-paced environment.

Skills

Python C/C++ PyTorch Tensorflow Kubernetes GitHub NVIDIA CUDA Docker Prometheus Grafana CI/CD PostgreSQL AWS Azure MLOps

What you'll do

  • Embed NVIDIA software into customer architectures and workflows.
  • Analyze application architectures to identify acceleration opportunities.
  • Support developers in adopting NVIDIA libraries for AI platforms.
  • Improve application performance and increase developer productivity.
  • Deliver trainings and technical demonstrations on NVIDIA solutions.

What we're looking for

  • MS/PhD in Machine Learning, Computational Science, Physics or related field, or equivalent experience.
  • 4+ years of AI, ML, DL, NLP, and Generative AI experience.
  • Expertise in accelerated computing platforms and GPU-based distributed systems.
  • Proficiency in Python and C/C++ for algorithm programming.
  • Experience with major AI frameworks like PyTorch and TensorFlow.
  • Knowledge of containers, numerical libraries, modular software design, and version control.
  • Ability to reason across data pipelines, models, compute, networking, and orchestration.

Related searches

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