Solutions Architect, AI Models

Nvidia

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
18 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $197k
$139k most similar roles pay here $252k

This role pays more than 55% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $199k for comparable roles.

Based on 239 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Solutions Architect, AI Models

As a Solutions Architect, AI Models on the AI Software Segment SA team, you will bridge the gap between research and engineering to enable enterprise adoption of advanced AI software. You will work closely with customers and partners to design, build, and deploy end-to-end AI solutions for complex use cases including LLMs, multimodal models, retrieval, speech, and content safety. Your daily responsibilities involve managing the full model lifecycle, including data processing, orchestration, training, reinforcement learning, evaluation, and optimization. You will utilize Python in Linux environments while leveraging frameworks like PyTorch, JAX, or TensorFlow and libraries such as Hugging Face Transformers. Technical requirements include expertise in distributed computing with SLURM and Kubernetes to manage large models on GPUs. You will solve scaling challenges at the intersection of computer architecture, model libraries, and specialized AI applications.

What does a Solutions Architect earn in California?

Median $235750 from 45 postings across 8 companies.

See salary data

What you'll do

  • Develop end-to-end AI solutions for enterprise use cases using NVIDIA models and libraries.
  • Solve complex technical challenges across the AI model lifecycle including data processing, training, and optimization.
  • Partner with customers in co-design engagements to deliver customized AI solutions based on specific success metrics.
  • Address scaling challenges at the intersection of computer architecture, software libraries, and AI applications.
  • Provide expert technical guidance to customers and partners as a trusted advisor for NVIDIA technologies.
  • Contribute to the broader community through open-source projects, product engineering, and hands-on training.

What we're looking for

  • A BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or a related field is required.
  • Candidates must have at least 5 years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow and Hugging Face Transformers.
  • Proficiency in Python programming, software design, debugging, and performance analysis is required.
  • Candidates must have at least 5 years of experience working in a Linux environment.
  • Hands-on experience with the AI model lifecycle including evaluation, failure analysis, pre-training, post-training, RL, and optimization is required.
  • Expertise in distributed computing methodologies, specifically model and data parallelism, is required.
  • Experience with distributed computing tools like SLURM and Kubernetes for training and evaluating large models on GPUs is required.
  • Strong written and oral communication skills are necessary to collaborate with executives and engineering teams.

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