Solutions Architect, AI and ML

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Redmond, WASanta Clara, CASeattle, WA
Salary
$152,000–$241,500 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $197k
$141k $255k
below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $162,000–$235,750 — the blue band above. At the midpoint, this role pays about $197k versus about $199k 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 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

TL;DR · Solutions Architect, AI and ML

The Solutions Architect, AI and ML joins the Solutions Architecture team to provide technical expertise for strategic customers. This role involves engaging directly with developers, researchers, and data scientists to build and deploy machine learning, deep learning, and data analytics solutions at scale. You will develop and demonstrate solutions based on hardware and software technologies, build custom proofs of concept, and partner with sales teams to identify new business opportunities. Key responsibilities include preparing technical content, conducting roadmap meetings, and establishing technical ties to resolve customer issues. Required skills include experience with deep learning frameworks like TensorFlow or PyTorch, GPU and CUDA knowledge, and cloud environments such as AWS, GCP, or Azure. You must also possess proficiency in Python, Docker, Kubernetes, and ML Ops technologies.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

What you'll do

  • Develop and demonstrate solutions with Cloud Service Providers using NVIDIA ML/DL and data science technologies.
  • Build and deploy AI/ML solutions at scale on cloud-based GPU platforms.
  • Create custom Proof of Concepts (PoCs) to address critical customer business needs using NVIDIA hardware and software.
  • Identify and secure new business opportunities for NVIDIA products in partnership with Sales and Developer Relations teams.
  • Prepare and deliver technical content, including presentations and workshops, to customers.
  • Conduct regular technical meetings to discuss project roadmaps, features, and new technologies.
  • Establish close technical ties with customers to facilitate the rapid resolution of technical issues.

What we're looking for

  • 4+ years of Solutions Engineering or similar Sales Engineering roles.
  • 3+ years of work-related experience in Deep Learning and Machine Learning.
  • Experience with deep learning frameworks like TensorFlow or PyTorch, and GPU and CUDA experience (extremely helpful).
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.
  • Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure.
  • Knowledge of DevOps/ML Ops technologies such as Docker/containers and Kubernetes.
  • Ability to use at least one scripting language, such as Python.
  • AWS, GCP, or Azure Professional Solution Architect Certification (preferred).

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