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NVIDIA

Solutions Architect, AI and ML

NVIDIA

. Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA ML/DL and data science software and hardware technologies .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $152,000 - $287,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and deploying AI/ML solutions using NVIDIA technologies on cloud platforms, with strong capabilities in deep learning frameworks and customer engagement. Proven ability to communicate technical concepts effectively and collaborate with cross-functional teams to drive technology solutions.

Highest-signal resume keywords
Solutions Engineering ExperienceDeep Learning Frameworks (TensorFlow, PyTorch)Cloud Computing Environments (AWS, GCP, Azure)NVIDIA Technologies (CUDA, RAPIDS, Triton)DevOps/ML Ops Technologies (Docker, Kubernetes)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Deep LearningMachine LearningScripting Language (Python)Programming and Debugging SkillsGPU ExperienceCUDA ExperienceCloud DeploymentData ScienceParallel ProgrammingDistributed Computing
Soft Skills
Communication SkillsCustomer EngagementCollaboration
Tools & Technologies
NVIDIA SDKsDockerKubernetesCloud PlatformsGPU Platforms
Certifications & Qualifications
AWS Professional Solution Architect CertificationGCP Professional Solution Architect CertificationAzure Professional Solution Architect Certification
Industry Keywords
AI SolutionsML SolutionsTechnical PresentationsProofs of ConceptCustomer Needs

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA ML/DL and data science software and hardware technologies
  • Build and deploy AI/ML solutions at scale using NVIDIA AI software on cloud-based GPU platforms
  • Build custom proofs of concept addressing customers’ critical business needs with NVIDIA hardware and software
  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities
  • Prepare and deliver technical customer content, including presentations and workshops
  • Conduct regular technical customer meetings covering project and product roadmaps, feature discussions, and new technologies
  • Establish close technical ties with customers to facilitate rapid resolution of customer issues
  • Engage directly with developers, researchers, and data scientists, and collaborate with business and engineering teams on product strategy
  • Drive end-to-end technology solutions using NVIDIA technologies based on customer business needs

Requirements

What you’ll need
  • 4+ years of Solutions Engineering or similar Sales Engineering experience
  • 3+ years of work-related experience in Deep Learning and Machine Learning
  • Experience with deep learning frameworks TensorFlow or PyTorch
  • GPU and CUDA experience helpful
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or another Engineering field, or equivalent experience
  • Track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure
  • Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, and data center deployments
  • Ability to use at least one scripting language, such as Python
  • Good programming and debugging skills
  • Ability to communicate ideas and code clearly through documents and presentations
  • AWS, GCP, or Azure Professional Solution Architect Certification is a preferred differentiator
  • Hands-on experience with NVIDIA GPUs and SDKs such as CUDA, RAPIDS, and Triton is preferred
  • System-level experience with GPU-based systems is preferred
  • Experience with Deep Learning at scale is preferred
  • Familiarity with parallel programming and distributed computing platforms is preferred

Benefits

Comp & perks
  • Equity
  • Benefits
  • Occasional travel for local on-site customer visits and industry events