NVIDIA
Solutions Architect, AI and ML
$152K–$288K
US, WA, Redmond +2 · Full-time · Posted Oct 23, 2026
- Location
- US, WA, Redmond
US, CA, Santa Clara
US, WA, Seattle - Experience
- 4+ years of Solutions Engineering or similar Sales Engineering; 3+ years of work-related Deep Learning and Machine Learning experience.
- Education
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields, or equivalent experience.
About the job
Works with customers and cloud service providers to design, demonstrate, and deploy NVIDIA-based AI/ML and data science solutions, while supporting customer relationships and business opportunities.
What you'll do
- Develop and demonstrate solutions with Cloud Service Providers; build and deploy AI/ML solutions on cloud GPU platforms.
- Create customer-specific proofs of concept and deliver technical presentations, workshops, and roadmap discussions.
- Partner with sales and developer relations teams to identify business opportunities and resolve customer issues.
What they ask for
- 4+ years of Solutions Engineering or similar Sales Engineering experience.
- 3+ years of work-related experience in Deep Learning and Machine Learning.
- Established record of deploying solutions in cloud environments, including AWS, GCP, or Azure.
- BS/MS/PhD in a listed engineering, computer science, statistics, or physics field, or equivalent experience.
Nice to have
- AWS, GCP, or Azure Professional Solution Architect Certification.
- Hands-on experience with NVIDIA GPUs and SDKs, GPU-based systems, deep learning at scale, or parallel and distributed computing.
Pay
152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)
Tools
TensorFlow, PyTorch, GPU, CUDA, AWS, GCP, Azure, Kubernetes
AI focus
Build and deploy AI/ML, deep learning, and data science solutions using NVIDIA software and GPU hardware on cloud platforms.
Model-written summary · the original posting is authoritative