Senior Solutions Architect, AI Cloud Services

NVIDIA is hiring a Senior Solutions Architect, AI Cloud Services for a remote role open to applicants in United States. It pays $152k-$242k a year and Level rates it ; you can apply on Level.

AI in this role

Helps customers adopt GPU hardware and build machine learning and deep learning solutions on cloud platforms.

awsgcpazureocidockerkubernetescudatensorrt-llm

ml-opssolutions-architecturecloud-computingmachine-learningdeep-learningdevops

Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.

What you’ll be doing:

Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.

What we need to see:

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
Effective time management and capable of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentation, etc.

Ways to stand out from the crowd:

AWS, GCP, Azure or OCI Professional Solution Architect Certifications
Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)
Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
Solid working knowledge of Python
System-level experience, specifically GPU-based systems

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior Solutions Architect, AI Cloud Services at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Solutions Architect, AI Cloud Services is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $152k-$242k a year.
The role is based in US, CA, Santa Clara and is marked remote.
The job was posted on October 14, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsSolutions ArchitectureCloud ComputingMachine learningDeep learningDevopsAWSGoogle Cloud

Also common in solutions architect jobs at this level

Generative AI SQL AI agents RAG Spark Java

Pay

This job starts at: $152k
Typical solutions architect job: $168k

This posting starts 10% below the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, Solutions Architecture, Cloud Computing, Machine learning, and Deep learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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