Senior Solutions Architect, AI Hyperscalers

NVIDIA is hiring a Senior Solutions Architect, AI Hyperscalers in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
The listed pay starts 9% above the typical solutions architect posting on Level.
Tools and skills the posting cites include PyTorch, JAX and RAG.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

pytorchjax

rag

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by extraordinary technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing.

NVIDIA is searching for an AI/ML Solutions Architect focusing on Hyperscale customers and Cloud Service Providers. Your primary responsibilities will be to lead software customer technical engagement for AI training, inference and infrastructure being deployed at vast scale. You will work across multiple organizations within NVIDIA as well as at the customer to ensure successful and trouble-free deployments. If you would you like to partner with a large company to build automation and management to create a robust large scale artificial intelligence infrastructure and are interested in the optimization and characterization of customer specific AI models and pipelines - you should apply!

What you’ll be doing:

As a key technical member of a focused account team, you will serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to have an innovative AI/ML software infrastructure.
Work directly with best-in-class engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle.
Become a trusted advisor to your customer by understanding their environment, constraints, and long-term strategy. Translate these insights into product requirements and innovative solutions.
Help your customer enhance the value of NVIDIA technology, and provide feedback to NVIDIA for future product improvements.
Facilitate the resolution of customer issues, offering timely and proactive communications to mitigate risks.
Lead workshops, demos, and proof-of-concepts to showcase NVIDIA’s AI/ML capabilities.
Guide customers on standard processes for scalable AI model deployment and inference optimization.

What we need to see:

Minimum of a BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
8+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
Proven understanding of Linux, including solving, optimization, and customization for AI/ML workloads.
Strong understanding of data science and machine learning infrastructure—software and hardware.
Professional-level communication skills, including the ability to tailor messages for varying technical audiences and maintain composure in high-pressure situations.
Excellent follow-up and interpersonal skills, with a true passion for problem-solving.
Proficient in Python, with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful.
Shown eagerness to learn and apply new technologies.

Ways to stand out from the crowd:

Experience with Chatbots, RAG pipelines, vector databases, and distributed training or inference workloads.
Experience or background in HPC (High Performance Computing) environments for AI or ML applications.
Familiarity with multi-node GPU clusters and performance tuning for large-scale AI workloads.
Experience developing in cloud and/or virtualized environments, containerized solutions, with knowledge of Docker, Kubernetes
Background with common deep learning frameworks such as PyTorch or JAX.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 7, 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 Hyperscalers at NVIDIA rates 69 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Solutions Architect, AI Hyperscalers is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $184k-$288k a year.
The role is based in US, CA, Santa Clara.
The job was posted on September 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

RAGPyTorchJAX

Also common in solutions architect jobs at this level

AWS Generative AI Azure LLM Google Cloud SQL

Pay

This job starts at: $184k
Typical solutions architect job: $169k

This posting starts 9% above the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of JAX that you've run into, and how did you work around them?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG, PyTorch, and JAX. 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.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get a free CV review Get your CV rewritten Check your resume with the ATS resume checker

Get new solutions architect jobs (Works on AI ●●●○ or higher) by email

One email a week with the new solutions architect jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.