Solution Architect, SAE

NVIDIA is hiring a Solution Architect, SAE in Gurugram, India. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Docker, Kubernetes and Deep Learning Frameworks among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

Guides customers through end-to-end infrastructure solutions for deep learning, machine learning, and accelerated analytics as an NVIDIA solution architect.

dockerkubernetesdeep-learning-frameworks

NVIDIA’s Platform has already made a major impact to the field and is broadly used across leading Industry’s, including the world’s largest Internet companies. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using a partner channel and creative marketing. We need passionate, hard-working and creative people to help us pursue more of these rare opportunities.

We are now looking for a Solution Architect to focus on End to End Infrastructure, Starting from Data Centre’s, Solution Designs, Deep Learning, Machine Learning, and Accelerated Analytics, solutions to work with our teams in India, Bangalore. If this role sounds exciting, we should talk. Today, NVIDIA is acknowledged as the world leader in AI Accelerated computing. As a Solution Architect working at NVIDIA, you will work closely with multiple Customers across the country - establishing relationships, solving problems and helping them build successful NVIDIA solutions.

What You’ll Be Doing:

Assist field business development in guiding the customer through the sales process for NVIDIA Products, owning the technical relationship and assisting customers in building innovative solutions based on NVIDIA Platforms
Be an industry thought leader on integrating NVIDIA technology into multiple architectures to support AI at scale.
An SME for large scale Software and Hardware Solution Design across AI & Cloud Solutions.

What We Need To See:

B. Tech. or MS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
8+ years of work-related experience in Solution Designing for Deep Learning, high-performance computing and Cloud.
Extensive Experience working with DevOps including but not limited to Docker/Containers, Kubernetes, and datacentre deployments.
Excellent Pre-sales experience on Network, Cloud, Big-data/Analytics sizing, Large Scale Enterprise Solutions and RFP experience with the regional customers
Software experience with modern, AI & Cloud Stack, Deep Learning software architecture and frameworks is recommended.
Deep understanding of dense datacentre design components including MEP, compute, storage and networking.
Ability to multitask effectively in a dynamic environment.
Strong analytical and problem-solving skills.
Strong written and oral communications skills in English with the ability to effectively collaborate with management and engineering.

Ways To Stand Out From The Crowd:

Experienced in Networking, Cloud, HPC, ML & DL.
Solution Designs - Large scale Supercomputing build experience -Datacentre to Compute to Network to Software.
Experience in working with Partners, OEMs and Distribution teams.
Outstanding customer facing skill-set with excellent presentation skills

How we rate this

Solution Architect, SAE at NVIDIA rates 65 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

Solution Architect, SAE is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in India, Gurugram.
The job was posted on October 8, 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

DockerKubernetesDeep Learning Frameworks

Also common in solutions architect jobs at this level

AWS Python Generative AI Azure LLM Google Cloud

Pay

Typical solutions architect job: $168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

What's a project where you used Docker hands-on?
Walk me through how you've used Kubernetes in your day-to-day work.
What are the limits of Deep Learning Frameworks 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: Docker, Kubernetes, and Deep Learning Frameworks. 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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