Senior Solutions Architect - Deep Learning

NVIDIA is hiring a Senior Solutions Architect - Deep Learning in Tel Aviv, Israel. 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.
Tools and skills the posting cites include vLLM, PyTorch and CUDA.
Level classifies it as a senior role.
Level lists 2,600+ other open roles at NVIDIA.

AI in this role

Senior Solutions Architect specializing in deep learning and GPU computing to develop AI solutions and support HPC architectures.

vllmpytorchcudatritonkubernetes

ml-opsdeep-learningsolution-architecturegpu-computinghpc

We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

What You'll Be Doing:

Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on NVIDIA technology.
Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
Be an internal champion for Deep Learning and Data Science among the NVIDIA technical community.
Develop demo solutions and showcase to the AI ecosystem.

What We Need To See:

B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience
5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable.
Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton
Proven Exposure to GPU technology and CUDA programming
Demonstrable experience in strategy, research, communications.
Capable of working in a constantly evolving environment without losing focus.
Committed with strong analytical and problem solving skills.
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
Direct experience participating in communities (expertly or as highly engaged developer).

Ways To Stand Out From The Crowd:

Technical knowledge of developer digital platforms and their trends.
Experienced working with containers, Kubernetes and MLoPS tools
Exposure to C, C++ and Python.
Research background.
Good presentation skills

#deeplearning

How we rate this

Senior Solutions Architect - Deep Learning at NVIDIA rates 70 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 - Deep Learning is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Israel, Tel Aviv.
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

ML OpsDeep learningSolution ArchitectureGPU ComputingHpcvLLMPyTorchCUDA

Also common in solutions architect jobs at this level

AWS Generative AI Azure Google Cloud LLM SQL

Pay

Typical solutions architect job: $169k

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

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

Adapt your resume

List these exact terms on your resume: ML Ops, Deep learning, Solution Architecture, GPU Computing, and Hpc. 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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