Senior Software Infra Architect

NVIDIA is hiring a Senior Software Infra Architect in Tel Aviv, Israel. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Kubernetes, Docker and distributed systems 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

Architect and scale next-generation AI platform infrastructure using Kubernetes and distributed microservices.

KubernetesDocker

distributed-systemsmicroservicesnetworkingcloud-infrastructure

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology —and amazing people. NVIDIA is looking for a highly motivated Architect to join the NVIDIA DSX AIR team to help build our next-generation AI platforms. In this role, you will leverage your extensive expertise in Kubernetes internals, deep networking, and distributed systems to design and scale advanced infrastructure.

NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. To learn more, visit Nvidia DSX Air.

What you'll be doing:

The responsibility specifically is for Architecture, infrastructure requirements, and designing highly scalable distributed microservices systems.
Working closely with System Architects, Development and DevOps engineers to conduct comprehensive design reviews, ensuring all technical implementations strictly adhere to the general product architecture.
Maintaining hands-on capabilities to rapidly build, execute, and demonstrate Proof of Concepts (POCs) for new architectural patterns and technologies.
Championing the adoption of additional AI-driven tools and processes to aggressively automate system operations and repetitive workflows wherever possible.
Architecting and developing large-scale systems over k8s, utilizing a deep understanding of its structure to fine-tune performance and stability.
Designing and optimizing deep networking solutions for container/k8s environments
Continuous evaluation of existing system and driving improvements across our platform and AI integration layers.

What we need to see:

8+ years of experience and deep understanding of the latest distributed microservices based architectures, specifically utilizing event-driven and reactive models.
Deeply familiar with the latest AI trends, alongside a strong foundational understanding of modern platforms and AI architectures.
Deep understanding and hands-on experience with Kubernetes (k8s) internals, specifically its control plane infrastructure and core services.
Proven experience developing, maintaining, and deploying k8s ecosystem components such as operators and CRDs and/or customizing internal k8s control plane services.
Demonstrated capability in developing large-scale systems over k8s, with the ability to understand its deep structure and fine-tune it for massive workloads.
Deep understanding of advanced networking solutions and container/k8s networking
Having good programing background in one high level language (such as Go or Python) to facilitate deep system development and execute hands-on POCs.
Bachelors degree

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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

How we rate this

Senior Software Infra Architect 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

Senior Software Infra Architect 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 July 20, 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

Distributed SystemsMicroservicesNetworkingCloud InfrastructureKubernetesDocker

Questions you could be asked

Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where microservices was part of your work. What did you do?
Tell me about a project where networking was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Walk me through how you've used Kubernetes in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Distributed Systems, Microservices, Networking, Cloud Infrastructure, and Kubernetes. 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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