NVIDIAPosted today

Senior Software Engineer, AI Agent Platforms

Senior Software Engineer, AI Agent Platforms at NVIDIA scores 90 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Israel, YokneamseniorFull time

AI in this role

Build reliable AI agent platforms and tools to automate complex engineering workflows across NVIDIA's networking stack.

kubernetescontainers

ai-agentsai-safetysoftware-engineeringplatform-engineeringevaluation-pipelinesnetworking

NVIDIA is spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our team's mission is to put AI at the center of engineering across NVIDIA's networking architecture organization. We build AI agents that solve real engineering problems, the platforms that make them reliable, and we lead the organization's AI adoption, making sure it happens fast and with strong engineering practices.

Powered by the AI revolution we are changing how hardware architecture work happens! We strive to define and implement this new agentic architecture, and we are seeking a software engineer for our agentic AI team. If you are excited to work at the frontier of AI agents and want your work to multiply the output of hundreds of engineers, we want to hear from you.

What you'll be doing:

Build AI agents that solve real engineering problems across the networking stack — and ship them to daily use.
Design and build the platforms that make those agents reliable: typed tool surfaces, cloud services, and the systems behind them.
Work broadly across networking architecture teams to identify high-impact AI use cases and turn them into working solutions.
Drive rapid and responsible AI adoption across the organization: establish best practices, guardrails, and evaluation methods so teams embrace agentic workflows with confidence.
Build evaluation pipelines that measure and improve AI-agent behavior on real production workloads.

What we need to see:

BSc in Computer Science or a related field, or equivalent experience.
5+ years of relevant practical experience in software development, including working on a large-scale software product.
Advanced, demonstrable use of AI and agentic workflows in your daily engineering work well beyond standard coding assistant usage.
A fast learner, comfortable moving across codebases, domains, and teams.
A drive for end-to-end ownership and strong communication skills.

Ways to Stand Out from the Crowd:

Cloud-native development experience (containers, Kubernetes, CI/CD pipelines).
Background in computer networking or HPC.

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsAI SafetySoftware EngineeringPlatform EngineeringEvaluation PipelinesNetworkingKubernetesContainers

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
How do you think about the risk of an AI system in this kind of role failing silently?
Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where platform engineering was part of your work. What did you do?
Tell me about a project where evaluation pipelines was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Agents, AI Safety, Software Engineering, Platform Engineering, and Evaluation Pipelines. 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.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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