NVIDIA
NewBuild and deploy AI agents solving real engineering problems across networking architecture, then design platforms ensuring their reliability through typed tools and cloud services. You'll need a computer science degree or equivalent, five-plus years shipping large-scale software, and demonstrated advanced use of AI agents beyond standard coding assistants. Cloud-native development, networking, or HPC background is a plus.
Written from this posting by Neural Jobs AI. The full description is below.
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.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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