AI Workload and Networking Research Architect
Nvidia · Yokneam, Israel
About this role
Nvidia is hiring a mid-level AI Infrastructure Engineer in the machine learning function based in Yokneam, Israel. The posting calls out experience with Python, LLMs, Deep Learning, Networking.
- Role
- AI Infrastructure Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Yokneam, Israel
- Posted
- May 27, 2026
More roles at Nvidia
Job description
from Nvidia careersNVIDIA is building the world’s most advanced AI computing platforms, powering breakthroughs in generative AI, large language models, and scientific discovery. Our accelerated computing technologies enable researchers, engineers, and enterprises to push the boundaries of what is possible with artificial intelligence.
We are seeking an AI Workload & Networking Architect to join the Networking Research Group and help bridge the gap between cutting-edge AI workloads and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture. You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape NVIDIA products across the full stack - from applications and software libraries to hardware architecture and physical design.
What You’ll Be Doing:
Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.
Analyze state-of-the-art AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.
Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.
Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.
This is an excerpt. Read the full job description on Nvidia careers →