Senior Switch Software Researcher
Nvidia · Raanana, Israel
About this role
Nvidia is hiring a senior-level Research Scientist in the machine learning function based in Raanana, Israel. The posting calls out experience with Distributed Systems, Observability, Machine Learning, Embedded Systems.
- Role
- Research Scientist
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Raanana, Israel
- Posted
- May 18, 2026
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Job description
from Nvidia careersNVIDIA is building state-of-the-art accelerated computing platforms that know no boundaries. Our technology is crucial for global innovators, scientists, researchers, and engineers, empowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters.
We seek a highly motivated and experienced Researcher specializing in Ethernet Networks and Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent NVIDIA in open-source projects, technical conferences, and standard development organizations.
What you'll be doing:
Research switch-level capabilities to cluster-scale outcomes, including interactions with orchestration, job scheduling, collective communication patterns, and observability.
Explore hardware/software tradeoffs for high-radix Ethernet switches aimed at next-generation AI fabrics.
Investigate ML methods for traffic understanding, control-plane assistance, configuration optimization, and other high-leverage areas.
Build and implement Proof-of-Concepts (PoCs) using network/system simulations, performance models, and data-driven analyses to compare design alternatives to influence architecture decisions.
This is an excerpt. Read the full job description on Nvidia careers →