Software Engineer, Benchmarking and Analysis

NVIDIA

full-time

Posted on: 9/25/2025

Origin: • 🇮🇱 Israel

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Mid-LevelSenior

KubernetesLinuxNumpyPandasPython

About the role

Design and implement performance benchmarking and analysis frameworks for next-generation AI and HPC workloads
Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools
Take full technical ownership of the core telemetry engine, including utilizing Jupyter Notebooks and other data analysis frameworks to analyze telemetry results
Contribute to the DevOps environment, owning CI/CD pipelines and release processes for projects
Drive technical innovation in the performance engineering ecosystem, including contributing to building next-gen agentic AI assistant
Build tools that run at scale on clusters, clouds, and data centers to help R&D teams and customers root-cause bottlenecks and maximize throughput

B.Sc. in Computer Science, or a related engineering field
3+ years of professional software development experience
A proven track record of technical ownership, driving a technical agenda, and problem solving
High-level Python development skills, building robust, well-structured, production-grade applications
C/C++ experience, especially for performance-critical or low-level components
Experience with modern CI/CD pipelines and DevOps practices
Linux systems knowledge, including software packaging (RPM, DEB) (preferred)
Experience with Python data analysis and visualization frameworks (e.g., h5py, pandas, NumPy, Matplotlib/Plotly) (preferred)
Experience with Slurm, Kubernetes, MPI, or other distributed job orchestration and cluster management systems (preferred)
Familiarity with agentic AI concepts or frameworks (e.g., RAG techniques, LangChain, LangGraph, LlamaIndex, etc.) (preferred)
Experience contributing to open-source projects (preferred)