Nvidia Senior Software Engineer Performance Engineering Tools 

Israel, North District 

203702374

As a senior software developer, your initial responsibility will be the technical ownership of our core engine for high-frequency Telemetry Capture. You will also apply your expertise across the other pillars by contributing to a suite of closed and open-source solutions for Benchmarking and result Analysis. Furthermore, you will be a key contributor to our next-generation product, leveraging agentic AI to streamline the work of performance engineering by orchestrating our diverse tools and data sources.

What You'll Be Doing:

• Take full technical ownership of our core telemetry engine, driving its roadmap to completion with a focus on production-grade stability, performance, and long-term maintainability

• Act as a key technical contributor and drive innovation across the team's portfolio of projects, from our core benchmarking, telemetry and analysis tools, to our next-gen agentic AI assistant

• Enhance our development operations (DevOps), owning the CI/CD pipelines and release processes for your projects

• Mentor fellow engineers through collaborative design discussions and constructive code reviews

What We Need to See:

• B.Sc. in Computer Science, or a related engineering field

• A minimum of 5+ years of professional experience defined by technical ownership and a track record of making significant, individual code contributions to production software

• Expert-level software development skills, with deep, hands-on experience writingperformance-critical,low-level code (C\C++, etc.), coupled with strong proficiency in Python

• A proven track record of making key architectural decisions, driving a technical agenda, and problem solving

• Experience with modern CI/CD pipelines and DevOps practices

Ways To Stand Out From The Crowd:

• Deep Linux systems knowledge, including software packaging (RPM, DEB), and an understanding of the complexities of software distribution and dependencies

• Experience with the Python data analysis stack (e.g., pandas, NumPy, h5py) and visualization tools

• Familiarity with agentic AI concepts or frameworks (e.g., RAG techniques, LangChain, LangGraph, LlamaIndex, etc.)

• Experience contributing to open-source projects

• Knowledge of NVIDIA networking technologies (InfiniBand, RoCE, DOCA)