NVIDIA's networking performance team is developing tools for benchmarking and profiling NVIDIA's ground breaking networking technologies. Our products are used by engineers within NVIDIA, as well as released to external customers, serving engineers across the industry in optimizing networking performance quickly and accurately. Our team's mission is centered on the three pillars of networking performance engineering: Benchmarking, Telemetry Capture, and Performance Analysis.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 maintainabilityAct 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 assistantEnhance our development operations (DevOps), owning the CI/CD pipelines and release processes for your projectsMentor fellow engineers through collaborative design discussions and constructive code reviewsWhat We Need to See:B.Sc. in Computer Science, or a related engineering fieldA minimum of 5+ years of professional experience defined by technical ownership and a track record of making significant, individual code contributions to production softwareExpert-level software development skills, with deep, hands-on experience writing performance-critical, low-level code (C\C++, etc.), coupled with strong proficiency in PythonA proven track record of making key architectural decisions, driving a technical agenda, and problem solvingExperience with modern CI/CD pipelines and DevOps practicesWays 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 dependenciesExperience with the Python data analysis stack (e.g., pandas, NumPy, h5py) and visualization toolsFamiliarity with agentic AI concepts or frameworks (e.g., RAG techniques, LangChain, LangGraph, LlamaIndex, etc.)Experience contributing to open-source projectsKnowledge of NVIDIA networking technologies (InfiniBand, RoCE, DOCA)NVIDIA is dedicated to diversity, supporting an inclusive environment and ensuring equal opportunities. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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