Senior Software Engineer, AI-Driven Performance Engineering

NVIDIA's networking performance team is developing tools for benchmarking and profiling NVIDIA's cutting-edge networking technologies. Our products are used by engineers within NVIDIA and across the industry to optimize networking performance quickly and accurately. We are evolving our suite of expert-driven tools to create an AI-powered assistant that can autonomously benchmark and analyze complex networking performance issues in the world's most advanced data centers. This is an opportunity to work on an innovative strategic project, combining systems engineering with cutting-edge generative AI, directly impacting how NVIDIA's top customers optimize infrastructure.

What You'll Be Doing:

Build the core components of our AI assistant, translating a visionary architecture into a robust, production-ready system

Enhance and extend our core telemetry capture engine (Python and C++) to provide the high-fidelity data needed for analysis

Develop intelligent agents and workflows using modern AI frameworks to automate the 'benchmark-analyze-remediate' lifecycle

Design and implement sophisticated techniques for grounding LLMs with private data (e.g., RAG), ensuring the assistant's outputs are factually accurate and reliable

Partner closely with our domain experts in performance benchmarking and data analysis to create a cohesive, end-to-end platform

What We Need to See:

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

A minimum of 5+ years of professional software development experience, for which an advanced degree with a strong portfolio of peer-reviewed research, conference presentations, significant open-source contributions, or other demonstrated expertise may be considered an equivalent

Experience developing applications with Large Language Models (LLMs), demonstrated through professional work, significant open-source contributions, or advanced academic research projects

Familiarity with modern AI development frameworks (e.g., LangChain, LangGraph, LlamaIndex) and concepts (Agentic AI, MCP servers, etc.)

A collaborative mindset with excellent communication skills, and a passion for mentoring and learning from talented peers

Ways To Stand Out From The Crowd:

M.Sc. or Ph.D. in a relevant field, particularly with a focus on AI or distributed systems

Proven proficiency in both C++ and Python

Experience connecting AI agents to unstructured data sources (e.g., databases, Confluence APIs, knowledge graphs)

A background in data analysis and visualization (e.g., pandas, Jupyter)

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.