our company's networking performance team is developing tools for benchmarking and profiling our company's cutting-edge networking technologies. Our products are used by engineers within our companyand 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 our company'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 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.
Requirements:
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).
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).
This position is open to all candidates.
