Senior Software Engineer, Agentic Engineering

Our initial customers are NVIDIA's early-adopter engineering teams. You will develop a deep, shared understanding with them, identifying the friction points where agentic workflows would have the highest impact. Requirements will evolve as these teams integrate agents into production, so you will iterate with them on proof points to validate or revise your plans together. As an applied ML expert, you will use technical judgment to distinguish durable architectural opportunities from "tech du jour" hype.

The work spans several areas. You might agent-ify compiler infrastructure to enable autonomous agents to make high-dimensional optimizations, with closed-loop validation on real hardware. Multi-agent orchestration is core, anything from LLM-native tooling to custom work with frameworks like LangChain/LangGraph, driving autonomous loops that apply changes, measure results, ratchet forward and repeat. We integrate these systems into git-native workflows and CI pipelines so agents can build, test, and iterate against real GPUs.

Familiarity with NVIDIA's latest GPUs comes with the territory, since the work targets the teams that support them. We contribute to cross-org collaborative group sharing reusable agentic methodology, helping the broader organization adopt what works.