Senior Software Engineer, Agentic Engineering

NVIDIA is a leading technology company specializing in AI hardware and software. The Senior Software Engineer in the Agentic Engineering team will develop agentic workflows that automate code generation, testing, and tuning across NVIDIA's frameworks and developer tooling. The role involves partnering with engineering teams to translate complex requirements into scalable infrastructure using modern AI techniques applied to engineering workflows.

Responsibilities:

• Develop a deep, shared understanding with NVIDIA's early-adopter engineering teams, identifying friction points where agentic workflows would have the highest impact
• Iterate with teams on proof points to validate or revise plans as requirements evolve
• Use technical judgment to distinguish durable architectural opportunities from transient trends
• Agent-ify compiler infrastructure to enable autonomous agents to make high-dimensional optimizations with closed-loop validation on real hardware
• Implement multi-agent orchestration including LLM-native tooling and custom frameworks like LangChain/LangGraph, driving autonomous loops that apply changes, measure results, and iterate
• Integrate systems into git-native workflows and CI pipelines so agents can build, test, and iterate against real GPUs
• Contribute to cross-organizational collaborative group sharing reusable agentic methodology to help broader organization adopt effective practices

Requirements:

• MS in Computer Science, Engineering, or equivalent experience
• 6+ years of experience
• Strong Python development skills
• Working knowledge of GPUs or other highly data-parallel systems
• Demonstrated projects or work experience using and supporting AI systems
• Track record of shipping complex projects with minimal direction, including raising challenges or syncing at the right moments
• Experience building tools or systems shaped by direct partnership with internal customer or user teams
• Examples of leading technical work through changing requirements and revising direction when evidence demands it
• Experience in one or more of the following areas: Multi-agent orchestration frameworks (e.g., LangChain, LangGraph) or LLM-based workflow automation, Compiler infrastructure, intermediate representations, or program transformation, Autonomous search or optimization over high-dimensional parameter spaces, Hardware-aware performance optimization for deep learning workloads, Code generation systems or domain-specific languages (DSLs)
• Passion for following the evolution of ML hardware and staying up to date on emerging kernel programming techniques
• Experience building evaluation or testing harnesses, especially for ML systems or multi-agent workflows
• Track record of building internal tools or frameworks that force-multiply engineering teams
• Demonstrated ability to thrive in ambiguous, self-directed environments while remaining humble: communicating with clarity, actively listening, and finding ground truth
• An allergic reaction to 'solutions in search of problems'