Senior Software Engineer, Agentic Engineering

Details

Join the new Agentic Engineering team within NVIDIA's Deep Learning Framework Group. The team builds agentic workflows that automate code generation, testing, and tuning across NVIDIA's frameworks, compilers, and developer tooling. This greenfield opportunity involves foundational technical influence within a high-autonomy team and direct collaboration with early-adopter engineering teams to create durable, scalable infrastructure.

Responsibilities

• Develop a shared understanding with NVIDIA's early-adopter engineering teams and identify friction points where agentic workflows can have the highest impact.
• Iterate with engineering teams on proof points as they integrate agents into production, validating or revising plans based on evidence.
• Apply technical judgment to distinguish durable architectural opportunities from short-lived technology trends.
• Develop agentic compiler infrastructure that enables autonomous agents to perform high-dimensional optimizations with closed-loop validation on real hardware.
• Build multi-agent orchestration systems using LLM-native tooling and frameworks such as LangChain and LangGraph.
• Create autonomous loops that apply changes, measure results, improve solutions, and repeat.
• Integrate agentic systems into Git-native workflows and CI pipelines so agents can build, test, and iterate against real GPUs.
• Contribute reusable agentic methodologies to cross-organizational collaborative groups.
• Ship complex projects with minimal direction while raising challenges and synchronizing at appropriate points.
• Lead technical work through changing requirements and revise direction when evidence demands it.

Requirements

• Master's degree in Computer Science, Engineering, or equivalent experience.
• 12 or more 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.
• Experience building tools or systems shaped by direct partnership with internal customer or user teams.
• Experience in one or more of the following areas:
  • Multi-agent orchestration frameworks, such as LangChain or 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.

Preferred Qualifications

• Passion for following the evolution of machine learning hardware and emerging kernel programming techniques.
• Experience building evaluation or testing harnesses, especially for machine learning systems or multi-agent workflows.
• Experience building internal tools or frameworks that multiply the effectiveness of engineering teams.
• Ability to thrive in ambiguous, self-directed environments while communicating clearly, actively listening, and finding ground truth.

Compensation and Benefits

• Base salary range: $224,000–$356,500 USD, determined by location, experience, and the pay of employees in similar positions.
• Eligible for equity and benefits.

Applications will be accepted at least until October 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.