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 offers foundational technical influence within a high-autonomy team and involves partnering directly with early-adopter teams to translate complex requirements into durable, scalable infrastructure.

Responsibilities

• Develop a deep, 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 as requirements evolve and validate or revise plans through production proof points.
• Apply technical judgment to distinguish durable architectural opportunities from short-lived technology trends.
• Build agentic compiler infrastructure that enables autonomous agents to perform high-dimensional optimizations with closed-loop validation on real hardware.
• Develop multi-agent orchestration systems using LLM-native tooling and frameworks such as LangChain and LangGraph.
• Create autonomous loops that apply changes, measure results, and iteratively improve outcomes.
• 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.
• Build tools and systems shaped by direct partnership with internal customer and user teams.
• Lead technical work through changing requirements and revise direction when evidence requires it.

Requirements

• Master's degree in Computer Science, Engineering, or equivalent experience.
• 6 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.
• Track record of shipping complex projects with minimal direction, including raising challenges and synchronizing at appropriate times.
• 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 (DSLs).

Preferred Qualifications

• Passion for following the evolution of ML hardware and 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 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 for Level 4: USD 184,000–287,500 per year.
• Base salary range for Level 5: USD 224,000–356,500 per year.
• Eligibility for equity and benefits.
• Applications will be accepted at least until September 17, 2026.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.