Senior Software Engineer, Agentic Engineering

About the role

Join the new Agentic Engineering team, within the Deep Learning Framework Group, at NVIDIA. We build the agentic workflows that automate code generation, testing, and tuning across NVIDIA's frameworks, compilers, and developer tooling. The team is a force multiplier for the engineers behind that stack. This greenfield opportunity offers foundational technical influence within a high-autonomy team inside Deep Learning Frameworks. We partner directly with early-adopter teams to translate complex requirements into durable, scalable infrastructure that other teams can adopt. The work sits at a genuinely rare intersection: modern AI applied to the craft of engineering itself, inside a company whose hardware powers the AI revolution.

Responsibilities

• Develop a deep, shared understanding with 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 together as requirements evolve.
• Use technical judgment to distinguish durable architectural opportunities from "tech du jour" hype.
• Span multiple areas, such as:
• Agentifying compiler infrastructure for high-dimensional optimizations with closed-loop validation on real hardware.
• Multi-agent orchestration, including LLM-native tooling and custom work with frameworks like LangChain/LangGraph, driving autonomous loops that apply changes, measure results, and ratchet forward.
• Integrating these systems into git-native workflows and CI pipelines for real GPU testing.
• Familiarity with NVIDIA's latest GPUs is essential, as the work targets the teams that support them.
• Contribute to cross-org collaborative groups sharing reusable agentic methodology to help the broader organization adopt what works.

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
• Experience in one or more of the following areas: multi-agent orchestration frameworks (e.g., LangChain, LangGraph), 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)

Qualifications

• 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"

Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5. You will also be eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

Schedule

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.