About The Position
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, an era in which our GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Demand for AI inference is growing rapidly, and coding agents are emerging as a major driver of compute needs. New agentic patterns, including reasoning models, parallel subagents, and long-horizon tool use, are increasing the complexity and scale of inference workloads at an unprecedented pace. Our team profiles real coding agent workloads to develop a world-class understanding of how these agents evolve, then partners directly with teams across NVIDIA's hardware and software stack to push the coding agent ecosystem to the frontier of performance.
Requirements
- Proven track record building or modifying coding agent harnesses at scale
- Familiarity with agent evaluation frameworks such as Harbor, and inference performance metrics including TTFT, throughput, and ITL
- Hands-on use of frontier coding agents such as Codex and Claude Code, driving performance to the frontier
- Rigorous, scientific approach to data collection, analysis, and research
- BS in Computer Science or a related field, or equivalent experience
Nice To Haves
- Work experience at an AI inference or agent company
- Experience with building modern agentic or AI-backed systems
- Ability to translate data into specific product improvements with the end user in mind
- Open source projects showcasing agentic AI applications
- MS in Computer Science or a related field
Responsibilities
- Building and modifying coding agent harnesses to research the impact of different architectural decisions
- Architecting AI-driven systems that analyze inference workload dynamics of leading agentic harnesses under realistic conditions
- Collaborating with teams across NVIDIA's software and hardware stack to extend co-design to the harness layer
Benefits
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
