AI Agent Harness Engineer: Drive Frontier Inference

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 108,000 - 196,000

Full time

14 days+
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Job summary

NVIDIA Corporation in Santa Clara, CA, seeks an AI research engineer to build and modify coding agent harnesses, analyze inference workload dynamics, and extend co-design across software and hardware stacks.

You will collaborate with teams, demonstrate rigorous data‑driven research, and contribute to frontier agentic systems using Codex and Claude Code. A BS in CS is required; equity and benefits apply. This is a full-time, on-site role.

Qualifications

  • BS in Computer Science or a related field, or equivalent experience.
  • 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.

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

Skills

Coding agent harnesses
Agent evaluation
Data analysis
Codex
Claude Code

Education

BS in Computer Science or related field

Tools

Harbor

Job description

NVIDIA Corporation in Santa Clara, CA, seeks an AI research engineer to build and modify coding agent harnesses, analyze inference workload dynamics, and extend co-design across software and hardware stacks.

You will collaborate with teams, demonstrate rigorous data‑driven research, and contribute to frontier agentic systems using Codex and Claude Code. A BS in CS is required; equity and benefits apply. This is a full-time, on-site role.

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