Senior AI Agent Engineer – Open-Source & Evaluation

Nvidia Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA in Santa Clara, CA is seeking a Senior Software Engineer to help build core libraries, evaluation systems, and reusable harness capabilities for AI agents. You will work hands-on across open-source agent harnesses, sandboxed execution, model-provider infrastructure, and agent benchmarks to improve agent safety, speed, and reliability.

You will diagnose failures from traces and logs, design reproducible experiments, and ship upstream contributions while collaborating with Relay, Hermes,

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.
• 8+ years of hands-on software-engineering experience, with demonstrated technical ownership of production systems; and architecture design leadership.
• Expert Python skills and working proficiency in Rust, Go, C++, or TypeScript, with the ability to debug systems across language and process boundaries.
• Experience building or extending LLM agents, coding agents, tool-use loops, model-provider integrations, developer tools, or evaluation infrastructure.
• Solid understanding of asynchronous execution, subprocesses, containers, sandboxing, callbacks, retries, networking, and distributed compute.
• Experience crafting reproducible experiments, benchmark methodology, performance investigations, regression gates, or reliability analysis under nondeterministic conditions.
• A record of shipping and maintaining open-source or developer-facing software with sound testing, API development, documentation, and code reviews.

Responsibilities

• Define and evolve the technical approach for evaluating and improving open agent harnesses across frameworks, models, and benchmark environments.
• Build and operate scalable, reproducible evaluation systems spanning CI, scheduled compute, sandboxed execution, artifact provenance, trace capture, and analysis.
• Diagnose agent failures from traces, logs, tool results, and benchmark artifacts, separating harness, evaluator, environment, inference, and model causes.
• Design controlled experiments and promotion criteria that distinguish genuine harness improvements from noise, benchmark artifacts, or model-specific gains.
• Ship focused harness and runtime improvements, including upstream open-source contributions, detectors, regression tests, and maintainable documentation.
• Partner with Relay, Hermes, model, infrastructure, and research teams to turn recurring optimization needs into reusable runtime, trace, and evaluation capabilities.

Skills

Python

Rust

Go

C++

TypeScript

Education

Bachelor's or Master's in Computer Science or related field

Tools

OpenTelemetry

LLM agents

Job description

NVIDIA in Santa Clara, CA is seeking a Senior Software Engineer to help build core libraries, evaluation systems, and reusable harness capabilities for AI agents. You will work hands-on across open-source agent harnesses, sandboxed execution, model-provider infrastructure, and agent benchmarks to improve agent safety, speed, and reliability.

You will diagnose failures from traces and logs, design reproducible experiments, and ship upstream contributions while collaborating with Relay, Hermes,