Senior Software Engineer, Open Harness Engineering
NVIDIA· Engineer, Sys SW
Hybrid (US-CA-Remote), Hybrid (US-DC-Remote), Hybrid (US-TX-Remote), Hybrid (US-CO-Remote), Hybrid (US-NY-Remote)$184k - $287.5k + equityFull-timePosted 1mo ago
About the role
Senior Software Engineer to help build core libraries, evaluation systems, and reusable harness capabilities for open-agent harnesses, sandboxed execution, model-provider infrastructure, and agent benchmarks. Focus on diagnosing failures, upstream contributions, and delivering improvements in quality, reliability, cost, and latency across models.
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.
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.
Skills
Required:PythonRustDistributed systems
Nice to have:GoC++TypeScript
Benefits
- equity
- comprehensive benefits package (as referenced in job description)
Last updated Oct 23, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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