Senior Software Engineer, Open Harness Engineering

What you'll be doing: 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. What we need to see: 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. Ways to stand out from the crowd Meaningful contributions to open-source coding agents, harnesses, agent runtimes, evaluation frameworks, developer tools, or observability projects. Published research, technical writing, patents, or substantive open-source work in autonomous software engineering, agent evaluation, reliability, tool use, or inference efficiency. Experience with SWE-bench, Terminal-Bench, AgentBench, or comparable public agent benchmarks. Shipped improvements to context management, tool interfaces, retries, sandboxed repository execution, long-running agent loops, or evaluation environments. Experience with trace-analysis and observability systems such as Open Telemetry, Open Inference, structured event pipelines, exporters, or debugging tools. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family 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 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 25, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.

Location: US, CA, Remote; US, DC, Remote; US, TX, Remote; US, NY, Remote; US, CO, Remote

Type: Full time