> Markdown version of [/jobs/ext/3577840-senior-software-engineer-agentic-ai](https://www.wearedevelopers.com/jobs/ext/3577840-senior-software-engineer-agentic-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Agentic AI - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Profiling, Serialization, Software Debugging, Middleware, Python (Programming Language), Node.Js, Open Source Technology, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, Event Driven Architecture, Information Technology, Asynchronous Programming, Api Design, Data Pipelines, Software Library, Web Api - **Published:** October 4, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--Agentic-AI_JR2017340 ## About the Role * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience. * 8+ years experience in at least one of Rust, Python, Go, or Node.js, with working familiarity in at least one more. * Solid understanding of asynchronous programming, callbacks, request lifecycles, and event-driven systems. * Hands-on experience with evolving agent architectures, multiple agents frameworks and agent harnesses. * Proficiency in LLM applications, agent workflows, tool calls, and model-provider APIs. * Ability to design or extend cross-language APIs with attention to consistency, usability, stability, and backwards compatibility. * Systems-level debugging and performance intuition: able to trace execution from high-level API calls through runtime internals, language bindings, callbacks, serialization, and event emission to understand overhead and optimize hot paths. * Strong interpersonal skills, enabling direct contact and effective collaboration with the open source community. Ways to stand out from the crowd: * Experience building evaluation/benchmarking systems for agent workflows (metrics, regression, feedback loops). * Rust systems work, especially async Rust, Tokio, serde, API design, or runtime state management and /or Python native extension experience with PyO3, maturin, or Python/Rust bindings. * Instrumenting third-party frameworks without changing user-visible behavior. Knowledge of OpenTelemetry, tracing, structured events, exporters, or observability pipelines are a plus. * Middleware, plugin systems, guardrails, policy engines, or request/response interception and maintaining open-source libraries, SDKs, or internal developer platforms. * Profiling or optimizing runtime/library overhead across language boundaries, async execution, native bindings, serialization, tracing, or middleware pipelines. ## Description * Track and understand evolving agent development patterns across NVIDIA and the broader ecosystem, maintaining current knowledge of both research and commercial products. * Develop open-source libraries and tools which accelerate and optimize agent harnesses and frameworks ensuring top-tier performance, accuracy, quality, and stability. * Benchmark the latest agents to identify bottlenecks and build creative solutions to increase performance, reduce cost, and improve latency. * Work closely with teams building high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows to deliver best-in-class agentic applications. * Identify gaps and friction in current agent architectures, and translate insights into agentic tools that boosts developer velocity and agent quality-backed by evaluations, benchmarking, and feedback loops.