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# Senior Software Engineer, Agentic AI

- **Company:** NVIDIA Ltd.
- **Location:** Monte Sereno, 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, Systems Development Life Cycle, Software Engineering, Graphics Processing Unit (GPU), Retrieval-Augmented Generation, Large Language Models, Deep Learning, Agentic-AI, Event Driven Architecture, Information Technology, Asynchronous Programming, Api Design, Data Pipelines, Software Library, Web Api
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-agentic-ai-austin-tx--0835c9db-05d0-4cfb-b06d-6e7f7ad70c79

## About the Role

Software Engineering, Artificial Intelligence (AI), Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Deep Learning, Software Engineering, Scalable System Development, Ecosystems, Open Source, * 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.