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Senior Software Engineer, Agentic AI

NVIDIA· Engineer, Sys SW
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Hybrid (Santa Clara, CA), Hybrid (Austin, TX), Remote, Hybrid (Durham, NC)$184k - $287.5kfull-timePosted 5mo ago

About the role

Senior Software Engineer to develop core libraries for Agentic Applications at NVIDIA, focusing on building scalable agentic capabilities, reusable building blocks, and high-quality libraries to accelerate developer productivity and agent quality in autonomous systems.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:RustPythonAsynchronous programmingLLM applicationsCross-language API designPerformance debugging
Nice to have:GoNode.js

Benefits

  • equity
  • benefits (as described in NVIDIA Benefits)
Last updated Oct 9, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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