Senior Software Engineer, Agentic AI

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California + 3 moreAll locations: California | New York | North Carolina | Texas

Posted

3 days ago

Salary

$184K - $287.5K / year

Seniority

Senior

Bachelor Degree8 yrs expExperience acceptedEnglishJavaScriptNode.jsOpen SourcePythonRustGo

Job Description

Senior Software Engineer, Agentic AI

NVIDIA

• 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.

Job Requirements

  • 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.

Benefits

  • Equity
  • Benefits

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