Senior Software Engineer, Agentic AI

NVIDIA

Senior Software Engineer at NVIDIA developing core libraries to power the next generation of AI applications. Collaborating with teams on agent architectures, frameworks, and performance optimization.

Posted 7/29/2026full-timeRemote • California, New York, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing agent architectures and frameworks, with a strong focus on performance, accuracy, and stability. Proficient in asynchronous programming and cross-language API design, with a solid background in LLM applications and high-performance data pipelines.

Highest-signal resume keywords

Rust ProgrammingPython ProgrammingGo ProgrammingNode.js ProgrammingAsynchronous Programming

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Hard Skills

Agent ArchitecturesAgent FrameworksPerformance OptimizationBenchmarkingCross-Language API DesignSystems-Level DebuggingEvent-Driven SystemsModel-Provider APIsTool CallsLLM Applications

Soft Skills

Interpersonal SkillsCollaboration

Tools & Technologies

GPU-Optimized TrainingInference WorkflowsData PipelinesVector DatabasesOpen-Source Libraries

Industry Keywords

Artificial IntelligenceComputer ScienceApplied MathAgentic Applications

Tech Stack

Tools & technologies

GoJavaScriptNode.jsOpen SourcePythonRust

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

Equity
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