Senior Software Engineer, Agentic AI

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. This role focuses on developing core libraries and foundational technology for Agentic Applications to enable safe, scalable deployment of autonomous systems and accelerate developer productivity.

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 boost developer velocity and agent quality—backed by evaluations, benchmarking, and feedback loops.

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 agent 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

• 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.

Compensation & Other Details

• Base salary range: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
• You will also be eligible for equity and benefits.
• Applications accepted at least until May 10, 2026.

NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to fostering a diverse work environment.