Senior Software Engineer, Agentic AI
$184k - $357k • Remote • US, CA, Santa Clara
Posted 17d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
NVIDIA is seeking an experienced Software Engineer to develop core libraries for Agentic Applications. This role involves building foundational technology for the next generation of AI agents, focusing on safe and scalable deployment of autonomous systems. You will contribute to agentic computing, creating scalable capabilities, reusable building blocks, and high-quality libraries to enhance developer productivity, ensure agent quality, and optimize agent performance and efficiency. You will collaborate with creative engineers on projects pushing the boundaries of autonomous agents.
Responsibilities
- Track and understand evolving agent development patterns across NVIDIA and the broader ecosystem.
- Develop open-source libraries and tools to accelerate and optimize agent harnesses and frameworks.
- Benchmark agents to identify bottlenecks and build solutions to increase performance, reduce cost, and improve latency.
- Collaborate with teams building data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows.
- Identify gaps and friction in current agent architectures and translate insights into agentic tools to boost developer velocity and agent quality.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.
- 8+ years of experience in Rust, Python, Go, or Node.js, with 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 to trace execution and optimize hot paths.
- Strong interpersonal skills for effective collaboration with the open-source community.
Benefits
- Equity
- Benefits