NVIDIA’s Deep Learning Safety team is looking to build intelligent, autonomous software for the next generation of accelerated computing
Requirements
- Strong programming experience in Python and C++ (or Go/Rust), including experience with async runtimes and API orchestration
- Experience building applications or systems that incorporate LLMs or foundation models in an interactive or autonomous fashion
- Familiarity with tools and frameworks for building AI agents (e.g., LangChain, CrewAI)
- Experience integrating AI with GPU computing workflows (e.g., CUDA, PyTorch, Triton, or compiler toolchains)
- Knowledge of planning algorithms or program synthesis using LLMs
- Contributions to open-source AI agent frameworks or agentic copilots
Responsibilities
- Design and develop intelligent software agents capable of planning, reasoning, and acting across tools, APIs, and compute environments
- Integrate agentic AI systems with NVIDIA platforms, including GPU computing frameworks and runtime engines
- Work with LLMs and agentic frameworks to build robust, reactive, and proactive agents
- Build end-to-end systems that use agents for tasks such as kernel optimization, code generation, performance analysis
Other
- BS/MS in Computer Science, AI, or equivalent experience
- 2+ years of software engineering experience
- Strong communication skills, excellent problem-solving skills, and the ability to learn and work effectively in a fast-paced, collaborative environment
- Travel requirements not mentioned
