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Key Responsibilities
- Develop autonomous AI agents for GPU system software stack and tools
- Work with LLMs, multimodal models, and agent frameworks
- Ensure scalable and production-ready AI deployments
- Collaborate with product, engineering, and research teams
- Design architectures and best practices for deploying AI agents at scale
- Contribute to NVIDIA’s agentic AI roadmap
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science or related field
- Strong programming skills in Python, C++, and CUDA
- Experience with PyTorch and TensorFlow
- Knowledge of agentic AI systems and LLM-based agents
- Hands-on experience with LangChain, LangGraph, CrewAI, or OpenAI APIs
- Understanding of databases, retrieval systems, memory systems, and orchestration engines
- Familiarity with AI safety, control systems, and evaluation frameworks
Preferred Skills
- Experience building or deploying AI agents or multi-agent systems
- Contributions to open-source AI projects
- Experience with LLM integrations, inference optimization, or GPU-based ML
