Senior Applied Researcher, AI Agentic Systems

Responsibilities

• Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.
• Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
• Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.
• Collaborate with SME's to transform rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW and SW products.
• Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.
• What We Need To See
• BSc/MSc in CS/CE or related field (or equivalent experience)
• 10+ years in applied ML/AI or large-scale systems, with 3+ years crafting agentic or LLM-powered applications in production environments.
• Proficient in Python; skilled in agentic frameworks, tool use, RAG pipelines, and model adaptation.
• Excellence in communication and facilitation: aligning diverse collaborators, documenting decisions/assumptions, and influencing without authority.

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