Senior Applied Researcher, AI Agentic Systems

NVIDIA NVIDIA · Semiconductors · Tel Aviv, Israel

NVIDIA is seeking a Senior Applied Researcher to build and deploy end-to-end agentic systems that integrate LLMs with domain tools to enhance NVIDIA's products, specifically targeting HW and SW engineering workflows. The role involves developing complex agentic systems with multi-agent coordination, long-horizon reasoning, planning frameworks, and RAG pipelines, and establishing evaluation backbones for iteration and improvement.

What you'd actually do

  1. Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.
  2. Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
  3. Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.
  4. Collaborate with SME's to transform rules of thumb into specific assignments, resources, cues, and guidelines.
  5. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW and SW products.

Skills

Required

  • Python
  • agentic frameworks
  • tool use
  • RAG pipelines
  • model adaptation
  • communication
  • facilitation
  • analytical skills
  • problem-solving

Nice to have

  • BSc/MSc in CS/CE or related field
  • hardware architects
  • software developers
  • multi-agent coordination
  • long-horizon reasoning
  • advanced planning frameworks
  • domain-specific enterprise agents
  • high-performance retrieval pipelines
  • various data sources
  • AI flows
  • SME collaboration
  • evaluation data
  • feedback loops
  • offline golden sets
  • online telemetry
  • software development experience
  • data processing
  • data storage
  • SQL databases
  • NoSQL databases
  • Networking background
  • network architectures
  • networking concepts

What the JD emphasized

  • 10+ years in applied ML/AI or large-scale systems
  • 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.
  • Proactive, independent, possessing strong analytical and problem-solving abilities; adept at handling uncertainty to provide practical, gradual benefits.

Other signals

  • building and deploying agentic systems
  • integrate innovative LLMs with domain tools
  • expedite HW and SW engineering workflows at scale