NVIDIA-posted 6 days ago
Full-time • Mid Level
Us, CA
5,001-10,000 employees

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years! It's an outstanding legacy of innovation that's fueled by phenomenal technology—and outstanding people! As part of NVIDIA's applied AI team, you will have the opportunity to lead a team at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're enthusiastic about guiding top teams in brand new technologies crafting generative AI, this role presents a prime chance for innovation.

  • Manage and grow a team building agentic AI solutions, including sophisticated AI agents and their integration with enterprise production systems.
  • Provide technical direction and strategic leadership in the design, development, and deployment of AI applications using LLMs, agentic frameworks, and related technologies.
  • Oversee development of retrieval and generation algorithms for enterprise data (text, code, and images) to support advanced AI use cases.
  • Partner closely with engineering, research, and product teams to deliver LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
  • Ensure high technical standards and drive operational excellence across AI application development efforts.
  • Stay informed on the latest advancements in ML/AI and ensure your team adopts the most effective techniques and tools.
  • Foster a collaborative, inclusive, and high-performance team culture while mentoring team members and supporting their career growth.
  • Master’s or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
  • 12+ overall years of industry experience with 5+ years in technical leadership or managing software/AI teams.
  • Proven experience managing teams building ML/AI systems, including fine-tuning LLMs, multi-agent frameworks, RAG pipelines, and vector databases.
  • Strong technical foundation in software engineering, particularly Python, data structures, and system design.
  • Leadership experience, mentoring, and coaching skills for creating high performing teams.
  • Demonstrated success in leading cross-functional teams and delivering production-grade AI applications.
  • A proactive, hands-on leader who can balance strategic thinking with technical depth and execution.
  • You will also be eligible for equity and benefits
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