Principal Software Engineer - Employee Productivity

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Principal Software Engineer to lead and code end-to-end features for AI-powered employee experiences, architecting performant services and UIs, embedding LLM and vector-search capabilities, and mentoring engineers.

What you'd actually do

  1. Lead and code end-to-end features that power a seamless, AI-rich employee experience across web and native mobile apps.
  2. Architect highly performant services and UIs that surface personalized content, knowledge, and search results to a global workforce.
  3. Embed LLM and vector-search capabilities into existing product surfaces, driving relevance and continuous learning loops.
  4. Own system design reviews, code reviews, and technical roadmaps raising the engineering bar and mentoring engineers across the team.
  5. Instrument robust observability, tracing, structured logging, and SLA dashboards, helping our SREs achieve 24×7 reliability for employees in every region.

Skills

Required

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
  • 15+ years of full-stack product engineering, including 3+ years at the principal or staff level guiding cross-functional teams.
  • Proven track record delivering consumer-grade web and/or mobile experiences at scale.
  • Expertise in search, recommendation, or applied-AI systems.
  • Hands-on experience with modern cloud infrastructure, K8s, and automated CI/CD.
  • Strong data-modeling with relational and NoSQL stores.
  • Fluency in application security.
  • Excellent mentoring, comfortable setting vision and rolling up sleeves.

Nice to have

  • Shipped gen AI features (RAG, copilots, chatbots) to thousands of daily users.
  • Contributions to open-source search or front-end frameworks.

What the JD emphasized

  • 15+ years of full-stack product engineering, including 3+ years at the principal or staff level guiding cross-functional teams.
  • Proven track record delivering consumer-grade web and/or mobile experiences at scale.
  • Expertise in search, recommendation, or applied-AI systems.
  • Shipped gen AI features (RAG, copilots, chatbots) to thousands of daily users.

Other signals

  • embedding LLM and vector-search capabilities into existing product surfaces
  • driving relevance and continuous learning loops
  • shipping gen AI features (RAG, copilots, chatbots) to thousands of daily users