NVIDIA
Senior Staff Engineer - Employee Productivity
$200K–$322K
US, CA, Santa Clara · Senior Staff · Full-time · Posted Sep 11, 2026
- Experience
- 12+ years in full-stack product engineering, including 3+ years at principal or staff level guiding cross-functional teams.
- Education
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
About the job
Build and lead AI-powered employee experiences across web and mobile, including personalized search, knowledge, and automated workflows.
What you'll do
- Build end-to-end features and architect performant services and user interfaces for employee experiences.
- Integrate LLM, vector-search, and third-party HRIS, collaboration, and productivity capabilities.
- Lead system design, code reviews, mentoring, observability, and engineering standards across the team.
What they ask for
- 12+ years of full-stack product engineering, including 3+ years at principal or staff level guiding cross-functional teams.
- 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.
- BS, MS, or PhD in a listed related field, or equivalent experience.
Nice to have
- Shipped generative-AI-powered features (RAG, copilots, chatbots) to thousands of daily users.
- Contributions to open-source search or front-end frameworks.
Pay
200,000 USD - 322,000 USD (base salary)
Tools
React/Next.js, TypeScript, Tailwind, K8s, containers, CI/CD, LLM, vector-search
AI focus
Embed LLM and vector-search capabilities into employee products; build personalized search and knowledge experiences and continuous learning loops.
Model-written summary · the original posting is authoritative