Nvidia Principal Software Engineer - Employee Productivity 

United States, California 

400607269

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people.

What you’ll be doing:

• Lead and code end-to-end features that power a seamless, AI-rich employee experience across web and native mobile apps.

• Architect highly performant services and UIs that surface personalized content, knowledge, and search results to a global workforce.

• Embed LLM and vector-search capabilities into existing product surfaces, driving relevance and continuous learning loops.

• Own system design reviews, code reviews, and technical roadmaps raising the engineering bar and mentoring engineers across the team.

• Integrate third-party HRIS, collaboration, and productivity platforms to create cohesive, automated user journeys.

• Champion modern front-end patterns (React/Next.js, TypeScript, Tailwind) and cloud-native back-end practices (K8s, containers, CI/CD).

• Instrument robust observability, tracing, structured logging, and SLA dashboards, helping our SREs achieve 24×7 reliability for employees in every region.

• Uphold security, privacy, and accessibility standards across all user journeys.

What we need to see:

• 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.

Ways to stand out from the crowd:

• Shipped gen AI features (RAG, copilots, chatbots) to thousands of daily users.

• Contributions to open-source search or front-end frameworks.