Principal Software Engineer - Employee Productivity

NVIDIA is seeking a Principal Software Engineer to drive the evolution of AI-powered employee experiences across web and mobile. The successful candidate will lead and code end-to-end features, architect highly performant services and UIs, embed LLM and vector-search capabilities, own system design reviews, code reviews, and technical roadmaps, integrate third-party HRIS, collaboration, and productivity platforms, champion modern front-end patterns and cloud-native back-end practices, instrument robust observability, tracing, structured logging, and SLA dashboards, and uphold security, privacy, and accessibility standards.

Responsibilities:

• 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.

Requirements:

• 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.

Preferred qualifications:

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