Senior Staff Engineer - Employee Productivity

NVIDIA•Us, CA

About The Position

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. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior Software Engineer to drive the evolution of our AI-powered employee experiences across web and mobile, partnering with our global teams to push the technical boundaries of what’s possible.

Requirements

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
12+ 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.
Strong mentoring skills, with the ability to provide vision and contribute directly to implementation.

Nice To Haves

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

Responsibilities

Build 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 and code reviews 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 and promote exceptional technical documentation and knowledge-sharing sessions that multiply the team’s velocity and quality.