Senior Staff Engineer, Employee Productivity

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $200,000–$322,000 / yr
Employment: Full-time
Posted: 49 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k

This role $261k

$124k $343k

below market most similar roles pay here above market

This role pays more than 88% of similar roles. Most pay $165,000–$233,500 — the blue band above. At the midpoint, this role pays about $261k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1675 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1080 roles with salary data.

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At a glance

TL;DR · Senior Staff Engineer, Employee Productivity

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The Senior Staff Engineer - Employee Productivity joins the team to drive the evolution of AI-powered employee experiences across web and native mobile applications. This role involves building end-to-end features, architecting performant services, and surfacing personalized content and search results for a global workforce. Key responsibilities include embedding LLM and vector-search capabilities into existing products, integrating third-party HRIS and collaboration platforms, and owning system design and code reviews. The position requires expertise in React, Next.js, TypeScript, Tailwind, K8s, containers, and CI/CD. Candidates must demonstrate skills in search, recommendation, and applied-AI systems, along with data modeling for relational and NoSQL stores. The work focuses on creating cohesive, automated user journeys while maintaining security, privacy, and accessibility standards through robust observability and tracing.

What does a Engineer earn in California?

Median $199850 from 102 postings across 29 companies.

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Skills

React Next.js TypeScript Tailwind CI/CD LLM RAG vector-search Containers NoSQL System Design Observability Application Security

What you'll do

Build end-to-end features for AI-rich employee experiences across web and native mobile applications.
Architect high-performance services and UIs to surface personalized content and search results globally.
Embed LLM and vector-search capabilities into existing products to drive relevance and learning loops.
Own system design and conduct code reviews to mentor engineers and raise engineering standards.
Integrate third-party HRIS, collaboration, and productivity platforms to create automated user journeys.
Implement modern front-end patterns and cloud-native back-end practices using K8s and CI/CD.
Instrument robust observability including tracing, structured logging, and SLA dashboards for 24/7 reliability.
Uphold security, privacy, and accessibility standards while maintaining technical documentation and knowledge-sharing.

What we're looking for

BS, MS, or PhD in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
12+ years of full-stack product engineering experience.
3+ years of experience 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 skills with relational and NoSQL stores.
Fluency in application security and strong mentoring skills.
Shipped generative-AI–powered features (RAG, copilots, chatbots) to thousands of daily users (preferred).
Contributions to open-source search or front-end frameworks (preferred).

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