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
Posted: 4 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 $194k

This role $261k

$129k most similar roles pay here $343k

This role pays more than 90% of similar roles. Most pay $160,725–$226,792 — the shaded band above. At the midpoint, this role pays about $261k versus about $194k 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 929 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 915 roles with salary data.

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At a glance

TL;DR · Senior Staff Engineer, Employee Productivity

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Senior Staff Engineer - Employee Productivity joins the team to drive the evolution of AI-powered employee experiences across web and native mobile platforms. This role involves building end-to-end features that provide a seamless experience for a global workforce, including architecting high-performance services and UIs to surface personalized content and search results. The position focuses on embedding LLM and vector-search capabilities into existing products while integrating third-party HRIS, collaboration, and productivity platforms to create automated user journeys. Key technical requirements include proficiency in React, Next.js, TypeScript, Tailwind, Kubernetes, containers, CI/CD, and both relational and NoSQL data stores. The role also involves implementing robust observability through tracing and structured logging while ensuring security and accessibility standards. Candidates must have experience with search, recommendation, or applied-AI systems to solve complex internal productivity challenges.

What does a Engineer earn in California?

Median $208000 from 100 postings across 24 companies.

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Skills

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

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 deliver personalized content and search results.
Embed LLM and vector-search capabilities into existing products to improve relevance and learning loops.
Integrate third-party HRIS, collaboration, and productivity platforms to create automated user journeys.
Lead system design and code reviews while mentoring engineers to raise technical standards.
Implement cloud-native back-end practices using Kubernetes, containers, and CI/CD pipelines.
Instrument robust observability tools including tracing, structured logging, and SLA dashboards for reliability.
Maintain security, privacy, and accessibility standards across all user journeys and documentation.

What we're looking for

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, 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 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.
Experience shipping generative-AI powered features like RAG, copilots, or chatbots (preferred).
Contributions to open-source search or front-end frameworks (preferred).

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