Principal Engineer, Enterprise Content and AI Data Platform

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$248,000–$391,000 / yr
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $320k
$113k $421k
below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $169,550–$225,500 — the blue band above. At the midpoint, this role pays about $320k versus about $198k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Principal Engineer, Enterprise Content and AI Data Platform

JOB TITLE: Principal Engineer - Enterprise Content and AI Data Platform The Principal Engineer - Enterprise Content and AI Data Platform leads three strategic platform charters at the intersection of information security, enterprise collaboration, and AI. This high-impact individual contributor role involves owning the roadmap for sensitive-information protection, driving production rollout for an enterprise data access platform, and building an AI knowledge platform to ingest and validate content for AI agents. Key responsibilities include designing export-control enforcement, schema design, data masking, and RBAC controls. The role requires integrating connectors for Outlook, Teams, Slack, Confluence, OneDrive, SharePoint, and Google Drive. Candidates must possess expertise in backend systems, distributed systems, high-performance computing, and large-scale data processing. Experience with Databricks, vector stores, RAG architectures, and DLP products is highly relevant for solving complex data governance and security problems.

What you'll do

  • Own the roadmap for sensitive-information detection, remediation, and classification models.
  • Lead build-vs-buy decisions and vendor evaluations for DLP and search tools.
  • Drive production rollout and self-service onboarding for the enterprise data access platform.
  • Design and implement export-control enforcement, audit logging, and RBAC controls.
  • Integrate enterprise content sources into the AI knowledge platform for agent consumption.
  • Define production readiness gates and maintain ownership of integration correctness and quality.
  • Serve as the technical lead to align stakeholders across Security, Legal, Finance, and AI teams.
  • Mentor engineers and foster a culture of documentation and operational rigor.

What we're looking for

  • Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
  • 15+ years of experience building and operating large-scale enterprise platforms.
  • Strong foundation in backend systems, distributed systems, and high-performance computing.
  • Experience with large-scale data processing, indexing pipelines, and systems designed for reliability and scale.
  • Experience building or integrating secure API platforms, data connectors, or enterprise SaaS integrations at scale.
  • Proven ability to drive cross-functional alignment across Security, Legal, Finance, and platform engineering teams.
  • Excellent written and verbal communication skills to translate complex technical tradeoffs into executive-level clarity.
  • Export-control enforcement, and production readiness.

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