← All roles

Principal Engineer - Enterprise Content and AI Data Platform

NVIDIA· Engineer, SW
Apply on company site
Santa Clara, CA$248k - $391kFull-timePosted 2mo ago

About the role

Principal Engineer to lead three platform charters at the intersection of information security, enterprise collaboration, and AI, focusing on sensitive-information protection, data governance, and an enterprise AI knowledge platform. High-impact IC role with path to engineering leadership and management; requires cross-functional collaboration with Security, Legal, Finance, and AI platform teams.

Responsibilities

  • Own the roadmap for sensitive-information detection and remediation — partnering with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust.
  • Lead build-vs-buy decisions and vendor evaluations to determine internal vs third-party investments in DLP or search tools.
  • Drive production rollout and self-service onboarding for the enterprise data access platform, spanning connectors across email, messaging, document stores, and search (Outlook, Teams, Slack, Confluence, OneDrive, SharePoint, Google Drive, Glean).
  • Design and implement export-control enforcement and long-term audit logging — including authorization checks, schema design, data masking, retention, and RBAC controls; evaluate third-party partners for customer-facing motions.
  • Drive integration of enterprise content sources — document stores, wikis, and cloud drives — into the AI knowledge platform, ensuring content is accurate, fresh, and access-controlled for agent consumption.
  • Define production readiness gates and maintain ownership boundary: integration correctness and quality rather than full platform operations.
  • Serve as the technical lead across all three workstreams, aligning stakeholders and driving clarity on ownership and priorities.
  • Mentor engineers and foster documentation, runbooks, and operational rigor; demonstrate readiness to grow into engineering management.

Qualifications

  • Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
  • 15+ years of experience building and operating large-scale enterprise platforms with growing technical scope and influence.
  • Strong foundation in backend systems, distributed systems, and high-performance computing; experience with large-scale data processing, indexing pipelines, and reliable, scalable systems.
  • Background in enterprise security, data governance, or compliance platforms; familiarity with classification, remediation workflows, access control models, and audit requirements is a plus.
  • Experience building or integrating secure API platforms, data connectors, or enterprise SaaS integrations at scale (e.g., Confluence, SharePoint, Google Drive, Slack, Teams).
  • Proven ability to drive cross-functional alignment across Security, Legal, Finance, and platform engineering teams.
  • Excellent written and verbal communication; ability to translate complex technical tradeoffs into executive-level clarity.
  • Demonstrated interest in growing into engineering leadership; mentoring, leading projects, or informal leadership experience.
  • Comfortable with ambiguity and rapid decision-making in a fast-paced environment.

Skills

Required:Sensitive-information detection and remediationData governance & access control (RBAC, audit)Secure API platforms & data connectorsCross-functional leadership & stakeholder alignment

Benefits

  • Equity
  • Benefits (see NVIDIA benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA