NVIDIA

4 days ago

Principal Engineer - Enterprise Content and AI Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Lead three interconnected platform charters that protect sensitive enterprise content and govern data access while powering an AI knowledge platform for agent consumption. Own roadmap and build-vs-buy decisions for sensitive information protection and DLP, drive production rollout of a self-service enterprise data access platform (connectors across email, messaging, documents, and search), and integrate enterprise content sources into an AI-ready, access-controlled knowledge layer. Serve as technical lead, mentor engineers, and align Security, Legal, Finance, and AI teams.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Content & Editorial (Writing/Editing)

Seniority: Mid level

Key Responsibilities

•Own the roadmap for sensitive-information detection and remediation, partnering with Finance, Legal, and Security on classification models, remediation workflows, and trusted reporting.
•Lead build-vs-buy decisions and vendor evaluations for sensitive-information protection and enterprise data access components (including DLP/search tooling).
•Drive production rollout and self-service onboarding for an enterprise data access platform across connectors for email, messaging, document stores, and search, including export-control enforcement and audit logging.
•Integrate enterprise content sources into an AI knowledge platform, ensuring content accuracy, freshness, and access control for reliable agent consumption.
•Serve as technical lead across the three workstreams, align Security/Finance/Legal/AI stakeholders, mentor engineers, and cultivate documentation/runbooks and operational rigor.

Pay and Benefits

Salary: USD 248,000 - 391,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
•15+ years building and operating large-scale enterprise platforms with a track record of expanding technical scope and influence.
•Strong foundation in backend systems, distributed systems, and high-performance computing, including large-scale data processing and indexing pipelines.
•Background in enterprise security, data governance, or compliance platforms, including familiarity with classification, remediation workflows, access control models, and audit requirements.
•Experience building or integrating secure API platforms, data connectors, or enterprise SaaS integrations at scale (e.g., Confluence, SharePoint, Google Drive, Slack, Teams).

Experience:15+ yearsEnterprise platformsInformation securityData governanceLarge-scale data processingEnterprise SaaS integrations

Education:Bachelor's in Computer Science, Computer Engineering

Skills:Cross-functional collaborationTechnical mentorshipDocumentation disciplineCommunicationDecision-making under ambiguity

Tech Stack:DatabricksOutlookTeamsSlackConfluenceOneDriveSharePointGoogle DriveGleanDLPRBACLLMRAGVector stores

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 days ago

Principal Engineer - Enterprise Content and AI Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Content & Editorial (Writing/Editing)

Seniority: Mid level

Key Responsibilities

•Own the roadmap for sensitive-information detection and remediation, partnering with Finance, Legal, and Security on classification models, remediation workflows, and trusted reporting.
•Lead build-vs-buy decisions and vendor evaluations for sensitive-information protection and enterprise data access components (including DLP/search tooling).
•Drive production rollout and self-service onboarding for an enterprise data access platform across connectors for email, messaging, document stores, and search, including export-control enforcement and audit logging.
•Integrate enterprise content sources into an AI knowledge platform, ensuring content accuracy, freshness, and access control for reliable agent consumption.
•Serve as technical lead across the three workstreams, align Security/Finance/Legal/AI stakeholders, mentor engineers, and cultivate documentation/runbooks and operational rigor.

Pay and Benefits

Salary: USD 248,000 - 391,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
•15+ years building and operating large-scale enterprise platforms with a track record of expanding technical scope and influence.
•Strong foundation in backend systems, distributed systems, and high-performance computing, including large-scale data processing and indexing pipelines.
•Background in enterprise security, data governance, or compliance platforms, including familiarity with classification, remediation workflows, access control models, and audit requirements.
•Experience building or integrating secure API platforms, data connectors, or enterprise SaaS integrations at scale (e.g., Confluence, SharePoint, Google Drive, Slack, Teams).

Experience:15+ yearsEnterprise platformsInformation securityData governanceLarge-scale data processingEnterprise SaaS integrations

Education:Bachelor's in Computer Science, Computer Engineering

Skills:Cross-functional collaborationTechnical mentorshipDocumentation disciplineCommunicationDecision-making under ambiguity

Tech Stack:DatabricksOutlookTeamsSlackConfluenceOneDriveSharePointGoogle DriveGleanDLPRBACLLMRAGVector stores

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor