Nvidia

Principal Engineer - Enterprise Content and AI Data Platform

US, CA, Santa Clara · Principal

Sponsorship not specifiedDetected 5 days ago

Distributed SystemsDatabricksVector DatabasesPlatform EngineeringData EngineeringLLMsRAGAgentic AIConfluenceLeadershipCommunicationCollaborationMentoringMicrosoft OfficeSharePoint

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odds of building a lasting career here

42Risky

Cap-exempt (no lottery)0

Sponsors this role100

Entry-level history0

PERM / green-card track0

Lottery odds40

Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 843 green-card filings in this occupation, 97% were for a worker who already held the job.

Green-card follow-through: 95%

Of 584 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
It's a unique legacy of innovation that's fueled by incredible technology-and amazing people.
Today, we're tapping into the unlimited potential of AI to define the next era of computing.

Responsibilities

Lead build-vs-buy decisions and vendor evaluations to determine what to invest in internally versus augment with third-party DLP or search tools.
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 that could extend the platform for NVIDIA's customer-facing go-to-market motions.
Define production readiness gates and maintain a clear ownership boundary:
this team owns integration correctness and quality, not full platform operations.
Experience building or integrating secure API platforms, data connectors, or enterprise SaaS integrations at scale (e.g., Confluence, SharePoint, Google Drive, Slack, Teams, or similar).
Proven ability to drive cross-functional alignment across Security, Legal, Finance, and platform engineering teams.

Requirements

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, with a track record of growing technical scope and influence beyond individual execution.
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.

Benefits

Doing what's never been done before takes vision, innovation, and the world's best talent.

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This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.