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. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. We are looking for an outstanding Senior Art Director to learn, understand, and bring to life our company story in physical and virtual event formats. Come join the team and see how you can make a lasting impact on the world!
NVIDIA is hiring a Principal Engineer to lead three interconnected and strategic platform charters at the intersection of information security, enterprise collaboration, and AI — forming the backbone of how NVIDIA protects sensitive content, governs enterprise data access, and powers the next generation of AI agents at scale. These platforms span sensitive-information protection and DLP, a central data governance layer that controls access to enterprise content across email, messaging, document stores, and search, and an enterprise AI knowledge platform that ingests and validates content for reliable consumption by AI agents — with a consistent focus on access control fidelity, export-control enforcement, and production readiness. This is a high-impact individual contributor role with a clear path into engineering leadership and management. We are looking for a technically strong engineer who is eager to grow beyond IC execution — someone who can own platform strategy, influence cross-functional stakeholders, and eventually step into leading and growing a team. Strong cross-functional partnership across Security, Legal, Finance, and AI platform teams is essential from day one.
What You Will Be Doing:
Sensitive Information Protection & Remediation
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 what to invest in internally versus augment with third-party DLP or search tools.
Enterprise Data Access & Governance
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 that could extend the platform for NVIDIA's customer-facing go-to-market motions.
Enterprise AI Knowledge Platform
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 a clear ownership boundary: this team owns integration correctness and quality, not full platform operations.
Leadership & Cross-functional Coordination
Serve as the technical lead across all three workstreams, aligning stakeholders in Security, Finance, Legal, and AI platform teams and driving clarity on ownership and priorities.
Mentor engineers and foster a culture of documentation, runbooks, and operational rigor; demonstrate readiness to grow into an engineering management role.
What We Need To See:
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.
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, or similar).
Proven ability to drive cross-functional alignment across Security, Legal, Finance, and platform engineering teams.
Excellent written and verbal communication skills; ability to translate complex technical tradeoffs into executive-level clarity.
Demonstrated interest in growing into engineering leadership — experience mentoring peers, leading projects, or taking on informal leadership responsibilities is a strong signal.
Comfortable holding ambiguity and driving decisions in a fast-paced, high-stakes environment.
Ways to Stand Out From The Crowd:
Experience with AI/LLM data pipelines, vector stores, or RAG architectures — particularly in connecting enterprise content sources to AI platforms with strict access controls.
Hands-on experience with Databricks or similar platforms for audit logging, data governance, and RBAC. Familiarity with Glean or similar enterprise search/DLP products and their integration patterns.
Experience with vendor evaluation and build-vs-buy decisions for enterprise security or content platforms.
Ability to leverage AI and agentic automation to drive operational efficiency and reduce engineering toil.
Track record of leading platform migrations, tenant consolidations, or governance modernization efforts.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 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.
- 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 (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 skills; ability to translate technical tradeoffs for executives.
- Background in enterprise security, data governance, or compliance platforms (classification, remediation workflows, access control models, audit requirements).
- Demonstrated interest and experience mentoring peers or leading projects and readiness to grow into engineering leadership.
- Experience with AI/LLM data pipelines, vector stores, or RAG architectures connecting enterprise content sources.
- Hands-on experience with Databricks or similar platforms for audit logging, data governance, and RBAC.
- Familiarity with Glean or similar enterprise search/DLP products and integration patterns.
- Experience conducting vendor evaluations and build-vs-buy decisions for enterprise security or content platforms.
- Track record of leading platform migrations, tenant consolidations, or governance modernization efforts.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
