Principal Engineer - Enterprise Content and AI Data Platform
Remote • US, CA, Santa Clara
Posted 3d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
NVIDIA is seeking a Principal Engineer to lead critical platform initiatives at the intersection of information security, enterprise collaboration, and AI. This role is pivotal in shaping how NVIDIA protects sensitive content, manages enterprise data access, and enables next-generation AI agents at scale. The platforms encompass sensitive information protection, a central data governance layer for enterprise content, and an AI knowledge platform for reliable AI agent consumption. The focus is on access control, export-control enforcement, and production readiness. This is a high-impact individual contributor role with potential for engineering leadership and management, requiring strong technical skills and the ability to influence stakeholders across Security, Legal, Finance, and AI teams.
Responsibilities
- Own the roadmap for sensitive information detection and remediation, defining classification models and remediation workflows.
- Lead build-vs-buy decisions and vendor evaluations for sensitive information protection tools.
- Drive the production rollout and self-service onboarding for the enterprise data access platform, including connectors for various enterprise applications.
- Design and implement export-control enforcement and long-term audit logging, including authorization checks and RBAC controls.
- Evaluate third-party partners to extend the data access platform for go-to-market motions.
- Drive the integration of enterprise content sources into the AI knowledge platform, ensuring accuracy and access control for AI agents.
- Define production readiness gates for the AI knowledge platform, focusing on integration correctness and quality.
- Serve as the technical lead across all workstreams, aligning stakeholders and clarifying ownership and priorities.
- Mentor engineers and foster a culture of documentation and operational rigor.
- Demonstrate readiness to grow into an engineering management role.
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.
- 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.
- 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.
- Demonstrated interest in growing into engineering leadership, with experience mentoring peers or leading projects.
- Comfortable holding ambiguity and driving decisions in a fast-paced environment.