This role pays more than
93%
of similar roles. Most pay
$174,600–$233,457
— the shaded band above.
At the midpoint, this role pays about
$320k
versus about
$204k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Principal Engineer - Enterprise Content and AI Data Platform is a high-impact individual contributor role focused on three strategic platform charters at the intersection of information security, enterprise collaboration, and AI. The successful candidate will lead the roadmap for sensitive-information protection and remediation, drive production rollout for an enterprise data access and governance layer across platforms like Outlook, Teams, Slack, Confluence, and Google Drive, and manage the integration of content into an AI knowledge platform for agent consumption. Key responsibilities include making build-vs-buy decisions, implementing export-control enforcement, and ensuring data masking and RBAC controls. The role requires expertise in backend systems, distributed systems, high-performance computing, and large-scale data processing. Candidates should possess experience with vector stores, RAG architectures, Databricks, and enterprise search tools to solve complex problems regarding content security and reliable AI consumption.
Remote (Palo Alto, CA)+17 days ago
$242,634–$499,541
AI/ML Infrastructure
Distributed Systems
Generative AI
Recommender Systems
C++
Java
Rust
Data Orchestration
Model Training
Fine-tuning
Inference
Feature Stores
Multimodal Data Management