Senior Software Engineer - Enterprise Data
NVIDIA· Engineer, SW
Santa Clara, CA$168k - $270.3k + equityfull-timePosted 1mo ago
About the role
Senior Staff Engineer to build NVIDIA's Enterprise Data Governance platform, focusing on sensitive-information protection, governed data access at scale, and enterprise AI knowledge readiness within a large-scale enterprise environment.
Responsibilities
- Own the roadmap for sensitive-information detection and remediation, defining classification models, remediation workflows, and leadership-trusted reporting.
- Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, iterating on precision and recall as data evolves.
- Drive production rollout and self-service onboarding for the enterprise data access platform across connectors (email, messaging, document stores, and search)
- Design and implement export-control enforcement and long-term audit logging, including authorization checks, schema design, data masking, retention, and RBAC across connected systems.
- Integrate enterprise content sources into the AI knowledge platform, ensuring content is accurate, fresh, and correctly scoped for authorized access.
- Set and enforce the quality bar for content ingestion across all integrations (freshness, accuracy, access-control correctness).
- Serve as technical lead across all three charters, making architectural calls and guiding the team to ship.
- Raise the engineering bar through code reviews, design reviews, and technical mentorship.
Qualifications
- Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
- 8+ years of experience building and operating large-scale enterprise platforms with growing scope and ownership.
- Strong foundation in backend systems, distributed systems, and data engineering (large-scale data processing, indexing pipelines, reliability, and scale).
- Experience building or integrating data connectors or enterprise SaaS integrations (e.g., Confluence, SharePoint, Google Drive, Slack, Teams, or similar).
- Experience training and evaluating ML models for classification tasks, particularly in security, content sensitivity, or information governance domains.
- Strong communication skills to translate complex technical tradeoffs for non-technical stakeholders.
- Comfortable making calls with incomplete information and adjusting priorities quickly.
Skills
Required:Sensitive-information detection and remediationML model training and evaluation for classificationBackend systemsData connectors / enterprise SaaS integrationsCommunication to non-technical stakeholdersTechnical leadership
Benefits
- equity
- benefits (see company benefits page)
Last updated Oct 16, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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