{"id":2577585,"url":"https://alion.io/job/nvidia-staff-engineer-enterprise-data-governance","title":"Staff Engineer - Enterprise Data Governance","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":479,"ghost_share":0.015,"stale_share":0.516,"repost_share":0.033,"time_to_fill_p50_days":28,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":168000,"max":270250,"currency":"USD","period":"year","gross":null,"usd_annual":270250},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"DLP","optional":false},{"name":"Google Drive","optional":false},{"name":"LLM","optional":false},{"name":"OneDrive","optional":false},{"name":"Outlook","optional":false},{"name":"RAG","optional":false},{"name":"SharePoint","optional":false},{"name":"Slack","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T10:28:32Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by incredible technology and amazing people. Today, we're using the power of AI to define the next era of computing, with our GPU acting as the brains of computers, robots, and self-driving cars. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.\nNVIDIA is hiring a Staff Engineer to build the company's Enterprise Data Governance platform. This platform spans sensitive-information protection, governed data access across every collaboration and content system at NVIDIA, and the knowledge infrastructure that makes our enterprise AI trustworthy and accurate. What makes this role genuinely hard is the tension at its core: AI agents need broad, deep access to enterprise knowledge to be useful, while export controls, legal constraints, and security policy demand precise, auditable access control. Getting both right, across dozens of systems and one of the most complex enterprise environments in the industry, is the problem this team is solving. We are looking for technically strong engineers across the senior to principal level who thrive on hard infrastructure problems and want to own work that is central to how NVIDIA operates at scale.\nWhat You Will Be Doing:\nSensitive Information Protection\nOwn the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust.\n\nEvaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves.\n\nGoverned Data Access at Scale\nDrive 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).\n\nDesign and implement export-control enforcement and long-term audit logging, including authorization checks, schema design, data masking, retention, and RBAC controls across every connected system.\n\nEnterprise AI Knowledge Readiness\nIntegrate enterprise content sources including document stores, wikis, and cloud drives into the AI knowledge platform, ensuring content is accurate, fresh, and correctly scoped so AI agents only surface what they are authorized to access.\n\nSet and enforce the quality bar for content ingestion across every integration, from freshness and accuracy to access-control correctness.\n\nTechnical Leadership\nServe as technical lead across all three charters, making architectural calls, resolving ambiguity, and keeping the team focused on what ships.\n\nRaise the engineering bar through code reviews, design reviews, and technical mentorship.\n\nWhat We Need To See:\nBachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).\n\n8+ years of experience building and operating large-scale enterprise platforms, with demonstrated growth in technical scope and ownership.\n\nStrong foundation in backend systems, distributed systems, and data engineering, including large-scale data processing, indexing pipelines, and systems built for reliability and scale.\n\nExperience building or integrating data connectors or enterprise SaaS integrations (e.g., Confluence, SharePoint, Google Drive, Slack, Teams, or similar).\n\nExperience training and evaluating ML models for classification tasks, particularly in security, content sensitivity, or information governance domains.\n\nStrong communication skills with the ability to translate complex technical tradeoffs into clear recommendations for non-technical stakeholders.\n\nComfortable making calls with incomplete information and adjusting quickly as priorities shift.\n\nWays to Stand Out From The Crowd:\nFamiliarity with access control models, remediation workflows, and audit requirements in enterprise security or compliance contexts.\n\nExperience with AI/LLM data pipelines, vector stores, or RAG architectures, especially where access control fidelity is a hard requirement.\n\nHands-on experience with Databricks for audit logging and RBAC, or familiarity with Glean or similar enterprise search/DLP products.\n\nTrack record of leading platform migrations, tenant consolidations, or governance modernization at scale.\n\nExperience mentoring engineers or leading cross-functional projects that required alignment across Security, Legal, Finance, and platform teams to ship.\n\nNVIDIA 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!\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 18, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA 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.","description_format":"text","description_chars":5891,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-15T00:36:42Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":28,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":270250,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-staff-engineer-enterprise-data-governance","json_url":"https://alion.io/job/nvidia-staff-engineer-enterprise-data-governance.json","meta":{"generated_at":"2026-10-15T11:06:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17052,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-staff-engineer-enterprise-data-governance"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-staff-engineer-enterprise-data-governance"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-staff-engineer-enterprise-data-governance"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-staff-engineer-enterprise-data-governance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-staff-engineer-enterprise-data-governance"}]}