Nvidia Senior AI Infrastructure Engineer Security - DGX Cloud 

United States, Texas 

344710263

What you’ll be doing:

• Design, build, and maintain scalable platforms and services that surface security signals and automate enforcement across multi-tenant cloud environments.

• Develop and operate risk management workflows that integrate with incident, change, and vulnerability management pipelines.

• Build and maintain dashboards, reporting pipelines, and audit tooling to communicate security risk posture to executive leadership and compliance stakeholders.

• Integrate infrastructure telemetry, threat intelligence, and operational data into real-time security monitoring and alerting systems.

• Leverage AI/ML models to identify anomalies, prioritize vulnerabilities, and reduce manual toil in security and compliance operations

What we need to see:

• BS degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.

• 5+ years of experience in infrastructure security, platform engineering, or security tooling.

• Proficiency in one or more programming languages such as Python, Go, Typescript, or Java.

• Strong understanding of software and infrastructure security principles, with experience applying them in production environments.

• Ability to lead cross-functional initiatives that span engineering, security, and compliance.

Ways to stand out from the crowd:

• Experience developing or integrating with security platforms (e.g., XSOAR, theHive). Experience operationalizing security incident response or managing security telemetry pipelines

• Experience using business reporting tools such as PowerBI, Tableau, and Looker Experience with ML or data science applied to security analytics—such as anomaly detection, signal enrichment, or alert deduplication.

• Strong written communication skills and a track record of producing documentation, playbooks, or guidance that drives adoption across teams.