Senior AI Infrastructure Engineer, Security - DGX Cloud

AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable operation of our GPU cloud services. We are enabling engineering teams to innovate while proactively identifying, tracking, and mitigating risks across the entire technical task. This role is ideal for engineers who thrive at the intersection of security, infrastructure, and software engineering—and who want to build automated, intelligence-driven systems that protect NVIDIA’s most critical AI platforms.

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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. If you're creative and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse 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.