Senior AI Infrastructure Engineer, Security - DGX Cloud

at Nvidia
USD 148,000-287,500 per year
SENIOR
âś… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Go @ 6 TypeScript @ 6 Python @ 6 Looker @ 4 Tableau @ 4 Java @ 6 Data Science @ 4 Leadership @ 4 Communication @ 7 Reporting @ 4 Audit @ 4 Compliance @ 4 GPU @ 4

Details

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.

Responsibilities

  • 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.

Requirements

  • 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.

Additional Information

NVIDIA is widely considered to be one of the technology world’s most desirable employers, leading groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU serves as the visual cortex of modern computers and is central to their products and services.

You will also be eligible for equity and benefits.