AI Automation Engineer, Security

About the role

What if you could create autonomous AI tools that redefine how security works at one of the most innovative companies in the world? The NVIDIA Office of the Chief Security Officer is looking for an AI and Automation Engineer to help build an AI-native, agent-enabled security organization from the ground up. As part of the Assurance Engineering team, you’ll partner with domain experts to understand the problem space while applying your engineering skills to solve it. You’ll also collaborate across the broader CSO organization to design and build the agent infrastructure, data pipelines, and MCP integrations that make it all real.

Responsibilities

• Allocate dedicated capacity to agent builds — contributing directly to the development of AI agents that support security programs, including certifications, risk, and compliance.
• Build and maintain infrastructure to support agent workflows, including retrieval, context delivery, and agent-to-agent coordination patterns.
• Partner with team members to translate business needs into data-driven, agent-ready solutions that reduce manual effort and improve decision velocity.
• Architect and implement MCP pattern integrations that enable security agents to interact with data systems, tools, and APIs in a structured, scalable way.
• Own the design, deployment, and maintenance of ETL and agentic data pipelines to ingest, transform, and serve data from multiple sources into our data lakehouse and downstream agent consumers.
• Ensure data security, privacy, and governance are implemented across all pipelines and agent-accessible data surfaces.
• Continuously monitor, optimize, and resolve issues with data infrastructure, pipelines, and agents for efficiency, accuracy, speed, and scalability in support of real-time agent workloads.
• Mentor other engineers on data engineering, MCP patterns, and agent-native design principles.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field (or equivalent experience).
• 8+ years of working experience in Automation Engineering and Data Engineering.
• Proficiency with Python, Go, C++, or other relevant languages.
• Experience working and building production workflows with AI, agents, and MCPs.
• Familiarity with Claude Code, Codex, Cursor, or similar tools.
• Ability to ramp quickly on the use and implementation of new AI tools and MCP patterns.
• Prior experience with AWS, Terraform, Airflow, and Databricks or equivalent large-scale data platforms.
• Strong ownership, self-sufficiency, and ability to lead in agile, fast-moving environments.
• Proven ability to deliver high-impact, large-scale projects with minimal direction.
• Excellent verbal and written communication skills.

Skills

• Direct experience building or supporting AI agent pipelines in a security, compliance, or enterprise operations context.
• Familiarity with NVIDIA's AI stack and a passion for building security programs on top of it.
• Previous background in Information Security or Cybersecurity.

Pay

Your 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 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 28, 2026.