AI-Driven Security Automation Engineer

NVIDIA; Town of Texas (WI); On-site; USD 168,000 - 311,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an AI and Automation Engineer to help build an AI-native security organization within the Office of the Chief Security Officer. You will design agent infrastructure, data pipelines, and MCP integrations, enabling scalable, real-time security workflows.

You’ll collaborate across Assurance Engineering to translate business needs into agent-ready solutions, mentor peers, and ensure secure, auditable data surfaces across pipelines while driving high-impact projects.

Qualifications

• 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.
• An 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.

Responsibilities

• Allocate dedicated capacity to agent builds — contributing directly to the development of AI agents that support our 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.

Skills

Python

Go

C++

AI pipelines

MCP patterns

Data engineering

AWS

Terraform

Airflow

Databricks

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

Claude Code

Codex

Cursor

Job description

NVIDIA is seeking an AI and Automation Engineer to help build an AI-native security organization within the Office of the Chief Security Officer. You will design agent infrastructure, data pipelines, and MCP integrations, enabling scalable, real-time security workflows.

You’ll collaborate across Assurance Engineering to translate business needs into agent-ready solutions, mentor peers, and ensure secure, auditable data surfaces across pipelines while driving high-impact projects.