AI Automation Engineer, Security

NVIDIA AI; Santa Clara (CA); On-site; USD 168,000 - 311,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI seeks an AI and Automation Engineer to build an AI-native security organization with agent-enabled tooling. You will help design agent infrastructure, data pipelines, and MCP integrations, partnering with domain experts to translate needs into scalable solutions.

Role spans ETL, data governance, and real-time agent workloads, with emphasis on security, privacy, and governance across all data surfaces. Strong leadership and communication are essential.

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 security programs.
• Build and maintain infrastructure to support agent workflows, including retrieval, context delivery, and agent-to-agent coordination.
• Translate business needs into data-driven, agent-ready solutions to reduce manual effort and improve decision velocity.
• Architect and implement MCP pattern integrations enabling agents to interact with data systems, tools, and APIs.
• Own the design, deployment, and maintenance of ETL and agentic data pipelines into the data lakehouse.
• Ensure data security, privacy, and governance across pipelines and data surfaces.
• Monitor and optimize data infrastructure, pipelines, and agents for real-time workloads.
• Mentor engineers on data engineering, MCP patterns, and agent-native design principles.

Skills

Python

Go

C++

AI workflows

MCP patterns

Agent tech

Data pipelines

AWS

Terraform

Airflow

Databricks

Leadership

Communication

Education

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

Tools

Claude Code

Codex

Cursor

AWS

Terraform

Airflow

Databricks

Job description

Job Requisition ID

JR2016797

Job Category

IT - Information Technology

Time Type

Full time

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 us create something new — an AI-native, agent-enabled security organization built from the ground up. As part of the Assurance Engineering team, you’ll partner domain experts who will help you understand the problem space while you bring the 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. If you love building intelligent systems and want to see them make a real impact, this is the role for you.

What You'll Be Doing

• 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.

What We Need To See

• 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.

Ways To Stand Out From The Crowd

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

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.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.