AI Automation Engineer, Security

Relha LLC; Santa Clara, Northern (CA, KY); Hybrid; USD 168,000 - 311,000; Full time

Job summary

NVIDIA is seeking an AI and Automation Engineer in Santa Clara, CA, to help build autonomous AI tools for security across agent infrastructure, data pipelines, and MCP integrations.

You will design and maintain ETL/data pipelines, ensure data governance, and collaborate with CSO to deliver scalable security solutions using AI agents. Strong Python/Go/C++ skills and 8+ years in automation/data engineering are required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field (or equivalent experience).
• 8+ years of experience in Automation Engineering and Data Engineering.
• Proficiency with Python, Go, C++, or other relevant languages.
• Experience with production AI/agent workflows and MCP patterns.
• Familiarity with Claude Code, Codex, Cursor, or similar tools.
• Experience with AWS, Terraform, Airflow, and Databricks or equivalent platforms.
• Strong ownership, self-sufficiency, and ability to lead in agile environments.
• Excellent communication skills.

Responsibilities

• Allocate dedicated capacity to agent builds to develop AI agents supporting security programs.
• Build and maintain infrastructure for agent workflows, including retrieval and coordination patterns.
• Translate business needs into data-driven, agent-ready solutions to reduce manual work and improve decision velocity.
• Architect MCP pattern integrations for agent interactions with data systems and APIs.
• Own design, deployment, and maintenance of ETL and data pipelines feeding a data lakehouse and downstream consumers.
• Ensure data security, privacy, and governance across pipelines and data surfaces.
• Monitor, optimize, and resolve issues with data infrastructure and agents for real-time workloads.
• Mentor other engineers on data engineering and MCP patterns.

Education

Bachelor's or Master’s degree in Computer Science, Engineering, IT, or related field

Tools

Python

Go

C++

AWS

Terraform

Airflow

Databricks

MCP patterns

ETL pipelines

AI tools familiarity

Job description

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.