AI Automation Engineer, Security

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CAAustin, TX
Salary
$168,000–$270,250 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $219k
$134k most similar roles pay here $285k

This role pays more than 66% of similar roles. Most pay $156,725–$235,750 — the shaded band above. At the midpoint, this role pays about $219k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 980 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · AI Automation Engineer, Security

As an AI and Automation Engineer at NVIDIA’s Office of the Chief Security Officer, you will join a dynamic Assurance Engineering team to develop autonomous AI tools that enhance security operations. Your daily tasks include designing and building agent infrastructure, data pipelines, and MCP integrations, while also mentoring other engineers on best practices. You’ll work closely with domain experts to translate business needs into intelligent systems that streamline processes and improve decision-making velocity in real-time environments. The role requires proficiency in Python, Go, or C++, along with experience in AI, agents, and large-scale data platforms like AWS, Terraform, Airflow, and Databricks. Ideal candidates have a background in Information Security or Cybersecurity and are passionate about leveraging NVIDIA’s AI stack to build innovative security solutions at scale.

What you'll do

  • Develop AI agents to support security programs including certifications, risk, and compliance.
  • Design and maintain infrastructure for agent workflows, ensuring efficient data retrieval and context delivery.
  • Translate business needs into data-driven solutions that reduce manual effort and enhance decision-making speed.
  • Implement MCP pattern integrations enabling structured interaction between security agents and various systems.
  • Manage ETL pipelines to ingest, transform, and serve data from multiple sources into a data lakehouse.
  • Ensure compliance with data security, privacy, and governance standards across all agent-related processes.
  • Monitor and optimize data infrastructure for efficiency, accuracy, speed, and scalability in real-time workloads.

What we're looking for

  • 8+ years of experience in Automation Engineering and Data Engineering
  • Proficiency with Python, Go, C++, or relevant programming languages
  • Experience building production workflows with AI, agents, and MCPs
  • Familiarity with AWS, Terraform, Airflow, Databricks, or similar platforms
  • Strong ownership and self-sufficiency in agile environments
  • Ability to deliver high-impact projects with minimal direction
  • Direct experience building AI agent pipelines in security contexts

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