NVIDIA Corporation

AI Automation Engineer, Security

NVIDIA Corporation$168K — $310K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field (or equivalent experience).
  • 8+ years of relevant experience in Automation Engineering and Data Engineering.
  • Proficiency in programming languages such as Python, Go, or C++.
  • Experience with AI, agents, and MCP production workflows.
  • Familiarity with tools like Claude Code, Codex, and Cursor.
  • Proven track record with AWS, Terraform, Airflow, and Databricks or similar data platforms.
  • Strong ownership and leadership capabilities in agile environments.

Responsibilities

  • Contribute to the development of AI agents for security programs through dedicated resource allocation.
  • Build and maintain infrastructure for agent workflows and coordination patterns.
  • Collaborate to translate business needs into agent-ready, data-driven solutions.
  • Architect and implement integrations for security agents to interact with various data systems.
  • Design, deploy, and maintain ETL processes for data pipeline management.
  • Implement data security, privacy, and governance across agent data surfaces.
  • Monitor and optimize the efficiency and scalability of data infrastructure and agent operations.

Benefits

  • Be part of building an innovative AI-native security organization from the ground up.
  • Work in a collaborative environment alongside domain experts.
  • Opportunity to mentor other engineers, enhancing your leadership skills.
  • Engage with cutting-edge AI tools and platforms.
  • Potential for equity along with a comprehensive benefits package.
Full Job Description
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 June 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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