AI Automation Engineer, Security

at Nvidia

USD 168,000-310,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API AWS @ 4 Agile @ 7 Airflow @ 4 Claude Code @ 3 Codex @ 3 Communication @ 6 Compliance @ 4 Data Engineering @ 4 Data Pipelines Databricks @ 4 ETL Go @ 6 Leadership @ 7 Python @ 6 Security @ 4 Terraform @ 4

Details

The NVIDIA Office of the Chief Security Officer is seeking an AI and Automation Engineer to help build an AI-native, agent-enabled security organization. As part of the Assurance Engineering team, you will work with domain experts and collaborate across the CSO organization to develop agent infrastructure, data pipelines, and MCP integrations for security programs.

Responsibilities

Develop AI agents supporting security programs, including certifications, risk, and compliance.
Build and maintain infrastructure for agent workflows, including retrieval, context delivery, and agent-to-agent coordination.
Translate business needs into data-driven, agent-ready solutions that reduce manual effort and improve decision velocity.
Architect and implement MCP pattern integrations that allow security agents to interact with data systems, tools, and APIs.
Design, deploy, and maintain ETL and agentic data pipelines that ingest, transform, and serve data from multiple sources into the data lakehouse and downstream agent consumers.
Implement data security, privacy, and governance across pipelines and agent-accessible data surfaces.
Monitor, optimize, and troubleshoot data infrastructure, pipelines, and agents for efficiency, accuracy, speed, and scalability in support of real-time agent workloads.
Mentor engineers on data engineering, MCP patterns, and agent-native design principles.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience.
8 or more years of experience in Automation Engineering and Data Engineering.
Proficiency with Python, Go, C++, or other relevant programming languages.
Experience building and operating production workflows with AI, agents, and MCPs.
Familiarity with Claude Code, Codex, Cursor, or similar tools.
Ability to quickly learn and implement new AI tools and MCP patterns.
Experience with AWS, Terraform, Airflow, and Databricks or equivalent large-scale data platforms.
Strong ownership, self-sufficiency, and leadership skills in agile, fast-moving environments.
Proven ability to deliver high-impact, large-scale projects with minimal direction.
Excellent verbal and written communication skills.

Preferred Qualifications

Experience building or supporting AI agent pipelines in a security, compliance, or enterprise operations context.
Familiarity with NVIDIA's AI stack and interest in building security programs on it.
Background in information security or cybersecurity.

Compensation and Benefits

Base salary range of $168,000–$270,250 for Level 4.
Base salary range of $196,000–$310,500 for Level 5.
Base salary is determined by location, experience, and the pay of employees in similar positions.
Eligible for equity and benefits.
Applications will be accepted at least until August 28, 2026.
NVIDIA is an equal opportunity employer.