Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Security @ 3
Go @ 5
Terraform @ 3
Python @ 5
ETL @ 3
Airflow @ 3
AWS @ 3
Communication @ 3
Data Engineering @ 3
API @ 3
Databricks @ 3
Compliance @ 3
Agile @ 6
Codex @ 2
Claude Code @ 2
AI @ 3
Data Pipelines @ 3
- 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.
Details
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 create an AI-native, agent-enabled security organization. As part of the Assurance Engineering team, you'll partner with domain experts to understand problem spaces and deliver engineering solutions. You will design and build agent infrastructure, data pipelines, and MCP integrations to enable agent-driven security workflows.
Responsibilities
- Allocate dedicated capacity to agent builds — contribute directly to the development of AI agents that support security programs (certifications, risk, 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 enabling security agents to interact with data systems, tools, and APIs in a structured, scalable way.
- Design, deploy, and maintain ETL and agentic data pipelines to ingest, transform, and serve data from multiple sources into the data lakehouse and downstream agent consumers.
- Ensure data security, privacy, and governance are implemented across pipelines and agent-accessible data surfaces.
- Continuously monitor, optimize, and resolve issues with data infrastructure, pipelines, and agents for efficiency, accuracy, speed, and scalability to support real-time agent workloads.
- Mentor other engineers on data engineering, MCP patterns, and agent-native design principles.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field (or equivalent experience).
- 8+ years of professional experience in Automation Engineering and Data Engineering.
- Proficiency with Python, Go, C++ (or other relevant languages).
- Experience building and operating production workflows with AI, agents, and MCPs.
- Familiarity with Claude Code, Codex, Cursor, or similar tools.
- 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
- 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.
Compensation & Other Details
- Base salary ranges provided:
- Level 4: 168,000 USD - 270,250 USD
- Level 5: 196,000 USD - 310,500 USD
- You will also be eligible for equity and benefits (link to NVIDIA benefits in original posting).
- Applications accepted at least until May 1, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.