AI Automation Engineer, Security

🕒 June 12

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $168k - $310.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 QA Automation Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 27%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop AI agents supporting security programs, including certifications, risk, and compliance • Build and maintain infrastructure for agent workflows, 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 integrations for agents to interact with data systems, tools, and APIs • Design, deploy, and maintain ETL and agentic data pipelines for 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 • Mentor engineers on data engineering, MCP patterns, and agent-native design principles • Partner with domain experts and collaborate across the CSO organization

🎯 Requirements

• 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 • Ability to ramp quickly on 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 • Direct experience building or supporting AI agent pipelines in a security, compliance, or enterprise operations context • Familiarity with NVIDIA's AI stack and passion to build security programs on top of it • Previous background in Information Security or Cybersecurity

🏖️ Benefits

• Equity • Benefits