AI Automation Engineer, Security

🕒 Yesterday

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $168k - $310.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 QA Automation Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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

• 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.

🎯 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. • 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.

🏖️ Benefits

• Equity • Benefits