Documentation Automation Engineer, Consumer Support

Nvidia • Santa Clara, CA

78d • $136,000 - $212,750

About The Position

At NVIDIA, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. We are now looking for a Documentation Automation Engineer. NVIDIA's documentation complexity is increasing due to rapid product innovation. This position plays a key role in furthering our goal of expanding high-quality documentation and support based on AI, allowing writers to concentrate on generating new content. This role allows you to play a pivotal role in NVIDIA's transformation of documentation, developing systems that enhance accuracy, efficiency, and customer confidence.

Requirements

• BS degree in Computer Science, Technical Writing with automation experience, or related technical discipline (or equivalent experience).
• 5+ years of experience building software or tooling that supports documentation, data, or AI workflows.
• Proficient coding skills in Python; familiarity with containerization and REST APIs.
• Familiarity with NLP/LLM techniques (clustering, fine-tuning, few-shot learning) and AI-based content QA.
• Solid understanding of data analytics methods (descriptive through prescriptive).
• Experience with modern AI development tools and timely engineering for workflow acceleration.

Responsibilities

• Build and deploy automation to improve documentation accuracy, defect detection, and repair workflows.
• Develop internal tools and pipelines that leverage AI, NLP, and LLM technologies to modernize how support content is authored and maintained.
• Partner with Tech Writers, Support Engineers, and AI teams to streamline publishing and QA across thousands of customer-facing assets.
• Analyze large volumes of customer and documentation data to identify patterns, address critical issues, and continuously enhance triage quality.
• Build Docker/Kubernetes containerized microservices with REST APIs to improve scalability of documentation and support systems.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree