Documentation Automation Engineer, Consumer Support

Posted 16 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
136K-213K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves building automation for documentation processes using AI, developing tools for Tech Writers, and improving documentation systems.
Summary Generated by Built In

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.

What you’ll be doing:

  • 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.

What We Need to See:

  • 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.

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 11, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

AI
Docker
Kubernetes
Llm
Nlp
Python
Rest Apis
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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