Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 3 Kubernetes @ 3 Python @ 2 Microservices @ 3 API @ 3 QA @ 3 NLP @ 3 LLM @ 3 GPU @ 3Details
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.
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.
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.
Compensation and Other Details
- Base salary range: 136,000 USD - 212,750 USD (base salary determined based on location, experience, and pay of employees in similar positions).
- You will also be eligible for equity and benefits. (See NVIDIA benefits page.)
- Applications for this job will be accepted at least until October 11, 2025.
Benefits
- Eligibility for equity and company benefits as described by NVIDIA.
Equal Opportunity
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. NVIDIA does not discriminate 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.