Documentation Automation Engineer, Consumer Support at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

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

Skills

Python

Docker

Kubernetes

REST APIs

NLP

LLM

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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