Documentation Tools and Automation Engineer

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
Lead the development and implementation of technical documentation strategies for the automotive sector, focusing on the DriveOS Automotive Platform. Collaborate with technical writers, define project scopes, manage document reviews, and improve documentation quality using modern tools and processes.
Summary Generated by Built In

NVIDIA is looking for a diligent and meticulous Technical Documentation Engineer to coordinate the development and implementation of our technical documentation strategy for Automotive. In this role, you will lead all aspects of the documentation lifecycle, from infrastructure to publication and maintenance.

Are you passionate about crafting high-quality technical documentation that is usable, navigable, and complete? Are you experienced with modern software development environments and the needs of automotive and/or embedded developers? Do you have experience defining processes and workflows for crafting and maintaining technical documentation? If so, we are looking for you to join our team! You will be responsible for the infrastructure for the technical documentation of the DriveOS Automotive Platform, including Developer Guides, API References, Safety Manuals assessed for ISO26262 compliance, Cybersecurity Manuals assessed for ISO21434 compliance, and other documentation. You will be working across multiple platforms, including Linux, QNX, and Android, as well as supporting Windows and MacOS authoring platforms. 

What You'll Be Doing:

  • Develop and implement a comprehensive technical documentation strategy aligned with platform and company goals, based on GitLab, Sphinx, and reStructuredText.

  • Lead and collaborate with a team of technical writers and subject matter experts.

  • Define documentation requirements, project scope, timelines, and deliverables for Automotive documentation projects.

  • Manage the review, approval, and quality assurance process for all technical documents.

  • Define and track documentation metrics to show improvements in delivery, quality, usability, navigability, and completeness.

  • Track and analyze user feedback on documentation infrastructure and implement improvements.

  • Stay up-to-date on the latest trends and technologies in technical writing.

What We Need To See:

  • Bachelor's degree in a technical field (or equivalent experience).

  • Proficient in Git/GitLab for version control and collaboration on technical documentation.

  • Experience with Sphinx for generating structured documentation from reStructuredText (rST) sources (and/or Latex/Markdown).

  • Knowledge of reStructuredText (rST) syntax (and/or Markdown) and how to write and structure documentation effectively in a “docs as code” environment.

  • Solid experience with Python, especially in the context of automation, documentation generation, and integration.

  • Experience crafting and implementing automation workflows for documentation processes to streamline content updates, deployment, and version control.

  • Familiarity with CI/CD pipelines, preferably using GitLab CI for automating documentation builds and deployments.

  • Minimum 5 years of experience in a technical environment, preferably in Automotive or embedded.

  • Proven experience in developing and implementing documentation strategies and infrastructure.

  • Strong understanding of the technical writing lifecycle.

Ways To Stand Out From The Crowd:

  • Experience crafting API documentation, user manuals, installation guides, and other technical documentation deliverables.

  • Knowledge of techniques for reviewing, validating, and ensuring the accuracy and completeness of technical documentation.

  • An understanding of the Automotive Industry and relevant documentation practices.

  • Experience with documentation requirements for ISO26262 Functional Safety and ISO21434 Cybersecurity standards.

  • Experience working with Doxygen and with DITA.

Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving car empowered by AI can meander through a country road at night and find its way. An AI-powered robot can acquire motor skills through trial and error. This is truly an outstanding time. The era of AI has begun.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and passionate people in the world working for us. Are you creative, motivated, and looking for a challenge in the autonomous auto / self-driving car space? If so, we want to hear from you.

The base salary range is 132,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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