Widely considered to be one of the technology world’s most desirable employers, NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple subject areas to help us accelerate the next wave of computing.
In this role, you’ll work closely with engineering teams to edit and enhance code comments for the API Reference and developer documentation for the DriveOS platform. You may also work on programming guides and installation guides. Come join our technical writing team and help build the real-time, efficient computing platform driving our success in this exciting and quickly growing field.
What you’ll be doing:
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Create documentation plans and schedules.
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Document product platforms as they are being developed.
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Drive the technical review process in Windows and Linux environments.
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Partner closely with software engineers and development team to research, scope, and run documentation projects.
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Gain a greater understanding of the fundamentals of high-quality software development.
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Most of all, you get to have fun, pushing innovative deep-learning architectures to new heights.
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Your responsibilities also include researching technical information and interacting closely with engineering resources dispersed globally. May also prepare illustrations, diagrams, and charts. May test software to verify document accuracy.
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Projects may involve preparing individual sections of complex manuals or driving the complete production of conceptual and reference documents for sys admin and developer audiences.
What we need to see:
Expertise in writing and/or editing original and highly technical user documentation, resulting in polished and professional final documentation packages for advanced engineering customers. Your examples may include API references, user guides, release notes, installation guides, and context-sensitive help files.
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We prefer that you possess some computer programming experience and/or experience documenting APIs in the code using Doxygen.
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Experience with DITA (ideally using Oxygen XML Editor) is very valuable.
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Some experience with Sphinx, using reStructuredText and/or Markdown, would also be helpful.
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8+ years technical writing experience, preferably in an enterprise-level product company with an emphasis on technical user documentation.
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Skills for supporting multiple projects and multi-tasking.
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BA/BS in Technical Communications, Computer Science, Engineering, or related field (or equivalent experience).
Ways to stand out from the crowd:
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Solid understanding of Perforce, Github, Gitlab, Gerrit, or similar systems
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Some understanding of Deep Learning, neural networks, and software frameworks for machine intelligence
At NVIDIA, we are inventing some of the coolest technology to empower our partners to realize their artistic side, and further our technology leadership position. This allows us tackle problems that others can only dream of solving at this point.
The base salary range is 140,000 USD - 264,500 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
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.”
