NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of artificial intelligence to define the next era of computing. Our team helps make high-quality OpenUSD assets easier to package, validate, publish, discover, and reuse across digital twin and infrastructure workflows. This role sits at the center of content pipelines, contributor enablement, metadata quality, and asset discovery. If you enjoy turning complex technical workflows into clear, scalable systems that people can trust, this is a place to build meaningful change!
What you’ll be doing:
Own and improve OpenUSD-based content workflows for reusable technical assets, from intake and packaging through validation, publishing, and lifecycle updates.
Define practical metadata, profile, and validation requirements for infrastructure, simulation, and digital twin assets.
Partner with engineering, program, content, and contributor teams to improve packaging, versioning, publishing, and asset readiness patterns.
Support internal teams and external contributors as they prepare, refine, and submit assets into structured workflows.
Shape how approved assets appear across catalog, browser, and search surfaces so they are easier to find and reuse.
Create workflow guidance, examples, and reusable technical content that makes participation repeatable and scalable.
What we need to see:
Bachelor’s degree in Computer Science, Engineering, Digital Media Production, Design Technology, or a related field, or equivalent experience.
8+ years building, supporting, or improving production content pipelines, technical asset workflows, or digital twin content operations.
Strong working knowledge of OpenUSD asset structure, composition, packaging, validation, and publishing practices.
Ability to define clear metadata requirements, validation rules, asset profiles, and contributor-ready workflow standards.
Strong technical writing skills, with a record of creating documentation, examples, or enablement material for technical users.
Collaborative approach to solving workflow problems across engineering, content, program, partner, and contributor teams.
Ways to stand out from the crowd:
Hands-on work with Omniverse, Isaac Sim, OpenUSD validation tooling, or asset publishing systems.
Familiarity with catalog, browser, search, or asset discovery surfaces for reusable technical content.
Background in data center, robotics, industrial digital twin, architecture, engineering, construction, manufacturing, or infrastructure domains.
Knowledge of metadata profiles, packaging standards, lifecycle management, or versioning strategies for reusable assets.
Strength in turning recurring contributor friction into durable process, tooling, or documentation improvements.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Skills Required
- Bachelor's degree in Computer Science, Engineering, Digital Media Production, Design Technology, or equivalent experience
- 8+ years building, supporting, or improving production content pipelines
- Strong working knowledge of OpenUSD asset structure and validation practices
- Ability to define clear metadata requirements and validation rules
- Strong technical writing skills with a record of creating documentation
- Collaborative approach to solving workflow problems across teams
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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