About the role
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.Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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