NVIDIA has been the leader in computer graphics, gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. The NVIDIA Industrial Engineering Product organization is a strong and visible team pushing the boundaries of AI Physics digital twins. We’re looking for a self-starter with a mixture of technical and soft skills to craft technical content to educate and excite developers on groundbreaking technologies in AI Physics. You will develop content that inspires developers and engineers to adopt the NVIDIA platform through technical marketing assets and enables them through examples, documentation, and tutorials. Do you have the rare blend of both technical and communication skills? Are you passionate about groundbreaking technology? Do you love to make highly technical solutions simple and approachable? If so, we would love to learn more about you!
What You'll Be Doing:
Building: Collaborate with internal engineering and product teams as well as external partners to accelerate adoption of AI Physics in CAE by building workflows, pipelines, demos and technical content.
Communicating: Represent NVIDIA at trade shows and conferences with groundbreaking demos, training labs, publications, and more. Some travel to events will be required.
Inspiring: Work across teams in defining and creating a wide range of work to highlight how AI physics can help improve how people conceptualize, create and design.
Connecting: Help channel user feedback back to the NVIDIA teams to improve NVIDIA products and better enable engineers and researchers.
Enabling: Build high-quality training materials, developer blogs, and documentation to enable and educate the Developer community to accomplish things only possible with the NVIDIA platform
What We Need To See:
Bachelor’s degree or equivalent experience in Physics, Engineering, Computer Science, or a related field
5+ years of meaningful work experience in software development and/or research, spanning both computational sciences and AI/ML with proven ability to design and architect innovative solutions
Experience creating end-to-end engineering workflows including simulation (Ansys/StarCCM+/Commercial Solvers, etc.), AI/ML (PhysicsNeMo, PyTorch, TensorFlow, and similar tools), and post-processing
Fluency in Python with a deep understanding of AI concepts, simulation workflows and software development
Strong communication and interpersonal skills
Experience with NVIDIA's CUDA-X Platform, including SDKs like PhysicsNeMo, Warp, and other NVIDIA technologies
Passionate about presenting to technical audiences, working hands-on on complex engineering problems, and generating highly technical content for developers
Ways To Stand Out From The Crowd:
Master's degree or higher from a leading university in Physics, Engineering, Computer Science, or other related fields
Proven expertise with PhysicsNeMo, Warp, and Omniverse
Proven research and/or industry experience building end-to-end AI Physics workflows from engineering simulation datasets using popular model architectures (DoMINO, Transolver, etc.) including experience integrating AI surrogate models in production environments
We are widely considered to be one of the technology world’s most desirable employers. We have some of the most talented people in the world working with us. If you are agile, creative, and self-motivated, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.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.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.”
