Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural reconstruction, neural shading, simulation, robotics, or AV.
Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural reconstruction, neural shading, simulation, robotics, or AV.
Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural reconstruction, neural shading, simulation, robotics, or AV.
Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural reconstruction, neural shading, simulation, robotics, or AV.
Gaussian Splatting information
What is Gaussian Splatting?
A Gaussian Splatting job typically involves rendering 3D scenes using point-based representations with anisotropic Gaussians. This technique is used in graphics and visualization to efficiently approximate surfaces and lighting effects. Professionals in this role may work on optimizing algorithms, improving rendering quality, or integrating Gaussian splatting into real-time applications like games and simulations. Strong skills in computer graphics, math, and programming are often required.
What does a Gaussian Splatting specialist do?
A Gaussian Splatting specialist typically spends their days designing and implementing algorithms for real-time neural scene rendering, testing rendering performance on various hardware, and troubleshooting graphical artifacts or efficiency bottlenecks. Their work often involves close collaboration with software engineers, 3D artists, and machine learning researchers to optimize the integration of splatting techniques into existing graphics pipelines. Regular responsibilities may also include participating in code reviews, contributing to technical documentation, and staying updated on the latest advancements in 3D rendering technology. This collaborative, dynamic environment offers the opportunity to work on visually impactful projects and influence cutting-edge visualization tools.
What skills and qualifications are needed for Gaussian Splatting?
To excel as a Gaussian Splatting specialist, candidates typically need a strong background in computer graphics, computational mathematics, and 3D rendering, often supported by an advanced degree in computer science, engineering, or a related field. Familiarity with programming languages such as C++, Python, and specialized graphics libraries (e.g., CUDA, OpenGL, Vulkan), as well as experience with neural rendering frameworks, is commonly required. Creative problem-solving, attention to detail, and strong collaboration skills are key soft attributes in this role. These skills are critical for developing efficient, high-quality neural rendering solutions and for integrating cutting-edge visualization techniques into real-time graphics pipelines.
What are the most commonly searched types of Gaussian Splatting jobs in Texas?
The most popular types of Gaussian Splatting jobs in Texas are:
What are popular job titles related to Gaussian Splatting jobs in Texas?
For Gaussian Splatting jobs in Texas, the most frequently searched job titles are:
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What job categories do people searching Gaussian Splatting jobs in Texas look for?
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Nvidia rating
9.6
Based on 18 frontline employees who took The Breakroom Quiz
6th of 247 rated software companies
Job description
NVIDIA's OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems. With this release, NVIDIA has set the standard for fidelity, real-time inference performance in world models. And, we've put our work in the open with an open weights model release with an associated open source inferencing engine. We are on a mission to keep raising that bar, making interactive world models viable wherever dynamic worlds matter: autonomous vehicles, robotics, rendering, and simulation.
We are seeking an engineering leader to transform this technology lead into an industry standard platform and ecosystem. You will form the team that keeps FlashDreams fast, makes OmniDreams useful in real workflows, and helps customers and researchers succeed with the stack. Success means more than shipping software: it means high-quality solutions, trusted releases, strong performance, engaged developers, and research feedback that compounds. You'll work alongside outstanding research teams and NVIDIA leadership. If turning breakthrough research into something developers rely on every day sounds like the best job you can envision, we'd love to talk.
What you'll be doing:
Scale the engineering team building NVIDIA's interactive world-model platform across OmniDreams, FlashDreams, AlpaSim technologies.
Establish the production engineering path for interactive world models in AV, rendering, robotics, and simulation.
Build the architecture and processes needed to turn fast paced research into reliable developer-facing software.
Own product and engineering excellence: performance, scalability, reliability, developer experience, CI/CD, and release management.
Partner with research, simulation, rendering, and AV teams to translate world-model breakthroughs into production-ready platform capabilities.
Grow the open developer and research ecosystem around NVIDIA's world-model stack.
What we need to see:
Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural reconstruction, neural shading, simulation, robotics, or AV.
Technical fluency in the ML primitives behind interactive world models, including diffusion or flow-matching models, autoregressive / causal video generation, self-forcing or causal-forcing style training, Gaussian splatting, NeRFs, and neural reconstruction.
Demonstrated experience turning research-stage systems into dependable, scalable products.
12+ overall years experience, 5+ years leading teams.
Bachelors degree or equivalent experience.
Results-focused leadership: you build the process, hit the dates, and hold the quality bar.
Ways to stand out from the crowd:
Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, robotics, simulation, synthetic data, or production rendering workflows.
Hands-on experience building, adapting, or deeply evaluating world models, video generation systems, neural rendering systems, Gaussian splatting / NeRF pipelines, or neural shading techniques.
Experience moving from earlier neural rendering approaches, such as NeRFs or Gaussian splatting, toward generative world models for interactive simulation, rendering, robotics, or AV.
Published or peer-recognized work advancing the state of the art in world models, neural rendering, generative simulation, video generation, or production ML infrastructure.
Experience building developer ecosystems or research communities around open-source projects.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services 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 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 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 an inclusive 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.About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC 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. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US