1

Home Based Gaussian Splatting Jobs (NOW HIRING)

$110/hr

Design and implement a proof-of-concept (PoC) that showcases GS-based rendering on content of ... Gaussian Splatting or NeRF, differentiable rendering, neural graphics, or 3D computer vision.

Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods) * Depth in one or more areas of simulation: closed-loop testing ...

Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods) * Depth in one or more areas of simulation: closed-loop testing ...

next page

Showing results 1-20

Home Based Gaussian Splatting information

See salary details

$37.5K

$122.7K

$196.5K

How much do home based gaussian splatting jobs pay per year?

As of Sep 14, 2026, the average yearly pay for home based gaussian splatting in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Home Based Gaussian Splatting vs Home Based 3D Rendering Artist?

AspectHome Based Gaussian SplattingHome Based 3D Rendering Artist
Required CredentialsKnowledge of Gaussian Splatting techniques, computer graphics, and programmingProficiency in 3D modeling, rendering software, and artistic skills
Work EnvironmentRemote, computer-based, often involving coding and data processingRemote or studio-based, focusing on creating visual assets and animations
Industry UsagePrimarily in computer graphics, visual effects, and researchIn entertainment, advertising, and visual arts industries

While both roles involve computer graphics, Home Based Gaussian Splatting focuses on advanced data visualization and rendering techniques, often requiring programming skills. In contrast, Home Based 3D Rendering Artists emphasize creating visual content and animations using modeling and rendering software. The choice depends on whether you prefer technical data-driven work or artistic visual creation.

More about Home Based Gaussian Splatting jobs

What cities are hiring for Home Based Gaussian Splatting jobs?

Cities with the most Home Based Gaussian Splatting job openings:

What are the most commonly searched types of Gaussian Splatting jobs?

The most popular types of Gaussian Splatting jobs are:

What states have the most Home Based Gaussian Splatting jobs?

States with the most job openings for Home Based Gaussian Splatting jobs include:

Infographic showing various Home Based Gaussian Splatting job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Manager, Interactive World Model Platforms

Santa Clara, CA • On-site

NVIDIA Gruppe
Computer and Electronic Product Manufacturing • 10K+ employees

$320K - $488K/yr

Other

Posted 3 days ago

New


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


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. We have released the model weights and an open‑source inferencing engine. NVIDIA’s mission is to make interactive world models viable wherever dynamic worlds matter—from autonomous vehicles and robotics to rendering and simulation.

Key Responsibilities
  • Scale the engineering team building NVIDIA’s interactive world‑model platform across OmniDreams, FlashDreams, and AlpaSim technologies.
  • Establish the production engineering path for interactive world models in autonomous vehicles, 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.
Qualifications
  • Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural reconstruction, neural shading, simulation, robotics, or autonomous vehicles.
  • 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 of experience, 5+ years leading teams.
  • Bachelor’s degree or equivalent experience.
  • Results‑focused leadership: build the process, hit dates, and uphold the quality bar.
Preferred Qualifications
  • Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for autonomous vehicles, 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 autonomous vehicles.
  • 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.
Benefits

Competitive salaries and a generous benefits package. Base salary ranges are $272,000–$431,250 for Level4 and $320,000–$488,750 for Level5, based on location and experience. Equity and comprehensive benefits are also available. Applications will be accepted until 30June2026.

EEO Statement

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. NVIDIA values diversity and does not discriminate in hiring or promotion on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.

#J-18808-Ljbffr

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

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