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Senior Gaussian Splatting Jobs (NOW HIRING)

Senior Graphics Software Engineer

$143K - $177K/yr

T. is a premier technical staffing and consulting services firm seeking a Senior Graphics Software ... radiance fields, Gaussian splatting, compression, streaming) • Develop highly efficient ...

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Senior Gaussian Splatting information

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$25K

$80.3K

$163.5K

How much do senior gaussian splatting jobs pay per year?

As of Aug 24, 2026, the average yearly pay for senior gaussian splatting in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Gaussian Splatting vs Data Scientist?

AspectSenior Gaussian SplattingData Scientist
Required CredentialsAdvanced knowledge in computer graphics, programming, and mathematical modelingDegree in statistics, computer science, or related field; often requires experience with data analysis tools
Work EnvironmentResearch labs, graphics development teams, or tech companies focusing on visualization and renderingBusiness, tech, or research settings analyzing data to inform decisions
Industry UsageGraphics, visualization, and computer graphics industriesTechnology, finance, healthcare, and marketing sectors
Common Search/ComparisonOften compared for technical skills and project focusCompared for data analysis and decision-making roles

While Senior Gaussian Splatting specializes in advanced rendering techniques and computer graphics, Data Scientists focus on analyzing data to extract insights. Both roles require strong technical skills, but they serve different industry needs and environments.

More about Senior Gaussian Splatting jobs

What cities are hiring for Senior Gaussian Splatting jobs?

Cities with the most Senior 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 Senior Gaussian Splatting jobs?

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

Infographic showing various Senior Gaussian Splatting job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 44% Full Time, and 55% Part Time. Highlights an 36% Physical, 2% Hybrid, and 62% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Manager, Interactive World Model Platforms

Nvidia

Seattle, WA • On-site

Full-time

Re-posted 9 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 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.

Applications for this job will be accepted at least until June 30, 2026.

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.

What Nvidia employees say

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Hours and flexibility

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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

Year founded

1993