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Senior Gaussian Splatting Jobs (NOW HIRING)

Quidient

Senior Offline Mapping Engineer

Columbia, MD

$175K - $230K/yr

Overview Quidient is seeking a Senior Offline Mapping Engineer to own and advance the accuracy and ... Expertise in neural scene representations (NeRF, Gaussian Splatting, or similar). * Experience with ...

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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 Sep 2, 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

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

The most popular types of Gaussian Splatting jobs are:

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Senior Gaussian Splatting jobs near you
Infographic showing various Senior Gaussian Splatting job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior System Software Engineer - Neural Graphics Performance

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 4 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is a world-leader in Gaussian Splatting and Neural reconstruction. Our team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed-loop validation and closed-loop training grounded in real-world scenarios.
Love GSplat? So do we! We are looking for a graphics performance engineer to push Gsplat and other accelerated libraries to speed of light, achieving full system utilization and occupancy and enabling our latest hardware capabilities. Your software will run on incredible amounts of data to bridge the gap between the real world and simulations. Join our amazing team and help us build the future of Physical AI!
What you'll be doing:
  • Implement, validate, release and maintain highly-optimized reconstruction and rendering algorithms using CUDA and Slang.
  • Optimize data processing pipelines for low latency and maximum throughput.
  • Influence software architecture, validation strategy and technical roadmaps to ensure outstanding performance.

What we need to see:
  • Master's of Science in Computer Science or Electrical engineering (or equivalent experience).
  • 3 years of practical experience.
  • Strong fundamentals in real-time computer graphics. Expertise in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low-latency, high-throughput applications.
  • Expertise defining and driving performance metrics through profiling and benchmarking.
  • Proficiency with Python and C++.
  • Track record releasing production-grade software. Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
  • Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.
  • Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd:
  • Contributions to 3D game engines, graphics or computer vision SDKs.
  • Algorithmic expertise in neural reconstruction (NERFs, Gaussian Splats).
  • Experience developing high-performance distributed systems.
  • Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis.
  • History of multidisciplinary creativity and innovation around performance in multiple problem domains.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 2, 2026.
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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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