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How much do gaussian splatting jobs pay per year?

As of Jun 8, 2026, the average yearly pay for 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 a Gaussian Splatting job?

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 are the key skills and qualifications needed to thrive in the Gaussian Splatting position, and why are they important?

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 typical daily tasks of a Gaussian Splatting specialist within a visual computing team?

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.

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Gaussian Splatting jobs near you
Summer Research Intern, 3D Gaussian Splatting

Summer Research Intern, 3D Gaussian Splatting

Ofinno

Reston, VA • On-site

Internship

Retirement, PTO

Posted 18 days ago

Job description

About Ofinno:
Ofinno is a leading research and development lab headquartered in Reston, Virginia, specializing in advancing communication and media standards. Our team's innovative work has led to significant contributions to technologies such as 5G cellular, Wi-Fi, and media compression. Ofinno holds strategic partnerships and licensing agreements with several of the world's leading technology companies that use such technologies. At Ofinno, we foster an environment of collaboration and excellence, where researchers can focus on delivering breakthroughs that shape the future of technology.
Position Overview:
As a Summer Research Intern in the Advanced Media Lab, you will work alongside two senior engineers to jump-start Ofinno's 3DSDK software stack around 3D Gaussian Splatting (3DGS) coding. The 10-week, on-site summer internship is software-integration-first, with research-flavored work layered on top as time allows. You will integrate V-PCC and 3DGS preprocessing into ffmpeg, contribute to an initial encoder-plus-decoder tool chain, and ship reproducible code that the AML team can iterate on after you leave.
Key Responsibilities:
As a Summer Research Intern in 3D Gaussian Splatting, you will:
  • Integrate MPEG V-PCC into ffmpeg - encoder-side wrapper / filter / codec module, build-system integration, and test fixtures against reference content.
  • Implement a basic 3DGS preprocessing path in ffmpeg - a clean preprocessing utility that takes a reference Gaussian Splat asset and produces the input expected by the encoder.
  • Contribute to an initial encoder-plus-decoder tool chain - the decoder-side counterpart and the glue needed to run an end-to-end encode → decode round-trip on at least one reference asset.
  • Make integration-level design and trade-off calls - parameter defaults, container choices, color and colorspace handling, basic profiling and optimization.
  • Document and hand off the work - deliver a week-3 integration plan, a week-6 mid-program demo, and a final technical report plus handoff doc supporting FTE follow-on at week 10.
  • If time allows, pursue a scoped research-flavored exploration informed by integration learnings - e.g., a preprocessing variation, an RD trade-off study, or a profiling-driven optimization.

Qualifications:
Minimum:
  • Currently enrolled Ph.D. student (post-qualifying-exam) in EE / CS or related field - graphics, computer vision, signal processing, or systems.
  • Strong C / C++ - comfortable reading and modifying a non-trivial production codebase (ffmpeg, V-PCC reference implementation, or equivalent).
  • Python proficiency for tooling, scripting, and tests.
  • Familiarity with at least one of: video / point-cloud / 3DGS coding stacks; ffmpeg internals (libavcodec, libavformat, the filter API); build systems for large C / C++ projects.
  • Engineering judgment - willing to choose pragmatic integration paths over open-ended research detours, and to scope work to fit a 10-week window.
  • Strong written and verbal communication, including the ability to document design decisions, write a clear technical report, and present results to the team.
Preferred:
  • Prior experience touching a real codec or media pipeline - school project, open-source contribution, prior internship, or thesis work.
  • Exposure to 3D Gaussian Splatting, point-cloud compression, neural rendering, or learned image / video compression.
  • Comfortable with profiling tools (perf, VTune, gprof, or equivalent) and basic performance work on C / C++ codebases.
  • Familiarity with rate-distortion methodology and standard quality metrics.

What else you should know
Our people are our business. We know you have to see it to believe it, but here are some of the perks you can count on:
  • 401(K) matching - We help you plan and save for retirement with a 401(K) matching program that's available on day one.
  • Free healthcare plans - Ofinno covers full premiums for you and your family on select healthcare plans, including employer HSA contributions if applicable.
  • Free Food - Our kitchen is always fully stocked, including lunch, protein bars, fruit, sodas, coffee, and tea.
  • Unlimited Paid Time Off - Our lives are enriched by family time, vacations, and personal time. We offer unlimited paid time off and sick leave.
  • On-campus gym - Unwind, reduce stress and feel great - even when you're at work.
  • Other benefits, too long to list - Please discuss with our great People Ops team about additional benefits offered.

What Now?
What are you waiting for? We hope you will click on the link and forward your credentials to us today. All your information will be kept confidential according to EEO guidelines.

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