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How much do gaussian splatting jobs pay per year?

As of Aug 11, 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 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 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 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.

More about Gaussian Splatting jobs
What cities are hiring for Gaussian Splatting jobs? Cities with the most Gaussian Splatting job openings:
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Gaussian Splatting jobs near you
Infographic showing various Gaussian Splatting job openings in the United States as of August 2026, with employment types broken down into 53% Full Time, 46% Part Time, and 1% Contract. Highlights an 44% Physical, 1% Hybrid, and 55% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Staff Research Engineer, 3D Gaussian Splat Coding

Ofinno

Reston, VA • On-site

$235K - $300K/yr

Full-time

Retirement, PTO

Re-posted 6 days ago

Job description

Senior Staff Research Engineer, 3D Gaussian Splatting
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 Senior Staff Research Engineer in the Advanced Media Lab, you will serve as the technical owner for our 3D Gaussian Splatting (3DGS) coding direction. You will set research direction with cross-team impact, turning 3DGS coding ideas into reproducible evidence, standards-ready proposals (as applicable), and patentable inventions. This role is hands-on and execution-driven, bridging research and implementation to deliver measurable gains in compression efficiency, quality, and runtime complexity.
Key Responsibilities:
As a Senior Staff Research Engineer in 3D Gaussian Splatting, you will:
  • Own 3DGS coding technical direction end-to-end, from research framing to reproducible prototypes and proposal-ready evidence.
  • Design and evaluate novel coding tools for 3DGS representations (e.g., geometry/attribute representation, parameter quantization, entropy modeling, structure/cluster coding, streaming and progressive refinement).
  • Establish rigorous experimental methodology and benchmarking (rate-distortion, quality metrics, complexity/latency/memory), including ablations and reproducibility practices.
  • Collaborate cross-team to remove blockers, integrate tool interactions, and improve shared infrastructure (pipelines, scripts, datasets, configurations, regression tests).
  • Drive external-facing technical output as needed: author technical proposals, defend results, and align test conditions/baselines with partners or standards groups.
  • Invent and develop patentable solutions that improve efficiency and/or complexity, and support the full IP process - from invention disclosure through filing.
  • Mentor and multiply team output through code reviews, technical coaching, and onboarding others to 3DGS coding methodology and best practices.

Qualifications:
Minimum:
  • M.S. (EE/CS or related) with 7+ years of relevant research and/or product experience in compression, 3D/graphics/vision, and/or learned representations.
  • Prior delegate or active contributor experience in MPEG, with focus on immersive media and/or 3D representation coding.
  • Deep understanding of compression fundamentals and strong expertise in at least one of: 3D representations, neural rendering, point clouds, or view synthesis pipelines.
  • Hands-on experience with MPEG V-PCC and/or G-PCC implementations and/or tool development.
  • Proven ability to act as an architect/tech stack owner: make sound technical decisions, set direction, and drive execution through measurable outcomes.
  • Strong implementation skills: C/C++ for performance-critical prototypes and pipelines; Python for experimentation is a plus.
  • Strong written and verbal communication skills, including the ability to represent the company in standards meetings and industry events.
  • Track record of technical impact through peer-reviewed publications, patents, and/or standards contributions.
Preferred:
  • Ph.D. (EE/CS or related) with 7+ years of relevant research and/or product experience in compression, 3D/graphics/vision, and/or learned representations.
  • Hands-on experience in point cloud / volumetric / neural representation coding workflows and evaluation (datasets, metrics, streaming constraints).
  • Familiarity with the patent filing process and collaborating with patent attorneys.

What else you should know
Our people are ourbusiness.We know youhave tosee 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.
  • Freehealthcare plans -- Ofinno covers full premiums for you are 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, toolong 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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