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Gaussian Splatting Jobs in Ohio (NOW HIRING)

Gaussian Splatting information

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 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.

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 are the most commonly searched types of Gaussian Splatting jobs in Ohio?

The most popular types of Gaussian Splatting jobs in Ohio are:

What are popular job titles related to Gaussian Splatting jobs in Ohio?

For Gaussian Splatting jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Gaussian Splatting jobs?

Cities in Ohio with the most Gaussian Splatting job openings:

3D/4DGS Frontend Graphics Engineer

W3Global Inc.

Cleveland, OH • On-site

$90K - $110K/yr

Full-time

Re-posted 22 days ago


Job description

About the job

This is a full-time 3DGS research position in Cleveland, OH, with potential flexibility for some remote work and occasional travel. This is a rare opportunity for you to boost your experience in 3D/4DGS and related technologies. As a Frontend Graphics Engineer, you will test and build new 3D/4DGS visualization tools for web and VR. You will gain unlimited access to a large variety of 3D/4DGS raw data and cutting edge hardware to support development. You will track technology trends in NeRF and 3DGS and constantly evaluate new methods as they come out.


Disqualification

You must have extensive experience in 3DGS and have a good understanding of 4DGS rendering. If you are just looking for a SWE job, PLEASE DO NOT APPLY. Please only discuss your past experience relevant to 3DGS (e.g., code, results, etc.), or your application will be ignored. We don't care about your experience in React or AWS.


Qualifications

You should be very familiar with the fundamental aspects of 3D reconstruction, rendering, and visualization. Although knowledge of frameworks like Unity and Three.js is important, we are looking for someone who goes beyond these. You must keep yourself updated with the new 3D rendering and reconstruction technologies, be able to quickly evaluate new methods, experiment with their implementations, and quickly prototype tools with them. If you have worked with photogrammetry, SFM, and MVS, you are on the right track. If NeRF and 3DGS sound exciting to you, this is the job for you. You must be proficient in JS, Python, and WebGL, as many libraries and demo repos are based on those. You should have used Torch and COLMAP in the past. Knowledge in high proficiency data pipelines is a plus. For frontend 3D/4D Gaussian Splatting tools specifically, you need WebGL/WebGPU expertise including custom shader development and GPU compute pipelines. You should understand the GS rendering pipeline, including rasterization vs. splatting, alpha blending, and efficient sorting algorithms. Experience with 4D temporal handling, keyframe interpolation, compression and streaming large splat data is a big plus. You must be skilled in browser-based performance optimization, including Web Workers for multithreading, progressive loading, and mobile adaptation. Familiarity with point cloud libraries like Potree, compression techniques, and WebXR APIs would set you apart. If you've implemented papers from SIGGRAPH or have experience building interactive 3D viewers with timeline controls and quality adjustments, we want to hear from you. Finally, you must be authorized to work in the United States, as we are unable to sponsor H1B in the near term.


About our Client

Our client revolutionizes clinical image visualization. We integrate hardware and software to generate vivid and comprehensive 3D/4D visualizations of clinically relevant digital assets, as small as a cell and as big as your body. Leveraging AI and AR, we unlock novel clinical insights, provide comprehensive visual documentation, enhance diagnostic accuracy, and improve the clinical experience.


Things you should know

We are an early-stage startup. You will be one of the first members of our team, which means you will help shape our culture and build our foundation. You will have more freedom to make critical decisions, and you should feel comfortable criticizing or confronting decisions from others. It also means you must be proactive, responsible, and self-motivated. Working in a very small team also means you may feel a little bit lonely, lost, and unsupported. Administrative assistance is minimal. Policies can be unclear. You should be prepared for that. <10% travel is anticipated.


Interview Process

Pre-interview (~15-30 min): We introduce ourselves, ask basic questions, and determine if we like each other.

Behavioral interview (~30-45 min): We talk about your technical background, previous work experience, etc.

Technical interview(s) (~60 min): There will be one or two technical interviews. The interviews evaluate your proficiency in the skills needed for this position. You will prepare your own development environment and screen share your problem-solving process. We will provide instructions before the interview.


Last few things

You may be assigned to extra startup operational jobs, but we will keep things balanced across the team. We will work with a lot of images relevant to surgery. There will be flesh and blood in our data. Please make sure you are not uncomfortable with those. We value work-life balance, but there will be times of job overload occasionally


W3Global logo

About W3Global

Sourced by ZipRecruiter

W3Global has been delivering staffing solutions for nearly two decades; we know which recruiting strategies work best. Our expert team is committed to developing a customized solution to fit your company’s unique needs. As a W3Global client, you’ll also receive personalized assistance from a seasoned team of staffing specialists. We are committed to providing both technical support and industry expertise to simplify the hiring process. We know that your time matters. W3Global will help you streamline the hiring process, getting it done and getting it right.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Frisco, TX, US

Year founded

2006