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Full Time Gaussian Splatting Jobs (NOW HIRING)

... Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy and safety teams to ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

... Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy and safety teams to ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

... Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy and safety teams to ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

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Full Time Gaussian Splatting information

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$37.5K

$122.7K

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How much do full time gaussian splatting jobs pay per year?

As of Jun 16, 2026, the average yearly pay for full time 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 Full Time Gaussian Splatting job?

A Full Time Gaussian Splatting job typically refers to a position focused on developing or applying Gaussian Splatting techniques, which are used in computer graphics and computer vision for rendering 3D scenes or reconstructing neural representations. Employees in these roles often work with algorithms that use Gaussian functions to efficiently synthesize photorealistic images or accelerate rendering processes. The job may involve research, software development, or implementation of advanced graphics pipelines, often in industries such as gaming, animation, or virtual/augmented reality. Full time positions usually require a background in computer science, mathematics, or a related field, as well as experience with graphics programming and machine learning.

What is the difference between Full Time Gaussian Splatting vs 3D Rendering Artist?

AspectFull Time Gaussian Splatting3D Rendering Artist
Required CredentialsKnowledge of computer graphics, programming, and rendering techniquesProficiency in 3D modeling and rendering software, often with a degree in art or design
Work EnvironmentTechnical teams, research labs, or software companiesCreative studios, advertising agencies, or entertainment industry
Industry UsagePrimarily in computer graphics research, visualization, and advanced rendering techniquesIn film, gaming, and visual effects production

Full Time Gaussian Splatting focuses on advanced rendering techniques using mathematical models, often requiring programming skills. In contrast, 3D Rendering Artists emphasize artistic skills and software proficiency to create visual content. Both roles involve rendering but differ in technical depth and industry application.

What are the key skills and qualifications needed to thrive as a 3D Graphics Engineer specializing in Gaussian Splatting, and why are they important?

To thrive as a 3D Graphics Engineer specializing in Gaussian Splatting, you need a strong background in computer graphics, mathematics, and programming, typically requiring a degree in computer science or related field. Experience with tools and languages such as C++, Python, OpenGL/Vulkan, and knowledge of rendering algorithms and machine learning frameworks is important. Strong analytical thinking, problem-solving abilities, and effective collaboration set standout professionals apart. These skills ensure accurate, efficient implementation of advanced graphics techniques and successful integration into real-time or offline rendering pipelines.

What are some common challenges faced by professionals working full-time with Gaussian Splatting techniques, and how can they be addressed?

Professionals working full-time with Gaussian Splatting techniques often encounter challenges related to computational efficiency and the integration of these methods into existing rendering pipelines. Managing large datasets while maintaining real-time performance can be demanding, particularly when optimizing for both visual quality and speed. Collaboration with graphics engineers, machine learning specialists, and artists is frequent, as solutions often require a balance between technical innovation and practical usability. Staying current with the latest research and leveraging open-source tools or community forums can help address these challenges effectively.
More about Full Time 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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What job categories do people searching Full Time Gaussian Splatting jobs look for? The top searched job categories for Full Time Gaussian Splatting jobs are:
Staff Software Engineer - Computer Vision

Staff Software Engineer - Computer Vision

Array Labs

Redwood City, CA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 29 days ago


Job description

About Us

Array Labs is building a new way to understand the physical world.

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.

Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

 
About the Job
As a Staff Software Engineer for Computer Vision, you will develop and deploy across all of Array's 3D processing capabilities, including our photogrammetry and radar reconstruction pipelines. The work spans computer vision algorithms and production engineering: you should be equally comfortable reading a paper about unfamiliar algorithms, and shipping new capabilities as production-quality software. The position will work closely with 3D reconstruction scientists, radar algorithms engineers, and product engineers.
Responsibilities
  • Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices.
  • Step into individual pipeline stages - bundle adjustment, dense matching, point cloud generation, geometric refinement, geo-referencing - to improve accuracy, robustness, and throughput.
  • Develop and optimize database schemas and storage solutions for managing large-scale 3D geospatial data.
  • Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver our satellite data to customers.
Basic Qualifications
  • 5+ years of software engineering experience, with a substantial portion focused on computer vision.
  • Strong proficiency in Python and C++, experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes).
  • Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi-view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment).
  • Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.
Preferred Skills & Experience
  • Experience with geospatial concepts, remote sensing data, or robotics/autonomous vehicle sensor data
  • Familiarity with digital signal processing, radar algorithms, or SAR concepts
  • Familiarity with deep learning approaches to 3D vision (e.g. NeRF, 3D Gaussian Splatting, learned feature matching, or depth estimation)
  • Experience with C++ or CUDA for performance optimization
  • Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)
$150,000 - $300,000 a year
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.
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