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Gaussian Jobs (NOW HIRING)

Simulation Engineer

San Francisco, CA · On-site

$100 - $140/hr

Gaussian splatting, world models, and learned sensor models. We're a small team early in the build. You'll have real influence over both what we build and how we build it. Key Responsibilities

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Gaussian information

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$37.5K

$122.7K

$196.5K

How much do gaussian jobs pay per year?

As of Aug 30, 2026, the average yearly pay for gaussian 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 job?

A Gaussian job refers to a computational task performed using the Gaussian software, which is widely used for quantum chemistry calculations. It involves preparing an input file that specifies molecular structures, computational methods, and basis sets. The software then calculates electronic structure properties, optimizing geometries, and predicting spectroscopic and thermodynamic properties. Researchers and chemists use Gaussian for simulations in fields like materials science, drug discovery, and theoretical chemistry.

What types of projects do professionals working with Gaussian software typically collaborate on, and how is teamwork structured?

Professionals using Gaussian software, such as computational chemists and researchers, often collaborate on research projects involving molecular modeling, drug design, or materials science. Teamwork is typically interdisciplinary, bringing together chemists, physicists, and computer scientists to analyze and interpret complex data. Collaboration often involves sharing computational results, troubleshooting simulations, and jointly developing new methodologies. Communication is key, and teams may use version control systems and regular meetings to ensure project alignment and progress.

What is the difference between Gaussian vs Chemist?

AspectGaussianChemist
Required CredentialsTypically a degree in chemistry, chemical engineering, or related field; familiarity with computational chemistry softwareDegree in chemistry or related field; may include certifications in laboratory techniques
Work EnvironmentResearch labs, computational centers, pharmaceutical or chemical industriesLaboratories, research institutions, manufacturing plants
Industry UsageUsed for quantum chemical calculations, molecular modeling, and simulationsInvolved in experimental research, synthesis, and analysis

Gaussian is a software tool used primarily for computational chemistry and molecular modeling, while a Chemist is a professional who conducts experiments and research in chemistry. Both roles often require similar educational backgrounds, but Gaussian focuses on software-based analysis, whereas Chemists work hands-on in labs. Understanding these differences helps clarify career paths and job expectations in the chemistry industry.

More about Gaussian jobs

What cities are hiring for Gaussian jobs?

Cities with the most Gaussian job openings:

What are the most commonly searched types of Gaussian jobs?

The most popular types of Gaussian jobs are:

What states have the most Gaussian jobs?

States with the most job openings for Gaussian jobs include:

Infographic showing various Gaussian job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Video Algorithms Intern: 3D Gaussian Splatting & Compression

Los Gatos, CA • On-site

$19.50 - $25.50/hr

Internship

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Netflix in Los Gatos, California is seeking a Video Algorithms Intern for Fall 2026 to work on Video Coding with Gaussian Splatting and related 3D streaming challenges. This role blends research and practical implementation to advance cutting-edge compression techniques and perceptual quality assessment. Focus areas include CUDA kernel optimization, neural video compression, and PyTorch tooling for Gaussian Splatting.