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Gaussian Jobs (NOW HIRING)

Avala

3D Computer Vision Engineer

San Francisco, CA · On-site

$130K - $190K/yr

Develop cutting-edge solutions using NeRFs, Diffusion Models, Gaussian Splatting, Multiview Stereo, TSDF Fusion, Structure from Motion, and SLAM. * Mission-Critical Perception: Create robust 3D ...

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Work on 3D reconstruction (photogrammetry, Gaussian splatting) and explore applications in AR/VR and autonomy * Write Python tooling to convert annotation formats, validate label integrity, and ...

World Labs

Pipeline Engineer (Graphics/3D)

San Francisco, CA · Remote

$164K - $203K/yr

Role Overview We are building a production-grade web application for 3D Gaussian Splat scene generation, editing, and publishing , and we're looking for a Pipeline Engineer to help integrate cutting ...

Neurophos Inc

Director of Optics

San Jose, CA · On-site

$325K - $400K/yr

Supervise the modeling and simulation of coherent beam propagation using Gaussian beam optics, physical optics, and generalized beam matrix methods. * Production & Scalability: Drive the transition ...

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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 Jun 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 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.

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 are Gaussian jobs?

Gaussian jobs refer to computational tasks performed using Gaussian, a widely-used software suite for electronic structure modeling. Scientists and researchers use Gaussian to predict the energies, molecular structures, and properties of molecules and reactions. These jobs involve running calculations that simulate chemical phenomena, often requiring input files that describe the system and the type of computation. Gaussian is essential in computational chemistry, drug design, and materials science for its ability to model complex molecular systems.
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Gaussian jobs near you
Senior System Software Engineer - Neural Graphics SDKs

Senior System Software Engineer - Neural Graphics SDKs

Nvidia

Santa Clara, CA • On-site

$164K - $203K/yr

Full-time

Posted 28 days ago

Key responsibilities

  • Implement, validate, release, and maintain SDKs, APIs, and libraries for Neural Reconstruction, including open source projects like GSplat.

  • Influence software architecture, validation strategy, and technical roadmaps to ensure usability for developers across various fields.

Job description

NVIDIA is a world-leader in Gaussian Splatting and Neural reconstruction. Our team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed-loop validation and closed-loop training grounded in real-world scenarios.

Do you obsess about software engineering? So do we! We are looking for a strong System Engineer to develop and maintain NVIDIA's software ecosystem for neural graphics, including key OSS platforms like GSplat. Your software will serve a booming community of developers eager to bridge the gap between the real world and simulations. Join our amazing team and help us build the future of Physical AI!

What you'll be doing:

  • Implement, validate, release and maintain SDKs, APIs, libraries for Neural Reconstruction, including key Open Source projects like GSplat.

  • Influence software architecture, validation strategy and technical roadmaps to ensure outstanding usability for our developers across many fields, from research to large-scale production use.

What we need to see:

  • Master's of Science in Computer Science or Electrical engineering or equivalent experience.

  • 5+ years of practical experience.

  • Track record developing and maintaining developer-focused, production-grade software for computer graphics or computer vision (for instance game engines, rendering software).

  • Proficiency with Python and C++.

  • Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).

  • Experience developing high-performance distributed systems (micro-services, Kubernetes).

  • Excellent written, visual, and verbal communication to present architectural challenges, tradeoffs, and alternatives.

  • Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd:

  • Strong fundamentals in real-time graphics or other performance-critical domains.

  • Experience in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low-latency, high-throughput applications.

  • Algorithmic expertise in neural reconstruction (NERFs, Gaussian Splats).

  • History of multidisciplinary creativity and innovation around software engineering in multiple problem domains.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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