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Gaussian Jobs (NOW HIRING)

Nvidia

OR · On-site

Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented, optimized, and rendered. These workloads push the limits of GPU computing, differentiable rendering ...

Nvidia

Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented, optimized, and rendered. These workloads push the limits of GPU computing, differentiable rendering ...

Parallel Domain

Principal Technical Artist

Seattle, WA · On-site +1

$144K - $173K/yr

Gaussian splat scene reconstruction, neural rendering, AI-assisted content workflows, and modern procedural systems are reshaping what a tech artist's day looks like. We're hiring a Principal ...

Parallel Domain

Principal Technical Artist

Seattle, WA · Remote

$130K - $155K/yr

Gaussian splat scene reconstruction, neural rendering, AI-assisted content workflows, and modern procedural systems are reshaping what a tech artist's day looks like. We're hiring a Principal ...

Parallel Domain

Principal Technical Artist

Seattle, WA · On-site

$144K - $173K/yr

Gaussian splat scene reconstruction, neural rendering, AI-assisted content workflows, and modern procedural systems are reshaping what a tech artist's day looks like. We're hiring a Principal ...

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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

Simulation Engineer

Humble Robotics

San Francisco, CA

Full-time

Posted 11 days ago

Job description

About Humble Robotics 

Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network.

We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure.

Progress has never felt so present.

Position Overview

Open to a range of experience levels

We’re looking for a software engineer to join our simulation team. You’ll build the systems and tools that support closed-loop model testing, synthetic data generation, and sensor simulation. This work will work heavily with modern neural rendering approaches: 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
  • Build and maintain Python pipelines and tooling for closed-loop testing and synthetic data generation
  • Integrate modern neural rendering techniques into our sensor simulation stack (e.g., Gaussian splatting, NeRFs, world models)
  • Expand and maintain the scenario library and benchmark suite used to evaluate perception, planning, and control
  • Develop synthetic data generation workflows, including scenario and agent behavior generation, to support model training
  • Work closely with ML and autonomy engineers to measure and reduce sim-to-real gaps, ensuring simulation reflects real-world behavior
Minimum Qualifications
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience
  • Strong proficiency in Python (primary language of the simulation stack)
  • Experience working with simulation systems, ideally in robotics, autonomous vehicles, or other high-fidelity domains
  • Eligible to work in the United States
Preferred Qualifications
  • Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods)
  • Depth in one or more areas of simulation: closed-loop testing, scenario design, log replay, or sensor simulation
  • Experience building benchmarks or evaluation frameworks used across a team
  • Experience developing synthetic data pipelines that improved downstream model performance
  • Familiarity with real-time robotic systems and their constraints on simulation fidelity
  • Comfortable working on a small team with high ownership and fast iteration cycles
Compensation
This role is eligible for base salary \+ benefits \+ equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.
Additional Information

As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **legal@humblerobotics.ai** to exercise this right or if you have further questions on the use of AI tools in our hiring process.

Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.