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Gaussian Jobs in California (NOW HIRING)

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

... Gaussian splatting, differentiable rendering) or generative AI for 3D content • Experience with PyTorch and real-time rendering engines • Familiarity with graphics APIs (Vulkan, OpenGL, DirectX ...

Contribute to data-driven and geometric modeling of eye imaging including NERF and Gaussian splatting for novel view synthesis, 3D graphical rendering of eye features, and classical feature and ...

Contribute to data-driven and geometric modeling of eye imaging including NERF and Gaussian splatting for novel view synthesis, 3D graphical rendering of eye features, and classical feature and ...

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 ...

Showing results 21-40

Gaussian information

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 the most commonly searched types of Gaussian jobs in California? The most popular types of Gaussian jobs in California are:
What cities in California are hiring for Gaussian jobs? Cities in California with the most Gaussian job openings:
Infographic showing various Gaussian job openings in California as of August 2026, with employment types broken down into 58% Full Time, 41% Part Time, and 1% Contract. Highlights an 44% Physical, 1% Hybrid, and 55% Remote job distribution.

Senior System Software Engineer - Neural Graphics Performance

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 13 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 243 rated software companies


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.
Love GSplat? So do we! We are looking for a graphics performance engineer to push Gsplat and other accelerated libraries to speed of light, achieving full system utilization and occupancy and enabling our latest hardware capabilities. Your software will run on incredible amounts of data 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 highly-optimized reconstruction and rendering algorithms using CUDA and Slang.
  • Optimize data processing pipelines for low latency and maximum throughput.
  • Influence software architecture, validation strategy and technical roadmaps to ensure outstanding performance.

What we need to see:
  • Master's of Science in Computer Science or Electrical engineering (or equivalent experience).
  • 3 years of practical experience.
  • Strong fundamentals in real-time computer graphics. Expertise in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low-latency, high-throughput applications.
  • Expertise defining and driving performance metrics through profiling and benchmarking.
  • Proficiency with Python and C++.
  • Track record releasing production-grade software. Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
  • Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.
  • Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd:
  • Contributions to 3D game engines, graphics or computer vision SDKs.
  • Algorithmic expertise in neural reconstruction (NERFs, Gaussian Splats).
  • Experience developing high-performance distributed systems.
  • Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis.
  • History of multidisciplinary creativity and innovation around performance 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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