ZipRecruiter

Log In

1

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 ...

next page

Showing results 1-20

People also search for

All JobsGaussian Jobs

Gaussian information

See salary details

$37.5K

$122.7K

$196.5K

How much do gaussian jobs pay per year?

As of Jun 4, 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 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.

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:
What job categories do people searching Gaussian jobs look for? The top searched job categories for Gaussian jobs are:
Gaussian jobs near you
Infographic showing various Gaussian job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 39% Full Time, 57% Part Time, and 1% Contract. Highlights an 39% Physical, and 61% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Autonomy Software Engineer - Mapping and Localization

Noble Machines, Inc

Sunnyvale, CA • On-site

Other

Posted 3 days ago

Job description

About Noble Machines

Noble Machines (formerly Under Control Robotics) builds multipurpose robots to support human workers in the world's toughest jobs-turning dangerous work from a necessity into a choice. Our work demands reliability, robustness, and readiness for the unexpected-on time, every time. We're assembling a mission-driven team focused on delivering real impact in heavy industry, from construction and mining to energy. If you're driven to build rugged, reliable products that solve real-world problems, we'd love to talk.

Position Overview

At Noble Machines, building robots is a team sport. As a Robotics Autonomy Engineer, you'll take ownership and lead the development of autonomy systems that power our multipurpose robots across diverse and unstructured environments. You'll design, implement, and optimize cutting-edge localization, mapping, navigation, and SLAM systems-including advanced techniques such as 3D Gaussian Splatting, NeRFs, and other neural or volumetric methods-that enable our robots to perceive, understand, and act in the real world with confidence.

Responsibilities
  • Develop and maintain real-time mapping, localization, and navigation software for mobility robotic systems
  • Build scalable SLAM pipelines using a mix of sensors, including LiDAR, vision, and IMU
  • Implement 3D scene representations using cutting-edge techniques such as 3D Gaussian Splatting, NeRFs, and other neural or volumetric methods
  • Integrate localization and mapping modules with motion planning and control systems
  • Deploy robust autonomy stacks to on-board compute platforms and validate them in both simulation and real-world testing
  • Analyze and tune performance of perception and SLAM systems in challenging environments
  • Collaborate with mechanical, electrical, and software engineers to develop co-designed autonomy solutions
  • Write clean, modular, production-quality code with thorough documentation and testing
  • Operate and support robots during field testing and customer deployment
Requirements
  • 4+ years of experience working in robotics, autonomy, or a closely related field
  • Strong foundation in SLAM, probabilistic localization, 3D reconstruction, and navigation algorithms
  • Deep experience with C++ and Python, especially in real-time robotics or embedded systems
  • Experience building and deploying autonomy stacks using frameworks such as ROS or ROS2
  • Proven ability to develop algorithms for sensor fusion and state estimation (e.g., EKF, UKF, particle filters)
  • Hands-on experience with real robot systems-ground, legged, or aerial platforms
  • Familiarity with 3D mapping techniques including voxel grids, mesh reconstruction, and Gaussian Splatting
  • Demonstrated rapid growth and technical ownership on complex autonomy projects
  • Ability to prioritize and execute tasks in a fast-paced, dynamic environment
  • Excellent communication and collaboration skills across disciplines
Nice to Have
  • Experience with GPU-accelerated vision or perception pipelines (CUDA, TensorRT)
  • Exposure to deep learning-based SLAM, view synthesis, or scene understanding techniques
  • Experience with multirobot SLAM, loop closure, or graph optimization frameworks
  • Contributions to open-source robotics or perception libraries
  • Comfort debugging hardware/software integration in field settings
  • Experience with autonomy in unstructured or GPS-denied environments
  • Strong understanding of simulation frameworks (e.g., Gazebo, Isaac Sim, Unity Robotics)

To apply, submit your resume here or email people@noblemachines.ai . To increase your chances of being selected for an interview, we encourage you to include a public portfolio of your most representative work featuring your individual contributions and public demonstrations of autonomy or SLAM systems.

Apply