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Scientific Visualization Jobs in California (NOW HIRING)

Booz Allen Hamilton

Data Visualization Engineer

Monterey, CA · On-site

$126K - $152K/yr

Booz Allen Hamilton is a leading consulting firm that leverages data science to address global challenges. As a Data Visualization Engineer, you will utilize your expertise in data analysis and ...

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Scientific Visualization information

See California salary details

$25.7K

$61.2K

$99.2K

How much do scientific visualization jobs pay per year?

As of Jun 25, 2026, the average yearly pay for scientific visualization in California is $61,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $71,600.00 per year, depending on experience, location, and employer.

What does a scientific visualizer do?

A scientific visualizer creates visual representations of complex data and scientific concepts using tools like 3D modeling, data visualization software, and graphic design. Their work helps communicate research findings clearly and often involves understanding scientific principles and technical skills in software such as MATLAB, Blender, or Tableau.

What are typical projects or tasks a Scientific Visualization professional works on?

Scientific Visualization professionals often work on projects that involve transforming large or complex datasets—such as those from simulations, experiments, or sensors—into interactive graphics, animations, or 3D models that reveal underlying patterns and trends. Day-to-day tasks may include collaborating closely with scientists and engineers to understand their data needs, developing custom visualization scripts, preparing publication-quality images, or building user-friendly visual interfaces for data exploration. Team structures can vary, but it's common to work in multidisciplinary groups where clear communication and iterative development are key. This hands-on, collaborative approach helps ensure that the resulting visuals are both scientifically accurate and accessible to the intended audience.

What are the key skills and qualifications needed to thrive in the Scientific Visualization position, and why are they important?

Excelling in Scientific Visualization requires a solid background in data analysis, computer graphics, and a relevant scientific discipline, often backed by a degree in fields like computer science, physics, or engineering. Familiarity with visualization software (e.g., ParaView, VTK, MATLAB), programming languages (such as Python or C++), and experience with 3D modeling tools are commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex information clearly are invaluable. These combined abilities are crucial for transforming intricate scientific data into visual formats that are both accurate and easily interpretable for various audiences.

Is data visualization a good career?

Scientific visualization is a viable career that involves creating visual representations of complex data to aid understanding and decision-making. It requires skills in programming, data analysis, and visualization tools like Tableau or D3.js, and often offers opportunities in research, technology, and industry sectors. The field is growing as data-driven decision-making becomes increasingly important across various industries.

How much does a data visualizer earn?

A data visualizer's salary typically ranges from $50,000 to $100,000 annually, depending on experience, education, and location. Professionals skilled in tools like Tableau, Power BI, or D3.js and with strong analytical skills tend to earn higher salaries in this field.

What jobs are good for visual thinkers?

Scientific visualization jobs are well-suited for visual thinkers, as they involve creating graphical representations of complex data to aid understanding. These roles often require skills in data analysis, computer graphics, and software tools like MATLAB or Tableau, and may involve collaboration with scientists and researchers. Visual thinkers excel in fields that demand strong spatial reasoning and the ability to communicate information visually.

What is a Scientific Visualization job?

A Scientific Visualization job involves creating graphical representations of complex scientific data to help researchers, scientists, and the public understand patterns, relationships, and trends. Professionals in this field use tools like computer graphics, data analysis software, and programming languages to translate numerical or experimental data into visual formats such as 3D models, animations, or interactive simulations. These visualizations are widely used in fields such as medicine, engineering, climatology, and astrophysics to communicate findings effectively. The role requires a combination of technical skills, domain knowledge, and creativity to present data in an accessible and meaningful way.

What are the most commonly searched types of Scientific Visualization jobs in California? The most popular types of Scientific Visualization jobs in California are:
What are popular job titles related to Scientific Visualization jobs in California? For Scientific Visualization jobs in California, the most frequently searched job titles are:
What job categories do people searching Scientific Visualization jobs in California look for? The top searched job categories for Scientific Visualization jobs in California are:
Scientific Visualization jobs near you
Infographic showing various Scientific Visualization job openings in California as of June 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $61,244 per year, or $29.4 per hour.
Senior Scientific Machine Learning Engineer - Earth-2

Senior Scientific Machine Learning Engineer - Earth-2

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 16 days ago

Job description

NVIDIA's deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world's largest Internet companies. We need passionate and creative people to help us build the AI frameworks underlying the NVIDIA Earth-2 platform: a comprehensive family of open models, libraries, and frameworks that democratize global access to professional-grade weather and climate AI.
What you'll be doing:
  • Work with some of the brightest minds in a premier AI company to develop leading machine learning frameworks, NVIDIA PhysicsNeMo and NVIDIA Earth2Studio, for our academic and industrial partners to build scientific ML technology and workflows for weather, climate, and earth system modeling.
  • Work with internal project teams to validate applications built using the framework on NVIDIA's products, and integrate new functionalities from internal or external projects into the platform
  • Stay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new ideas to develop and enhance NVIDIA's Earth-2 technologies, with a focus on weather & climate AI

What we need to see:
  • BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience
  • 5+ yrs of relevant experience
  • Strong Python programming skills
  • Familiarity with containers, numeric libraries, modular software design
  • Deep knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms (graph networks, diffusion models, reinforcement learning etc.) with experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.)
  • Experience with development and application of machine learning techniques to solve real world scenarios in weather/climate
  • Experience with scientific visualization. Strong analytical skills with bias for action
  • Good time-management and organization skills to thrive in a fast paced, dynamic environment
  • Solid written and oral communications skills. Good teamwork and interpersonal skills

Ways to stand out from the crowd:
  • Experience using multi-node systems with data-parallel and model-parallel programming, performance optimization. Experience with HPC programming models (OpenMPI, NCCL), and/or CUDA or GPU kernel programming
  • Experience with nonlinear simulation tools and techniques, usage of major simulation codes. Published papers in the field of AI in scientific computing, especially in weather & climate applications
  • Familiarity with common tooling in the Earth-2 ecosystem (xarray, zarr, regridding, weather & climate data stores, etc.)

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world.
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 June 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
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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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