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Computational Modeling Simulation Multiphysics Jobs in Santa Clara, CA

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

Design simulation pipelines that generate training data for neural operator models - including ... PhD in computational physics, applied mathematics, computational engineering, or a closely related ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

Design simulation pipelines that generate training data for neural operator models -- including ... PhD in computational physics, applied mathematics, computational engineering, or a closely related ...

Mainspring Energy

Staff CFD Modeling Engineer

Menlo Park, CA · On-site +1

$160K - $190K/yr

Extract fluid volumes suitable for computational analysis. Generate, refine, and debug the mesh to achieve a stable and accurate simulation * Select appropriate boundary conditions and domain models ...

Socket.dev

Staff CFD Modeling Engineer

Menlo Park, CA · On-site

$150 - $230/hr

Extract fluid volumes suitable for computational analysis. Generate, refine, and debug the mesh to achieve a stable and accurate simulation * Select appropriate boundary conditions and domain models ...

New

Ring Inc

Staff CFD Modeling Engineer

Menlo Park, CA · On-site

$160 - $190/hr

Extract fluid volumes suitable for computational analysis. Generate, refine, and debug the mesh to achieve a stable and accurate simulation * Select appropriate boundary conditions and domain models ...

New

Apple

Image Scientist - Camera Simulation

Cupertino, CA

$184K - $324K/yr

The Camera Modeling and Simulation team, a part of the Camera Hardware and Depth Team, develops ... Published research in imaging, computational photography, or computer vision. Experience with ...

Apple

Image Scientist - Camera Simulation

Cupertino, CA · On-site

... models of camera systems-from sensor to lens-to simulate real-world imaging performance. Minimum ... Optics: imaging system design, Computer Vision, computational imaging, or similar. Experience with ...

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Computational Modeling Simulation Multiphysics information

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$45.8K

$118.9K

$169.1K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computational modeling simulation multiphysics in Santa Clara, CA is $118,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $152,100.00 per year, depending on experience, location, and employer.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are common challenges faced by professionals in computational modeling simulation multiphysics, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

What are the key skills and qualifications needed to thrive as a computational modeling simulation multiphysics engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are popular job titles related to Computational Modeling Simulation Multiphysics jobs in Santa Clara, CA?

For Computational Modeling Simulation Multiphysics jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Santa Clara, CA look for?

The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Santa Clara, CA with the most Computational Modeling Simulation Multiphysics job openings:

Computational Modeling Simulation Multiphysics jobs near you
Infographic showing various Computational Modeling Simulation Multiphysics job openings in Santa Clara, CA as of June 2026, with employment types broken down into 100% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,918 per year, or $57.2 per hour.

Manager, Molecular Simulation Engineering

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 5 hours ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA BioNeMo is building the computational foundation for the next generation of biological discovery. We are looking for a hands-on technical manager to lead our MD Simulation Engineering team - a focused group whose mission is to enable biological simulation engines at scale.
You will lead a team of engineers building the GPU-native simulation software the scientific community depends on. This role combines player and mentor responsibilities. You will maintain technical credibility throughout the group's efforts and guide architectural decisions. You also be responsible for the roadmap, coordinate dependencies with NVIDIA and external partners, and support team growth.
What You'll Be Doing:
  • Lead, hire, and develop software engineers within a collaborative unit; build a culture of ownership, engineering excellence, and direct collaboration with researchers and authorities in the field.
  • Define vision, strategy, and roadmap for the division's GPU-accelerated simulation software.
  • Own end-to-end delivery across multiple workstreams; align partners, lead cross-team dependencies, and drive predictable execution.
  • Partner with Applied Science teams to translate research prototypes into production-quality, benchmarked software.
  • Build and maintain relationships with the community dedicated to molecular dynamics' modeling to ensure the team is delivering what the community needs.
  • Drive engineering completion: code quality, CI/CD, multi-SKU validation, and documentation standards.
  • Communicate progress, risks, and decisions clearly.

What We Need to See:
  • 8+ overall years of software engineering experience, including 3+ years being responsible for an engineering team with direct reports.
  • Strong technical foundation in GPU computing and high-performance scientific software; ability to review builds, influence architectural directions, and maintain a high engineering standard across the team's work.
  • Experience shipping production GPU libraries, scientific computing software, or developer-facing APIs - you understand what it takes to go from prototype to a product that external developers depend on.
  • Familiarity with molecular dynamics simulation concepts (force fields, electrostatics, neighbor lists, periodic boundary conditions) sufficient to engage credibly with both colleagues and the MD simulator community.
  • Proven record to lead multi-functional dependencies, work across interpersonal boundaries without direct authority, and communicate technical progress clearly to senior leadership.
  • BS/MS in Computer Science, Computational Science, Physics, Chemistry, or a related field, or equivalent experience.

Ways to Stand Out from the Crowd:
  • You have shipped a GPU-accelerated scientific computing library or supplied to a major open-source MD simulation engine.
  • PhD-level education or comparable experience in computational chemistry, biophysics, applied mathematics, or computer science with a focus on HPC or scientific computing.
  • Experience with GPU compiler toolchains or kernel delivery mechanisms.
  • You have worked across the boundary between applied science and engineering - taking algorithmic research and turning it into a shipped, benchmarked product.
  • Active engagement in the MD simulation or computational chemistry community through publications, conference talks, or open-source contributions.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 26, 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.

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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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