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Computational Modeling Simulation Multiphysics Jobs in Fremont, CA

Voltai

Computational Scientist

Palo Alto, CA · On-site

... simulation pipelines that generate training data for neural operator models -- including sampling strategies, mesh handling, and physical consistency checks • Validate everything: analytical ...

Substrate

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows * Develop AI-augmented tools for materials science, device physics, or accelerator ...

Open Orion

CAE Developer

San Francisco, CA · On-site

They are seeking a computational engineering modeler to design and optimize systems using multi-physics simulations and parametric CAD, while also developing automated workflows and algorithms for ...

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 ...

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All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Fremont, CA

Computational Modeling Simulation Multiphysics information

See Fremont, CA salary details

$42.7K

$110.8K

$157.6K

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 Fremont, CA is $110,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $141,800.00 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 cities near Fremont, CA are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Fremont, 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 Fremont, CA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $110,841 per year, or $53.3 per hour.

Manager, Molecular Simulation Engineering

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 28 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 245 rated software companies

Job description

Job Summary:
NVIDIA is a leader in computer graphics and AI technology, seeking a hands-on technical manager for their MD Simulation Engineering team. The role involves leading engineers to develop GPU-native simulation software and collaborating with the scientific community to enhance biological simulations.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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