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Computational Modeling Simulation Multiphysics Jobs in Menlo Park, CA

Solidigm

3D NAND TCAD Modeling Engineer

San Jose, CA · On-site

$159K - $255K/yr

Develops and codes various software programs, algorithms, and computational modeling tools * Develops methods, processes, and systems for predictive TCAD simulations across NAND technology nodes to ...

Solidigm

3D NAND TCAD Modeling Engineer

San Jose, CA · On-site

$159K - $255K/yr

Develops and codes various software programs, algorithms, and computational modeling tools * Develops methods, processes, and systems for predictive TCAD simulations across NAND technology nodes to ...

Solidigm

3D NAND TCAD Modeling Engineer

San Jose, CA · On-site

Develops and codes various software programs, algorithms, and computational modeling tools * Develops methods, processes, and systems for predictive TCAD simulations across NAND technology nodes to ...

1X Technologies AS

Simulation Engineer

San Carlos, CA · On-site

$119K - $203K/yr

We develop the models and tools that allow teams to predict performance, understand failure modes ... or multiphysics simulation * Proficiency with industry-standard simulation tools such as ANSYS ...

LLNL

Mechanical - Structural Analyst

Livermore, CA · On-site

In this role, you will perform computational modeling and simulation using advanced, nonlinear finite element analysis codes developed at LLNL to evaluate structural and material responses to ...

LLNL

Mechanical - Structural Analyst

Livermore, CA · On-site

$9.7K/wk

In this role, you will perform computational modeling and simulation using advanced, nonlinear finite element analysis codes developed at LLNL to evaluate structural and material responses to ...

LLNL

Mechanical - Structural Analyst

Livermore, CA · On-site

In this role, you will perform computational modeling and simulation using advanced, nonlinear finite element analysis codes developed at LLNL to evaluate structural and material responses to ...

Stand

Simulation Platform Engineer

San Francisco, CA · On-site

$180 - $210/hr

We model what others approximate. And we build systems that change outcomes, not just prices ... Experience supporting physics‑based or simulation‑heavy workflows (e.g., CFD, multiphysics, or ...

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All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Menlo Park, CA

Computational Modeling Simulation Multiphysics information

See Menlo Park, CA salary details

$46K

$119.3K

$169.7K

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 Menlo Park, CA is $119,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $152,600.00 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 Menlo Park, CA are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Menlo Park, 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 Menlo Park, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $119,325 per year, or $57.4 per hour.

Senior Software Engineer - NVIDIA Warp

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 23 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

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 Warp brings Python productivity to high-performance simulation, scientific computing, and differentiable programming on CPUs and NVIDIA GPUs. Our team develops Warp for computational physics, AI, and optimization workflows. We are looking for a hands-on senior engineer to expand Warp's adoption across science and engineering.
Our goal is to make Warp a foundation for products and tools inside and outside NVIDIA. If you enjoy shaping the future of accelerated computing while making it easier to use, we would love to meet you.
What you'll be doing:
  • Own and improve the end-to-end technical path for adopting Warp in computational applications, from native C++ and CUDA changes through production integration, validation, and long-term compatibility.
  • Turn new CUDA features and programming models into supported Warp functionality that improves performance and portability across successive generations of NVIDIA accelerated-computing platforms and opens new application domains.
  • Partner with internal engineering teams, including those behind ALCHEMI, BioNeMo, PhysicsNeMo, and Kit-CAE, to integrate Warp into their software, resolve technical barriers, and support production adoption.
  • Select and integrate CUDA-X libraries and other computing technologies when they address recurring technical gaps, exposing them through consistent Python and native APIs.
  • Design and implement Warp improvements that expand what researchers and developers can accomplish, including new APIs, programming abstractions, and reusable building blocks for simulation, optimization, and AI workloads.

What we need to see:
  • A BS, MS, or PhD in Computational Science and Engineering, Computational Physics, Electrical Engineering, Computer Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science with a focus on scientific computing, or a related computational engineering field, or equivalent experience.
  • 8+ years of relevant software development experience in industry, academic research, or a combination of both.
  • Significant professional or academic research experience building, debugging, profiling, and optimizing performance-critical CUDA C++ software for NVIDIA GPUs, including diagnosing performance and correctness issues involving parallel execution, GPU architecture, and memory behavior.
  • Substantial work building, optimizing, and supporting computational software used in research or production, involving numerical methods, model validation, or scientific data pipelines.

Ways to stand out from the crowd:
  • Ownership of framework integrations from prototype through production across multiple software projects.
  • Hands-on experience designing and optimizing software for systems that combine CPUs, GPUs, memory, and high-speed interconnects, including data placement, communication, and architecture-aware performance tuning.
  • Experience defining and evolving Python GPU programming systems across user-facing programming models, compilers, runtimes, and kernel libraries.
  • Experience shipping and maintaining production-quality open-source software, including testing, CI/CD, packaging, compatibility, and release practices within a large distributed team.
  • Hands-on experience developing, extending, or integrating commercial or open-source simulation software for multiphysics, CFD, semiconductor process or device simulation (TCAD), molecular dynamics, or related computational workloads. Examples include Ansys Fluent, Siemens Simcenter STAR-CCM+, COMSOL Multiphysics, OpenFOAM, LAMMPS, and GROMACS.

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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 17, 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.

What Nvidia employees say

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Hours and flexibility

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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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