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Computational Modeling Simulation Multiphysics Jobs in Oakland, CA

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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 ...

New

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 ...

Apple Inc.

Mechanical Architecture - FEA

San Francisco, CA · On-site

$129.30 - $225.30/hr

  • Medical

  • Dental

  • Retirement

Experience with MEMS (highly preferred), multiphysics, system modeling, multibody dynamics, or ... Experience with simulation automation, surrogate models, or ML-based simulation acceleration.

Menlo Ventures

ML & Molecular Simulation Scientist

San Mateo, CA · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a role for someone who thrives at the intersection of computational science and machine learning: designing and running simulations, building ML models grounded in physical intuition, and ...

New

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 ...

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

Computational Modeling Simulation Multiphysics information

See Oakland, CA salary details

$44.8K

$116.3K

$165.4K

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 Oakland, CA is $116,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $148,700.00 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 Oakland, CA?

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

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

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

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

Cities near Oakland, 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 Oakland, 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 $116,289 per year, or $55.9 per hour.

Founding Simulation Engineer - Godela (San Francisco)

Godela (YC X25)

San Francisco, CA • On-site

$120K - $180K/yr

Full-time

Re-posted 16 days ago

Job description

Overview

Join to apply for the Founding Simulation Engineer – Godela role at Godela (YC X25)

This range is provided by Godela (YC X25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $180,000.00/yr

At Godela, we\'re building the first Physics Foundation Model; a physics-informed AI platform learns from simulation, experiment, and equations to instantly predict and simulate physical behavior. At Godela, our vision is to push the boundaries of scientific discovery and engineering innovation. We’re scaling deep-learning surrogates so every engineer has the power of an R&D lab at their fingertips to turn months of simulation and experimentation into minutes.

What You’ll Do
  • Define the methodology for representing physical systems in data and models—balancing accuracy, scale, and generalization.
  • Own the strategy for validating and verifying our model outputs against ground-truth simulation and experimental data.
  • Generate and curate simulation data across multiple physics domains (CFD, FEA, multiphysics), ensuring high-fidelity coverage of complex behaviors.
  • Build scalable pipelines and standards for turning simulation and experimental data into training-ready datasets.
  • Drive the research and engineering of novel techniques for data augmentation, curation, and generation
  • Collaborate with ML researchers to integrate new architectures, ensuring data and models align with physical truth.
  • Work directly with the founders to set strategy: which physical behaviors to target, how to represent them, and how to scale methods across domains.
What We\'re Looking For
  • Hands-on CAD generation and Simulation Expertise: Deep experience with one or more simulation domains (e.g., CFD, FEM, DEM) and commercial or open-source solvers (e.g., Star-CCM+, Fenics/dolfinx, OpenFOAM).
  • Robust Programming Skills: Strong proficiency in Python is a must. Experience with C++ or other compiled languages for performance-critical tasks is a big plus.
  • Data Pipelining Experience: Proven track record of building and managing data pipelines for large datasets, preferably in a scientific or engineering context.
  • Problem-Solving Mentality: A demonstrated ability to creatively solve complex, unstructured problems.
  • Nice-to-haves: Solver development experience
  • Familiarity with ML frameworks like PyTorch, JAX, or TensorFlow.
  • Experience with parallel and distributed computing for simulation or data processing.
  • Experience with Graph Neural Networks, Physics-Informed Neural Networks, Neural Operators, and Transformer architectures
  • System-Level Thinking: Experience with cloud computing platforms (AWS, GCP, or Azure) and high-performance computing (HPC) environments (Slurm, PBS).
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
  • Industries
  • Research Services

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