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Meshing Jobs in California (NOW HIRING)

... meshing and geometry libraries • Create validation and post-processing tooling that catches bad results early • Optimize code for performance, scalability, and maintainability • Work across ...

Solid geometry processing fundamentals: meshing, boolean operations, voxelization/rasterization, and their numerical pitfalls. * Comfort reasoning about physical validity -- you don't need to be a ...

Solid geometry processing fundamentals: meshing, boolean operations, voxelization/rasterization, and their numerical pitfalls. * Comfort reasoning about physical validity - you don't need to be a ...

Solid geometry processing fundamentals: meshing, boolean operations, voxelization/rasterization, and their numerical pitfalls. * Comfort reasoning about physical validity -- you don't need to be a ...

New

Sound FEA fundamentals: meshing judgment, boundary condition selection, convergence, and the ability to defend a model rather than only to run one. * Demonstrated correlation of simulation against ...

Engineer II

Poway, CA · On-site

$68K - $116K/yr

Plan, manage, and execute aerodynamic analyses using tools that range from handbook methods via inviscid tools all the way to Navier-Stokes CFD and associated meshing tools. * Develop and maintain in ...

Sound FEA fundamentals: meshing judgment, boundary condition selection, convergence, and the ability to defend a model rather than only to run one. * Demonstrated correlation of simulation against ...

Showing results 41-60

Meshing information

What is a meshing?

A Meshing job involves creating a computational grid or mesh used in simulations for engineering and scientific analysis. The mesh divides a complex geometry into smaller elements, allowing numerical methods like Finite Element Analysis (FEA) or Computational Fluid Dynamics (CFD) to solve physical equations accurately. Meshing specialists optimize mesh quality to balance accuracy and computational efficiency. This role is essential in industries such as aerospace, automotive, and biomedical engineering.

What are the typical responsibilities of a meshing specialist on an engineering team?

Meshing specialists are primarily responsible for creating high-quality computational meshes that are used in simulations for engineering analysis, such as stress, fluid dynamics, or thermal studies. Their work involves collaborating closely with design engineers and analysts to ensure that the model accurately represents physical geometries and meets simulation requirements. They must often refine meshes, troubleshoot convergence issues, and validate mesh quality throughout the project lifecycle. In addition to technical tasks, meshing specialists may also provide guidance on best practices and help train junior team members, making them integral contributors to successful simulation projects.

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

To thrive as a Meshing specialist, a strong background in computational modeling, finite element analysis (FEA), and a degree in engineering or a related technical field are generally required. Proficiency with specialized meshing software such as ANSYS, HyperMesh, or SolidWorks, as well as familiarity with CAD tools and simulation certifications, is often essential. Attention to detail, problem-solving skills, and the ability to communicate complex technical information clearly help individuals excel in this role. These skills ensure accurate mesh generation for simulations, leading to reliable engineering analyses and effective collaboration within multidisciplinary teams.

What job categories do people searching Meshing jobs in California look for?

The top searched job categories for Meshing jobs in California are:

Infographic showing various Meshing job openings in California as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 7% Hybrid, and 6% Remote job distribution.

Member of Technical Staff - Thermal Simulation Engineer

Vinci AI

Palo Alto, CA • On-site

$150K - $210K/yr

Full-time

Posted 13 days ago


Job description

About Us
We are building an AI assistant for hardware design. Our product helps engineers explore, analyze, and optimize hardware systems, integrating cutting-edge AI with the realities of engineering design workflows.
Role Summary
Hands-on technical role spanning validation, training data, and customers. Vinci's physics foundation model produces solver-accurate thermal results on full-resolution hardware - real geometry, nanometer-scale features, no simplification - across conduction, convection, and thermoelasticity. You'll prove that case by case: validating new solvers and methods against competitor FEA tools and measured data, generating the reference cases that train the model, running customer test cases end to end, and bringing what you learn back to research and product as feature definition. The ideal candidate has a strong thermal simulation foundation, reasons from first principles, and is comfortable presenting a result to a customer's thermal engineers who will not take your word for it.
What You'll Do
  • Validate new solvers and methods: build test cases that stress steady-state and transient conduction, convection, and thermoelastic stress and warpage, and benchmark them against competitor FEA tools and measured data.
  • Help set the accuracy bar for release, and say so when it isn't met.
  • Generate training data: build and run the reference cases that feed model training - geometry sets, material stacks, boundary conditions, parameter sweeps - and curate the results the model learns from.
  • Serve as the product's heaviest internal user: find the bugs, bad defaults, and workflows that break on a real 2.5D package or a 12-layer board, and file them with a root cause attached rather than a screenshot.
  • Run customer cases end to end: take a customer's native geometry and power maps, produce a result, interpret it, and present it.
  • Support customer onboarding and training, and own the technical questions that follow.
  • Build your own tooling: test harnesses, batch sweeps, regression comparisons, and post-processing, prototyping quickly with AI coding assistants.
  • Turn temperature and displacement fields into plots, side-by-side design comparisons, and decks that hold up in front of a customer's engineering leadership.
  • Bring field observations back to research and product as specific requests: what to build, what the output needs to show, which physics matters to which customer.

Required Qualifications
  • BS or higher in mechanical engineering, electrical engineering, aerospace engineering, or a comparably rigorous technical field.
  • 3+ years in thermal or simulation engineering; graduate research counts.
  • Hands-on thermal or thermo-mechanical CFD/FEA in Ansys Icepak, Flotherm, Fluent, Ansys Mechanical, COMSOL, or equivalent, including a working sense of where each tool's results degrade.
  • Practical meshing knowledge: mesh strategy, element selection, where and how to refine (interfaces, thin layers, boundary layers, high-gradient regions), and how to qualify a mesh through independence studies, convergence behavior, and quality metrics such as aspect ratio and skewness. Our meshing is automated; evaluating what it produces takes the same judgment.
  • Ability to reason from first principles: when a result looks wrong, to determine whether the cause is the physics, the boundary conditions, the geometry, or the software.
  • CAD fluency: opening, navigating, interrogating, and repairing real geometry in mechanical CAD, ECAD, or package layout.
  • Strong communication skills, including the ability to explain a result and its limits to a principal thermal engineer and to a VP in the same meeting, and to build the plots and slides yourself.

Preferred Qualifications
  • Coding experience. Python is what we use, though any real scripting background counts (MATLAB, LabVIEW, C++, OpenFOAM customization). What matters is that you write your own scripts, internal tools, and one-off analysis, including with AI coding assistants.
  • 10+ years of thermal engineering, with shipped hardware behind it.
  • Semiconductor packaging or high power-density electronics: chip-package-board thermal, 2.5D/3D stacks, chiplets, power maps, TIMs, warpage and reliability, cold plates, vapor chambers, liquid cooling.
  • Customer-facing experience in applications, solutions, or field engineering, including demos, trainings, and presentations you delivered yourself.
  • Experience validating or building a solver rather than only running one.
  • Comfort working in Linux: command line, GPU/HPC job submission, version control.

Why Join
  • You'll work on semiconductor and advanced packaging hardware first - AI accelerators, chiplet assemblies, high-power boards - then robotics, electric vehicles, power electronics, aerospace, and defense as those customers come on.
  • You'll work directly with the researchers and GPU kernel engineers building the model, not through a support tier.
  • Customers use these results for production sign-off, so validation calls carry real consequence.

Location
We're in Palo Alto, CA near the Caltrain station, working 2-3 days a week in person. We hire remote for the right person - members of the team already work this way. Travel is occasional.
Reports to the Founding Mechanical Engineer, who reports to the CTO.