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3D Machine Modeling Jobs in California (NOW HIRING)

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

... AI models into tools that are useful and used. You've shipped ML systems end-to-end and at scale ... Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

... AI models into tools that are useful and used. You've shipped ML systems end-to-end and at scale ... Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams

MLOPTIC CORP

Machine Shop Lead

Sunnyvale, CA · On-site

$90K - $120K/yr

Interpret complex engineering drawings, GD&T callouts, and 3D CAD models to ensure accurate part production. * Recruit, train, and mentor machinists and technicians and contribute to a collaborative ...

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Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

Responsibilities : • Research, develop and deploy cutting-edge deep learning models, including ... have experience working 3D/CAD/CAM data for manufacturing applications • Strong software ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

... deploy models using image, time-series, and machine log data from advanced manufacturing systems. Prior experience in additive manufacturing or 3D printing is not required. We are particularly ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

... deploy models using image, time-series, and machine log data from advanced manufacturing systems. Prior experience in additive manufacturing or 3D printing is not required. We are particularly ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$147K - $272K/yr

As part of our machine learning team, you will play a vital role in prototyping foundational ... models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

... deploy models using image, time-series, and machine log data from advanced manufacturing systems. Prior experience in additive manufacturing or 3D printing is not required. We are particularly ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

$187K - $220K/yr

Develop machine learning models to analyze the distribution of computer vision data. Develop data ... 3D reconstruction. Experience in vision data processing tools including scikit-image and OpenCV.

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All Jobs3D Machine Modeling Jobs3D Machine Modeling Jobs in California

3D Machine Modeling information

What is the difference between 3D Machine Modeling vs 3D CAD Designer?

Aspect3D Machine Modeling3D CAD Designer
CredentialsTechnical certifications in CAD and mechanical designCAD software certifications, engineering background
Work EnvironmentManufacturing, engineering firms, product developmentDesign studios, engineering departments, manufacturing
Industry UsageMechanical systems, machinery, industrial equipmentProduct design, architectural components, consumer products

3D Machine Modeling focuses on creating detailed models of machinery and mechanical systems, often for manufacturing or engineering purposes. 3D CAD Designers develop detailed designs for a variety of products and structures. While both roles require CAD skills and technical knowledge, 3D Machine Modeling emphasizes mechanical accuracy and functionality, whereas 3D CAD Design covers a broader range of design applications.

What are the key skills and qualifications needed to thrive as a 3D Machine Modeler, and why are they important?

To thrive as a 3D Machine Modeler, you need strong skills in 3D modeling, mechanical design principles, and a background in engineering or industrial design. Proficiency with CAD software such as SolidWorks, Autodesk Inventor, or Siemens NX, along with relevant certifications, is typically required. Attention to detail, creativity, and effective communication are crucial soft skills for translating concepts into precise models and collaborating with engineering teams. These skills and qualities ensure accurate, manufacturable designs that meet technical specifications and project goals.

What is 3D machine modeling?

3D machine modeling is the process of creating three-dimensional digital representations of machines or mechanical components using specialized computer software. These models help engineers and designers visualize, test, and refine machines before they are physically built. 3D machine modeling is widely used in industries such as manufacturing, automotive, aerospace, and robotics to improve design accuracy and efficiency. The process often involves using CAD (Computer-Aided Design) programs to create detailed, precise models that can be used for simulations, prototyping, and production.

What are some common challenges faced by 3D Machine Modelers when collaborating with engineering teams?

3D Machine Modelers often work closely with engineers to ensure that models accurately reflect technical specifications and functional requirements. A common challenge is translating complex engineering data into visually precise and manufacturable 3D models while keeping up with frequent design changes. Effective communication is essential to resolve discrepancies and maintain alignment on project goals. Additionally, modelers must balance aesthetic considerations with mechanical feasibility, requiring both creative and technical problem-solving skills.
What are popular job titles related to 3D Machine Modeling jobs in California? For 3D Machine Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching 3D Machine Modeling jobs in California look for? The top searched job categories for 3D Machine Modeling jobs in California are:
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3D Machine Modeling jobs near you
Infographic showing various 3D Machine Modeling job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.
Modeling and Simulation Engineer, Structural Mechanics

Modeling and Simulation Engineer, Structural Mechanics

Atomic Machines

Emeryville, CA • On-site

Other

Posted yesterday

Job description

Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital-but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device-made possible only through the Matter Compiler technology platform-that we will be unveiling to the world soon.
 
Our offices are in Emeryville and Santa Clara, California
 
About The Role:

We are seeking a Modeling and Simulation Engineer to join our growing AI and Modeling & Simulation team. The ideal candidate has experience developing and deploying mathematical and numerical models across multiple coupled physics domains. In this role, you will identify the critical attributes of existing manufacturing systems and future machine concepts, then use those insights to build, simulate, and deploy parameterized models that support machine design and optimization.

To succeed in this role, you should have experience with multiscale and multiphysics modeling and be comfortable using simulation tools such as COMSOL, Ansys, or similar platforms. You should also have a strong foundation in structural mechanics and thermal effects. Familiarity with other simulation domains, such as CFD (computational fluid dynamics) and robotic kinematics is a plus.

This is an excellent opportunity for someone with a track record of building high-quality, validated multiphysics models and who is excited to apply those skills to support the development of new classes of devices manufactured at scale on Atomic's platform. The ideal candidate thrives in a collaborative environment and is effective at documenting, communicating, and presenting technical work.

What You'll Do
  • Identify critical system attributes and develop computational models for current and future manufacturing machines, with an emphasis on structural and thermal.
  • Define figures of merit, boundary conditions, and operating conditions based on system requirements and cross-functional input.
  • Build and deploy multiphysics simulations, including thermal and mechanical models, using finite element methods for both steady-state and dynamic analyses.
  • Deliver executable computational models that support sensitivity analysis, design exploration, and optimization.
  • Propose validation experiments and use experimental results to calibrate, validate, and improve models.
  • Document simulation methods, assumptions, and validation results, and communicate findings clearly to the broader team.
  • Collaborate cross-functionally with prototype engineers, designers, and AI engineers.
What You'll Need:
  • 4+ years of hands-on experience in multiphysics modeling and simulation following completion of a bachelor's degree (or recent PhD).
  • Strong foundation in multiphysics simulation, with particular depth in structural mechanics (including the dynamics) and thermal analysis (e.g., thermoelasticity).
  • Programming experience, especially in Python, and experience automating simulation workflows for design and optimization.
  • Experience with COMSOL and/or Ansys; experience with Abaqus, Siemens tools, or related software is a plus.
  • Strong written and verbal communication skills, with the ability to work independently and collaboratively.
  • Resourceful, flexible, and adaptable approach to technical work.
  • Bachelor's, master's, or PhD in engineering, physics, or a related field.
Bonus points for:
  • Experience with other modeling domains such as CFD and robotic kinematics
  • Experience with thermal and mechanical contact modeling for industry applications.
  • Experience with CAD tools such as Onshape, Fusion 360, SolidWorks, NX, or similar.
  • Experience with data analysis and visualization tools such as JMP, MATLAB, pandas, or matplotlib.
  • Industry experience with product development processes such as Agile or similar frameworks.

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