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Mems Design Engineer Jobs in Berkeley, CA (NOW HIRING)

Generative AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

It unlocks MEMS manufacturing not only for device classes that could never be produced by ... About this role As a Generative AI CAD Engineer, you can shape our CAD/automation workflows by ...

You will work closely with the RF designer team, technology team, and software engineers to apply ... Hands‑on experience with SAW, BAW, XBAR, or MEMS device design or characterization. * Background ...

... MEMS sensor operation and the signal chain requirements for characterizing IMU, pressure and ... how hardware design choices influence system level accuracy Experience developing hardware ...

... MEMS sensor operation and the signal chain requirements for characterizing IMU, pressure and ... how hardware design choices influence system level accuracy Experience developing hardware ...

It promises to unlock MEMS manufacturing for the many device classes frustrated by semiconductor ... In this role, you'll use your technical expertise to capture detailed engineering concepts ...

The team is seeking an exceptional control systems engineer with broad skills to design and develop ... motors, or MEMS devices Experience with test equipment including dynamic signal analyzers ...

It promises to unlock MEMS manufacturing for the many device classes frustrated by semiconductor ... What You'll Do: * Design and build custom electronics for our automated manufacturing systems

Motion Sensing Hardware Engineer

San Francisco, CA · On-site

$145K - $192K/yr

The Motion Sensing Hardware Team at Apple is entrusted with the responsibility of integrating MEMS ... Invention and patent creation are supported, aiming to revolutionize product design and ...

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Mems Design Engineer information

What does a MEMS design engineer do?

A MEMS Design Engineer specializes in designing micro-electromechanical systems (MEMS), which are tiny integrated devices that combine mechanical and electrical components. They work on developing sensors, actuators, and other micro-scale devices used in applications like automotive, healthcare, and consumer electronics. Their responsibilities include modeling, simulation, fabrication process development, and testing MEMS devices to ensure performance and reliability. They often use CAD tools, finite element analysis (FEA), and semiconductor manufacturing techniques to create functional designs.

What are the key skills and qualifications needed to thrive as a MEMS design engineer?

To thrive as a Mems Design Engineer, you need a strong background in microelectromechanical systems (MEMS), physics, materials science, and electrical or mechanical engineering, typically supported by a relevant bachelor's or master's degree. Proficiency with CAD tools, finite element analysis (FEA) software, and MEMS fabrication techniques is essential, alongside familiarity with industry standards and cleanroom protocols. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for successful collaboration across multidisciplinary teams. These skills and qualifications are crucial for designing reliable MEMS devices, ensuring manufacturability, and delivering innovative solutions to complex engineering challenges.

What are some common challenges faced by MEMS design engineers and how can they overcome them?

MEMS Design Engineers often face challenges related to miniaturization, device reliability, and integration with other electronics due to the complex and delicate nature of MEMS technology. Overcoming these issues typically involves rigorous simulation, iterative prototyping, and close collaboration with fabrication and testing teams to catch potential design flaws early. Staying up to date with the latest materials and manufacturing techniques can also help engineers address evolving requirements. Additionally, clear communication with cross-disciplinary colleagues ensures smooth transitions from design to production, increasing the likelihood of project success.

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For Mems Design Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Mems Design Engineer jobs in Berkeley, CA look for?

The top searched job categories for Mems Design Engineer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Mems Design Engineer jobs?

Cities near Berkeley, CA with the most Mems Design Engineer job openings:

Infographic showing various Mems Design Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

Generative AI CAD Engineer

Atomic Machines

Emeryville, CA • On-site

$210K - $260K/yr

Full-time

Re-posted 2 days ago


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 this role
As a Generative AI CAD Engineer, you can shape our CAD/automation workflows by developing generative and programmatic CAD pipelines that transform design specifications into manufacturable micro-device assemblies. You'll collaborate closely with our AI, Modeling & Simulation, and Design engineers to build systems that automatically explore, assemble, and optimize designs from a library of components. You will join a tight cross-functional team dedicated to pushing the limits of computational design.
This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home arrangement when needed.
When referring to the compensation band below, keep in mind that it can vary depending on the candidate's experience and level. This posting is not associated with a specific level, but it spans Junior, Senior, and Staff levels, i.e. L4 to L6. The level will be defined upon application. We actively encourage recent graduates, PhDs, and postdocs to apply. A strong research record can substitute for industry experience, and we will consider strong Junior candidates who are excited to grow into a leadership role.
What You'll Do:
  • Develop GenAI-driven workflows for CAD generation and automated design exploration.
  • Build CAD workflows that programmatically construct, modify, and evaluate 3D assemblies.
  • Create and maintain a library of parametric components for generative design exploration and training.
  • Curate and parse large sets of CAD models with product, manufacturing, and tolerance information into both standardized APIs and batchable datasets for training generative models.

What You'll Need:
Required
  • Knowledge of AI-based CAD generation, generative models for 3D geometry, or generative design algorithms, demonstrated through coursework, research, publications, or substantial projects.
  • Proficiency in interacting with CAD or geometry tooling via APIs (Python, Rust, or other relevant languages).
  • Familiarity with CAD interoperability standards (STEP, IGES, JT, GLTF, or similar).
  • Experience with NURBS and B-Rep.
  • Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Computational Design, Mechanical Engineering, Aerospace Engineering, Applied Math, or a related field. Recent graduates are welcome.

Nice to have
  • Strong background in programmatic CAD workflows or programmatic 3D geometry (e.g., with Onshape API, SolidWorks API, Fusion API, CadQuery, Build123d, FreeCAD, or similar).
  • Experience with CAD manipulation and parametrization, including scripting and automation.
  • Experience with geometric modeling kernels (e.g., OpenCascade, Parasolid).
  • Experience with implicit geometric representations (SDFs, neural fields, occupancy networks).
  • Experience with meshing, especially for simulation or manufacturing purposes.
  • Experience with Model-Based Definitions.
  • Experience with simulation-in-the-loop design, shape optimization, or topology optimization workflows.
  • Contributions to open-source CAD, geometry, or 3D ML libraries.

The compensation for this position also includes equity and benefits.
Salary Range
$210,000-$260,000 USD