Hardware Engineer

Zander Labs builds cutting-edge neuroadaptive technology that redefines how humans interact with machines. We are looking for a Hardware Engineer to help translate our research into applied, high-impact passive brain-computer interface (pBCI) solutions.

The Role:
As Hardware Engineer, you’ll support the development of our innovative pBCI technology. From specifying an analog EEG frontend to testing an embedded system that is processing the acquired data, your generalist approach allows you to support the hardware development process at all stages. You will work in our Berlin office, with on-site presence of 4 days.

What you’ll do:

• Requirements engineering: Put the developments with external parties on a solid foundation by defining, documenting, and managing requirements of components and subsystems

• Prototype testing, verification, and validation: Ensure that the developed devices fulfill the requirements and enable the desired use scenarios through thorough testing

• Industrialization of products: Support taking products to the next level of industrialization by optimizing manufacturability and enabling certifications

• Technology and feasibility studies: Scout and evaluate new technology approaches for optimizing our hardware solutions

• Support client projects: Support client-specific projects with your hardware expertise, and collaborate with our team of processing experts to find optimal system solutions

Who you are:

• You hold a Master’s degree (or comparable) in Electrical Engineering, Biosignal Hardware Engineering, or a related field.

• You bring 3-5 years of industry experience in developing electronic systems — ideally in the field of EEG or biosignal acquisition

• You have proven experience in designing and/or testing analog circuits or embedded systems

• You’re curious, proactive, and able to work with a diverse, international team

• You’re fluent in English; German is a plus

• Experience in mechanical design is a plus

Why Join

Work at the Edge: Redefine how humans and machines interact.

Real Impact: Bring deep tech from lab to market.

Collaborative Culture: Work across disciplines in a fast-evolving space.