1

Internship Brain Computer Interface Jobs (NOW HIRING)

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We ...

Senior Sensors Engineer

Palo Alto, CA · On-site

$75 - $95/hr

The company is focused on advancing noninvasive brain-computer interface (BCI) technology through an EEG-powered wearable platform. Position Summary This person will own the end-to-end non-EEG sensor ...

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

Research Engineer

Oakland, CA · On-site

$120K - $150K/yr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

next page

Showing results 1-20

Internship Brain Computer Interface information

See salary details

$11

$22

$39

How much do internship brain computer interface jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship brain computer interface in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What is an Internship Brain Computer Interface job?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the Internship Brain Computer Interface position, and why are they important?

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

What types of projects or tasks are typically assigned to interns in Brain Computer Interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.

More about Internship Brain Computer Interface jobs
What cities are hiring for Internship Brain Computer Interface jobs? Cities with the most Internship Brain Computer Interface job openings:
What are the most commonly searched types of Brain Computer Interface jobs? The most popular types of Brain Computer Interface jobs are:
What states have the most Internship Brain Computer Interface jobs? States with the most job openings for Internship Brain Computer Interface jobs include:
Infographic showing various Internship Brain Computer Interface job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,621 per year, or $22.9 per hour.
Analog IC Layout Engineer

Analog IC Layout Engineer

Neuralink

Fremont, CA

Other

Re-posted 13 days ago


Job description

Team Description:

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.

Job Description and Responsibilities:

We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As an Analog IC Layout Engineer, your responsibilities will include:

  • Crafting state-of-the-art layouts for mixed-signal and analog circuits
    • Amplifiers
    • Filters
    • Switched capacitor circuits
    • Oscillators
    • Data converters
    • Power management circuits
  • Reviewing layout floorplans and analyzing high-fidelity circuits with circuit engineers
  • Physical verification of custom IC mask layouts (LVS, DRC, ERC)

Required Qualifications:

  • 2+ years of experience in analog and mixed-signal IC layout design
  • 1+ year experience with FinFET technologies
  • Ability to identify the best approach to solving problems

Preferred Qualifications:

  • Programming/scripting knowledge in SKILL, TCL, Shell, C/C++, and/or Python
  • Proven expertise in implementing analog and mixed-signal layout designs, achieving tight matching, low noise, and low power consumption
  • Understanding on failure-prone circuit and layout structures
  • Experience with analog DFM standards
  • Experience with layout P-cell design and implementation
  • Experience with layout automationÂ