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Entry Level Brain Computer Interface Jobs (NOW HIRING)

Neuralink

Veterinary Pathologist

Austin, TX · On-site

Join the Preclinical team at Neuralink, where our mission is to generate high-quality safety, biocompatibility, and performance data for cutting-edge brain-computer interface (BCI) technologies ...

Socket.dev

Veterinary Pathologist

Austin, TX · On-site

$111 - $205/hr

Join the Preclinical team at Neuralink, where our mission is to generate high-quality safety, biocompatibility, and performance data for cutting-edge brain-computer interface (BCI) technologies ...

New

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between ...

Neuralink

Veterinary Pathologist

... brain-computer interface (BCI) technologies through rigorous, ethical, and GLP-compliant research studies. The Veterinary Pathologist plays a critical role in this mission by delivering expert ...

New

Merge Labs

Scientist - Protein Engineering

San Francisco, CA · On-site

$120K - $215K/yr

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 ...

Neuralink

Veterinary Pathologist

Austin, TX

Join the Preclinical team at Neuralink, where our mission is to generate high-quality safety, biocompatibility, and performance data for cutting-edge brain-computer interface (BCI) technologies ...

Latent AI

Software Engineer, BCI Applications

Fremont, CA · On-site

$138 - $269/hr

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, and robotic arms with their ...

New

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Entry Level Brain Computer Interface information

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$29.5K

$100.3K

$241.5K

How much do entry level brain computer interface jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level brain computer interface in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What is an entry level brain computer interface?

An entry level brain computer interface (BCI) job typically involves assisting with the development, testing, and implementation of systems that connect the human brain to external devices, such as computers or prosthetics. These roles often require a background in neuroscience, engineering, computer science, or a related field. Responsibilities may include collecting and analyzing brain signal data, supporting software or hardware development, and conducting experiments under supervision. Entry-level employees usually work as part of multidisciplinary teams and receive on-the-job training to build expertise in the field.

What are the key skills and qualifications needed to thrive as an entry level brain computer interface specialist?

To thrive as an Entry Level Brain Computer Interface (BCI) Specialist, you need foundational knowledge in neuroscience, biomedical engineering, or computer science, often supported by a relevant bachelor's degree. Familiarity with signal processing software (such as MATLAB or Python), EEG systems, and data analysis tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and interpret complex data. These skills ensure accurate development, testing, and implementation of BCI systems, which are crucial for advancing this emerging technology.

What are some common challenges faced by entry-level professionals working in brain-computer interface roles?

Entry-level professionals in Brain-Computer Interface roles often encounter challenges such as adapting to the interdisciplinary nature of the field, which blends neuroscience, engineering, and computer science. Newcomers may also need to quickly learn how to work with complex data sets and specialized hardware while keeping up with rapid technological advancements. Additionally, effective collaboration with researchers, clinicians, and software developers is essential for project success, so strong communication skills are important. Overcoming these initial hurdles can lead to meaningful contributions to cutting-edge research and technology development.

What is the difference between Entry Level Brain Computer Interface vs Entry Level Neural Engineer?

AspectEntry Level Brain Computer InterfaceEntry Level Neural Engineer
Required CredentialsBachelor's in neuroscience, engineering, or related field; basic understanding of signal processingBachelor's in biomedical engineering, neuroscience, or related; knowledge of neural systems and data analysis
Work EnvironmentResearch labs, tech companies, healthcare settingsResearch institutions, biotech firms, medical device companies
Industry UsageDeveloping BCI devices, signal acquisition, and processingDesigning neural interfaces, analyzing neural data, device integration

While both roles involve working with neural data and require backgrounds in neuroscience or engineering, Entry Level Brain Computer Interface positions focus on developing and implementing BCI technologies, whereas Entry Level Neural Engineers typically work on designing neural systems and analyzing neural signals. Both roles are essential in advancing neurotechnology and often overlap in skills and work environments.

More about Entry Level Brain Computer Interface jobs

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Cities with the most Entry Level Brain Computer Interface job openings:

What are the most commonly searched types of Brain Computer Interface jobs?

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What states have the most Entry Level Brain Computer Interface jobs?

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Entry Level Brain Computer Interface jobs near you
Infographic showing various Entry Level Brain Computer Interface job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

Neuroengineer Intern

Neuralink

South San Francisco, CA

$35/hr

Internship

Re-posted 6 days ago

Job description

Team Description:

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer Intern on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency. 

Job Description and Responsibilities:

  • Investigate and map neural correlates of sensory and internally-generated states.
  • Build and iterate on advanced machine learning architectures to map neural activity to complex, multi-dimensional outputs.
  • Design, execute, interpret, and communicate the results of experiments, ranging from non-human primate (NHP) electrophysiology to human fMRI studies.
  • Present results in a fast-paced, highly collaborative setting.

Required Qualifications: 

  • Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field
  • 2+ years of academic or industry experience
  • A strong understanding of the scientific method and engineering first principles
  • Fluency with Python for data analysis

Preferred Qualifications: 

  • Experience with modern machine learning, including LLMs, LLM interpretability, and generative models.
  • Expertise in analyzing neural population dynamics and applying manifold analysis techniques to high-dimensional neural data.
  • Strong background in neural decoding, particularly in the domains of movement or speech.
  • Experience with human fMRI experimental design, execution, and fMRI data analysis.
  • Experience with in-vivo electrophysiology, particularly awake-behaving recordings in non-human primates (NHP), and/or closed-loop brain-computer interfaces.

Pay Transparency:

Based on California law, the following details are for California individuals only.

California Hourly Rate: 
$35/Hr USD

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