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Entry Level Brain Computer Interface Jobs (NOW HIRING)

Neurable, INC

Machine Learning

Cambridge, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand ...

Neuralink

Analog IC Layout Engineer

Fremont, CA

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 ...

Neuralink

Analog IC Layout Engineer

Fremont, CA · On-site

$83K - $139K/yr

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 ...

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

Digital IC Design Engineer Intern

Fremont, CA · On-site

$35/hr

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 ...

Paradromics

Manufacturing Operator

Austin, TX · On-site

$17.25 - $20.75/hr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... The Role The Operator I role is an entry-level manufacturing position responsible for reliably ...

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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 Jul 9, 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 job?

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 some common challenges faced by entry-level professionals working in Brain-Computer Interface (BCI) 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 are the key skills and qualifications needed to thrive as an Entry Level Brain Computer Interface Specialist, and why are they important?

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 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.

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Entry Level Brain Computer Interface jobs near you

Scientist - Translational Immunology

Merge Labs

San Francisco, CA • On-site

$120K - $215K/yr

Full-time

Posted 17 days ago

Job description

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. 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 accessible for anyone to use.
About the team:
Our Bio team designs, builds, and characterizes the biotechnologies that form the foundation of next-generation brain-computer interfaces. We combine molecular engineering, synthetic biology, neuroscience and advanced physical methods such as ultrasound to establish less invasive, high-bandwidth connections with neurons. The Bio team develops our core molecular technologies, validates their performance in vitro and in vivo, and demonstrates their advanced capabilities in animal models. We build custom experimental setups and pipelines and collaborate closely with engineers and data scientists. We work across disciplines to come up with creative ideas and solve some of the most challenging problems in biotechnology.
About the role:
As an Immunologist, you will design, build, and validate biological strategies to establish durable immune tolerance to novel proteins involved in developing less invasive brain-computer interfaces. You will apply your expertise to characterize immune responses and develop strategies that promote immunological tolerance. Your work will establish the immunological foundation for next-generation molecular brain-computer interfaces.
In this role, you will:
  • Characterize the immunogenicity of engineered proteins, establishing quantitative readouts and benchmarks for immune compatibility in relevant in vitro and in vivo experimental models.
  • Scale high-throughput immune characterization assays and workflows to enable rapid hypothesis testing and iteration.
  • Collaborate with our computational and protein engineering teams to design and execute strategies to enhance immunological tolerance to molecular components of next-generation brain-computer interfaces to improve human compatibility.
  • Drive technical ownership of projects from concept to execution, including experimental planning, prioritization, documentation, and clear communication of results.

You might thrive in this role if you have:
  • Have a PhD in Immunology, Bioengineering, or a related field, or have equivalent experience leading research projects end-to-end.
  • Are proficient in designing, executing, and interpreting in vitro and in vivo experiments that interrogate immune responses, with strong experimental rigor and quantitative reasoning.
  • Are comfortable contributing to the design and evaluation of innovative solutions aimed at promoting immune tolerance.
  • Think mechanistically: you are motivated by understanding how things work, not just that they work.
  • Feel joy in collaboration and communicate naturally with experts across disciplines.
  • Are energized by 0->1 innovations and always on the lookout for creative ways to do better.
  • Want to be part of a fast-paced team working on frontier scientific and technical problems.

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team.
For more information about hiring at Merge, please visit our Hiring FAQ
Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status. It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors. We are an equal opportunity employer.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@merge.io.

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