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Brain Computer Interface Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Nanoscientist

Palo Alto, CA · On-site

$110 - $130/hr

About Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is ...

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 ...

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 ...

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 ...

As a Precision employee, you'll join one of the fastest‑moving and best‑capitalized companies in the emerging field of brain-computer interfaces. Since our founding in 2021, we have raised more ...

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 ...

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

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 ...

$100 - $130/hr

... Brain-Computer Interfaces entwickelt. Unser Ziel ist es, Gelähmten Bewegung, Blinden das Sehen und Stummen ihre Stimme zurückzugeben - und das Potenzial des menschlichen Gehirns grundlegend zu ...

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 ...

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How much do brain computer interface jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for brain computer interface in the United States is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $62.50 per hour, depending on experience, location, and employer.

What is a brain computer interface?

A Brain-Computer Interface (BCI) job involves developing systems that enable direct communication between the brain and external devices. Professionals in this field work on hardware and software to interpret neural signals, often for medical, assistive, or neurotechnology applications. Roles can include research, software engineering, signal processing, and machine learning to improve BCIs' accuracy and functionality. These jobs are common in healthcare, neuroscience, gaming, and AI-driven human augmentation industries.

What are the key skills and qualifications needed to thrive in the brain computer interface position?

To thrive in a Brain Computer Interface role, you typically need a strong background in neuroscience, biomedical engineering, or computer science, coupled with experience in signal processing and neural data analysis. Familiarity with tools such as MATLAB, Python, EEG/MEG systems, and relevant certifications in neurotechnology are highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential for working on multidisciplinary teams and translating research into practical applications. These skills ensure that you can design, develop, and refine advanced BCI systems that meet both technical and user needs in this rapidly evolving field.

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

Professionals in Brain Computer Interface roles often face challenges related to accurately interpreting complex neural signals, minimizing noise in data, and ensuring that BCI systems are intuitive for end-users. They frequently collaborate with neuroscientists, engineers, software developers, and clinicians to overcome technical and usability barriers. Balancing research innovation with real-world applicability can be demanding, and staying current with rapidly advancing technology is essential. These challenges make the field dynamic and rewarding for those passionate about shaping the future of human-computer interaction.

What cities are hiring for Brain Computer Interface jobs?

Cities with the most 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 Brain Computer Interface jobs?

States with the most job openings for Brain Computer Interface jobs include:

Infographic showing various 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 $114,265 per year, or $54.9 per hour.

Neuroengineer, Next Gen

Neuralink

South San Francisco, CA • On-site

Full-time

Re-posted yesterday


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 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:

  • Develop computational models of, and design encoding strategies for, electrical stimulation
  • Design, execute, interpret, and communicate the results of neural recording and stimulation experiments
  • Implement end-to-end hardware and software solutions for prosthetic vision, including machine vision algorithms, smart glasses, and eye tracking technology
  • Run and support research sessions in coordination with software engineers, field engineers, and animal specialists
  • Present results in a collaborative setting

Required Qualifications: 

  • Evidence of exceptional ability in neuroscience, biomedical engineering, electrical engineering, machine learning, or a related field
  • 4+ 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 statistical inference and machine learning, including for machine vision applications
  • Experience with neural stimulation
  • Experience modeling the influence of electrical stimulation on neural activity, for example using the NEURON modeling environment
  • Experience modeling electric fields using finite element modeling (FEM)
  • Experience building and programming experimental instrumentation 
  • Experience with in-vivo electrophysiology, awake behaving recordings, and in particular, closed-loop brain-computer interface