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Brain Computer Interface Engineer Jobs (NOW HIRING)

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We ... Our team consists of scientists and engineers, working closely together to define the engineering ...

Merge

Scientist - Immunology

San Francisco, CA · On-site

$100 - $125/hr

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 ...

Neurable, INC

Software Developer

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 · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work ...

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

$122K - $226K/yr

Experience building and programming experimental instrumentation * Experience with in-vivo electrophysiology, awake behaving recordings, and in particular, closed-loop brain-computer interface ...

Neurable, INC

Software Developer

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

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work ...

Neara

EE Systems Engineer

Santa Clara, CA · On-site

$150 - $200/hr

EE Systems Engineer Job type: Full Time · Department: Electronics · Work type: On-Site · USD 155 ... brain-computer interface (BCI) to heal and empower millions of people living with neurological ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work ...

Neara

Full-Stack Software Engineer

Santa Clara, CA · On-site

$150 - $200/hr

Precision Neuroscience is building a next‑generation brain-computer interface (BCI) to heal and ... Chicago, Illinois We are seeking an exceptional Full‑Stack Software Engineer to join our mission ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... You will be working alongside our team of developers, but mostly with our CEO, advancing our ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... You will be working alongside our team of developers, but mostly with our CEO, advancing our ...

Paradromics, Inc.

Software Engineer

Oakland, CA · On-site

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... The Role As a Software Engineer at Paradromics, you'll work closely with our team of Scientists and ...

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Brain Computer Interface Engineer information

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$61.5K

$122.2K

$185K

How much do brain computer interface engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for brain computer interface engineer in the United States is $122,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a brain computer interface engineer?

Brain Computer Interface (BCI) Engineers are professionals who design, develop, and optimize systems that facilitate direct communication between the human brain and external devices. They work at the intersection of neuroscience, engineering, and computer science to create technologies that can interpret neural signals and translate them into commands for computers or prosthetic devices. Their work supports applications such as assistive technology for people with disabilities, neuroprosthetics, and advanced human-computer interaction. BCI Engineers often collaborate with neuroscientists, software developers, and hardware designers to build safe, effective, and innovative solutions. The field is rapidly evolving and requires a strong foundation in signal processing, machine learning, and biomedical engineering.

What are the key skills and qualifications needed to thrive as a brain computer interface engineer?

To thrive as a Brain Computer Interface Engineer, you need a strong background in neuroscience, signal processing, programming (such as Python, MATLAB, or C++), and typically a degree in engineering, computer science, or a related field. Familiarity with EEG/MEG systems, brain signal acquisition hardware, and machine learning frameworks is commonly required, along with relevant certifications or research experience. Exceptional problem-solving abilities, creativity, and effective teamwork skills are crucial for advancing novel technologies in interdisciplinary environments. These skills and qualities are vital for developing reliable, user-friendly BCI solutions that bridge neuroscience and technology.

What are some typical challenges a brain computer interface engineer faces when integrating hardware and software components?

Brain Computer Interface (BCI) Engineers often encounter challenges related to signal noise, latency, and ensuring seamless communication between neural sensors and computer systems. Integrating hardware such as EEG or implantable devices with real-time software processing requires precise calibration and robust error handling. Collaborating closely with neuroscientists, clinicians, and software developers is essential to address these technical hurdles and to ensure that the BCI system is both reliable and user-friendly.

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

AspectBrain Computer Interface EngineerNeural Engineer
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Neural Engineering, or related fields
Work EnvironmentResearch labs, tech companies, healthcare institutionsResearch labs, medical device companies, healthcare settings
Industry UsageDeveloping BCI devices, signal processing, hardware/software integrationDesigning neural interfaces, neuroprosthetics, neural signal analysis

While both roles require similar educational backgrounds and work in related environments, Brain Computer Interface Engineers focus on developing and implementing BCI systems, whereas Neural Engineers work on broader neural interface technologies and neuroprosthetics. The roles often overlap but differ in specific project focus and application areas.

What cities are hiring for Brain Computer Interface Engineer jobs?

Cities with the most Brain Computer Interface Engineer job openings:

What states have the most Brain Computer Interface Engineer jobs?

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

What are popular job titles related to Brain Computer Interface Engineer jobs?

For Brain Computer Interface Engineer jobs, the most frequently searched job titles are:

Infographic showing various Brain Computer Interface Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $122,190 per year, or $58.7 per hour.

Neuroengineer, Next Gen

Austin, TX • On-site

Neuralink
Biotechnology Research and Development • 201 - 500 employees
Learn more about Neuralinkexternal

Full-time

Re-posted 18 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 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

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