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Full Time Brain Computer Interface Jobs (NOW HIRING)

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 ... Potential for full-time conversion after graduation

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 ...

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 ...

Neuralink

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 ... Base Salary Range: $122,000-$226,000 USD What We Offer: Full-time employees are eligible for the ...

Neuralink

Analog IC Layout Engineer

Fremont, CA · On-site

$83K - $139K/yr

... brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push ... Base Salary Range: $83,000-$139,000 USD What We Offer: Full-time employees are eligible for the ...

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 ... California Hourly Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the ...

Neuralink

Digital IC Design Engineer Intern

Fremont, CA · On-site

$35/hr

... brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push ... California Hourly Flat Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the ...

Paradromics, Inc.

Research Engineer

Oakland, CA · On-site

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 ...

Paradromics

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 ...

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How much do full time brain computer interface jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for full time 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 Full Time Brain Computer Interface professional?

A Full Time Brain Computer Interface (BCI) professional is someone who works exclusively on developing, researching, or implementing technology that enables direct communication between the human brain and external devices. These professionals may come from backgrounds in neuroscience, engineering, computer science, or biomedical fields. Their daily tasks often include designing BCI hardware or software, analyzing brain signals, and collaborating with interdisciplinary teams to improve BCI applications for healthcare, communication, or human augmentation. Full time roles can be found in research institutions, tech companies, and healthcare organizations, focusing on both experimental and real-world BCI solutions.

What are the key skills and qualifications needed to thrive as a Brain Computer Interface (BCI) Engineer, and why are they important?

To thrive as a Brain Computer Interface Engineer, you need a strong background in neuroscience, biomedical engineering, or computer science, often supported by advanced degrees and relevant research experience. Familiarity with signal processing tools (such as MATLAB or Python), machine learning frameworks, and specialized hardware like EEG, ECoG, or implantable devices is typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help candidates stand out in this interdisciplinary field. These competencies are crucial to innovating and safely developing technologies that connect neural activity with external devices, advancing both research and clinical applications.

What are some common challenges faced by professionals working in Full Time Brain-Computer Interface (BCI) roles, and how can applicants prepare for them?

Professionals in Full Time Brain-Computer Interface roles often encounter challenges such as integrating hardware and software components, ensuring data accuracy, and navigating interdisciplinary collaboration between neuroscientists, engineers, and clinicians. Adapting to rapidly evolving BCI technologies and regulatory standards can also present difficulties. Applicants can prepare by strengthening their technical foundation in neuroscience and engineering, actively seeking out collaborative projects, and staying updated on the latest industry advancements and compliance requirements.
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Full Time Brain Computer Interface jobs near you

Senior Hardware Engineer

Echo Neurotechnologies

San Francisco, CA • On-site

$155K - $195K/yr

Full-time

Retirement

Re-posted 7 days ago

Job description

Company Overview
Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.
Team Culture
Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.
Summary
Echo Neurotechnologies is developing novel Brain Computer Interface (BCI) products to restore autonomy to people living with disabilities and to improve quality of life. We are seeking a Sr. Hardware Engineer with a strong background in Mechanical Engineering to verify the Echo hardware system. The candidate will be responsible for evaluating custom Echo hardware devices and subsystems. The candidate will also drive development and implementation of custom test systems for design verification testing.
Primary Role and Responsibilities
  • Design and prototyping of mechanical components and assemblies including rapid prototyping, machining, injection molding
  • Develop component and assembly drawings including tolerance stack-ups and analyses
  • Work with manufacturing to realize production units
  • Develop test protocols, implement design verification testing, oversee testing with vendors
  • Develop and execute design verification activities
Qualifications
  • Bachelor's degree in Mechanical Engineering, or related field
  • Minimum 7 years of industry experience in engineering electro-mechanical hardware devices
  • Experience with hands-on machining or rapid prototyping
  • Experience analyzing data from physical systems
  • Experience working within a quality system
Other Qualifications
  • Master's degree in Mechanical Engineering, or a related field
  • Strong collaboration mindset
  • Superior written and verbal communication skills
  • Exceptional organizational skills and attention to detail
  • Occasional travel to vendors (<10%)
What We Offer
  • An opportunity to work on exciting, cutting-edge projects to transform patients' lives in a highly collaborative work environment.
  • Competitive compensation, including stock options.
  • Comprehensive benefits package.
  • 401(k) program with matching contributions.

Equal Opportunity Employer
Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.
Confidentiality
All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.

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