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Full Time Brain Computer Interface Jobs (NOW HIRING)

Subsense

Full-Stack Software Engineer

Palo Alto, CA · On-site

$120K - $160K/yr

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 ...

Paradromics

Process Engineer

Austin, TX · 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 ...

Zyphra

Principal Solutions Architect

San Francisco, CA · On-site

Serving as the primary technical advisor to strategic partners and customers across Zyphra's full AI model portfolio: including language, vision, audio, brain computer interface and agentic systems ...

Neuralink

Software Engineer, CI/CD

Austin, TX · On-site

Neuralink is a neurotechnology company that focuses on developing brain-computer interfaces designed to treat neurological disorders. Founded in 2016, the company is headquartered in Fremont, USA ...

Neuralink

Mechanical Engineer, Implant

Austin, TX · On-site

$120K - $224K/yr

... our brain-computer interface devices. Projects will be highly varied, leveraging both breadth and ... Base Salary Range: $120,000-$224,000 USD What We Offer: Full-time employees are eligible for the ...

Paradromics

Electrical Engineer - PCB

Austin, TX · 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 ...

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$116K - $233K/yr

... state-of-the-art brain-computer interfaces. Relevant product development experience in micro ... Base Salary Range: $116,000-$233,800 USD What We Offer: Full-time employees are eligible for the ...

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

As of Jun 20, 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
Assistant Professor, Research BCI [Req#: 777813, Position#: 122040]

Assistant Professor, Research BCI [Req#: 777813, Position#: 122040]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 21 days ago

UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

107th of 873 rated healthcare providers

Job description

Description
The Department of Neurological Surgery at the University of Texas Southwestern Medical Center is offering a full-time research faculty position at all academic levels. We are seeking dynamic individuals dedicated to human subject research focused on advancing science, technology, and translation of brain-computer interfaces (BCI). Applicants must hold a Ph.D. and/or M.D. degree AND demonstrate a background of experience AND PUBLISHED WORK in related areas of study, with graduate training in neuroscience, bioengineering, or computational biology. For those whose careers also encompass clinical care, eligibility or possession of a Texas Medical License is required. We are committed to recognizing and rewarding our faculty's achievements; therefore, the appointment rank will be tailored to reflect each candidate's academic accomplishments and professional experience TO DATE. Join us in advancing the frontiers of neurological surgery research and contribute to groundbreaking discoveries that will shape our future of healthcare.

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