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Brain Computer Interface Engineer Jobs in California

Research Engineer

Oakland, CA · On-site

$120K - $150K/yr

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

Research Engineer

Oakland, CA · On-site

$125 - $150/hr

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

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

Software Engineer

Oakland, CA · On-site

$120K - $150K/yr

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 ...

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

... brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push ... the frontiers of what is possible today and define the future. and Responsibilities: We are looking ...

UI Engineer

Santa Clara, CA · On-site

$122K - $163K/yr

... Computer Architecture, or related major, or equivalent experience UI Engineer Nice to Have Skills Experience with Bluetooth LE protocol Knowledge of Android platform and Android SDK Ability to ...

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 ...

Staff Neuroscientist

Santa Clara, CA · On-site

$150 - $200/hr

... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... In this role, you will sit at the intersection of biology and engineering, ensuring our hardware ...

MLOps Research Engineer

San Francisco, CA · On-site

$200K - $235K/yr

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

Showing results 21-40

Brain Computer Interface Engineer information

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.

Infographic showing various Brain Computer Interface Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

Research Engineer

Oakland, CA • On-site

Paradromics
Biotechnology Research and Development • 11 - 50 employees

$120K - $150K/yr

Full-time

Re-posted 26 days ago


Job description

About Paradromics
Brain-related illness is one of the last great frontiers in medicine, not because the brain is unknowable, but because it has been inaccessible. 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 of brain-data, enabling the seamless translation of thought into treatments.
Our first clinical application, the Connexus® BCI, will help people who are unable to speak, due to ALS, spinal cord injuries, and stroke, to communicate independently through digital devices. However, the capabilities of our BCI platform go far beyond our first application. With the brain in direct communication with digital devices, we can leverage technology to transform how we treat conditions ranging from sensory and motor deficits to untreatable mental illness.
The Role
As a Research Engineer at Paradromics, you'll work closely with our team of Scientists and Engineers to develop software that enables our clinical applications. You will help design software to restore communication ability for our BCI users, enabling successful clinical studies of the Connexus System.
Responsibilities
  • Develop data curation strategies for user interaction and BCI data
  • Realize BCI decoding algorithms as performant software
  • Evaluate software with simulated and real neural data, as well as with our BCI hardware in the loop
  • Participate in code reviews and contribute to the development of new features and tools
  • Work closely with our engineering, neuroscience, and quality teams to identify and capture needs and requirements
  • Regularly travel between our Austin and Oakland offices

Required Education
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field; or equivalent real world experience
  • 3+ years of professional experience relevant to this role

Required Qualifications
  • Highly proficient in Python
  • Experience with Rust, C++, or C
  • Familiarity with machine learning concepts and experience collaborating with machine learning practitioners
  • Demonstrated prior professional experience with multiple programming languages

Preferred Qualifications
  • Working knowledge of operating systems concepts and performant software
  • Familiarity with signal processing / time series data processing concepts and algorithms.
  • Experience working on projects involving quality management systems, such as medical device development, aviation, finance, defense

Paradromics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin
Salary: $120,000-150,000 base