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Brain Computer Interface Jobs in California (NOW HIRING)

About the Role As a Research Intern , you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection ...

About the Role As a Research Intern, you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection ...

New York, New York, United States Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our ...

Nanoscientist

Mountain View, CA ยท On-site

$110K - $130K/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 ...

Nanoscientist

Mountain View, CA ยท On-site

$110K - $130K/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 ...

Neuroengineer, Next Gen

South San Francisco, CA ยท 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 ...

Neuroengineer, Next Gen

Fremont, CA ยท 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 ...

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Brain Computer Interface information

See California salary details

$11

$54

$76

How much do brain computer interface jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for brain computer interface in California is $54.22, according to ZipRecruiter salary data. Most workers in this role earn between $47.45 and $61.68 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 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 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 the most commonly searched types of Brain Computer Interface jobs in California? The most popular types of Brain Computer Interface jobs in California are:
What job categories do people searching Brain Computer Interface jobs in California look for? The top searched job categories for Brain Computer Interface jobs in California are:
What cities in California are hiring for Brain Computer Interface jobs? Cities in California with the most Brain Computer Interface job openings:
Infographic showing various Brain Computer Interface job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $112,769 per year, or $54.2 per hour.

Research Engineer - Brain Computer Interface Models

Zyphra

San Francisco, CA โ€ข On-site

Full-time

Re-posted 23 days ago


Job description

Job Summary:
Zyphra is an artificial intelligence company based in San Francisco, California. They are seeking a Research Engineer - Brain Computer Interface Models to contribute to their BCI work by building open-source EEG and brain-computer interface models, involving data collection, preprocessing, and model training.
Responsibilities:
โ€ข Large-scale EEG model training runs and evaluation
โ€ข Architecture and training methodology ablations and innovations
โ€ข Dataset collection and preprocessing for EEG and other BCI modalities
โ€ข Performance optimization of the training stack
โ€ข Integration of models into real-world BCI applications
Qualifications:
Required:
โ€ข Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
โ€ข Excellent communication and collaboration skills, with clean and concise coding practices
โ€ข Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
โ€ข Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain
โ€ข Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space
โ€ข Proficiency with PyTorch and Python
Preferred:
โ€ข Experience with VAEs, GANs, diffusion models, and contrastive learning
โ€ข Familiarity with signal processing (especially for EEG) and time-series analysis
โ€ข Experience training on large-scale (multi-node) GPU clusters
โ€ข Experience contributing to large existing codebases and ramping up quickly
โ€ข Previously published machine learning research in well-respected venues
Company:
Zyphra is superintelligence research and product company based in San Francisco, California. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.