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Brain Computer Interface Jobs in California (NOW HIRING)

Neara

EE Systems Engineer

Santa Clara, CA · On-site

Chicago, Illinois, 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 ...

SupportFinity™

Staff Neuroscientist

Santa Clara, CA · On-site

About Precision Neuroscience Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our first ...

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 are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between ...

Paradromics, Inc.

Software 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 ...

Capital Factory

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 ...

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

Software 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 ...

Merge Labs

Scientist - Synthetic Biology

San Francisco, CA · On-site

$120K - $165K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

Merge Labs

Scientist - In Vivo Operations

San Francisco, CA · On-site

$120K - $165K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

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Brain Computer Interface information

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How much do brain computer interface jobs pay per hour?

As of Sep 10, 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 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 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 most commonly searched types of Brain Computer Interface jobs in California?

The most popular types of Brain Computer Interface jobs in California are:

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

For Brain Computer Interface jobs in California, the most frequently searched job titles 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:

Brain Computer Interface jobs near you
Infographic showing various Brain Computer Interface 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, with an average salary of $112,769 per year, or $54.2 per hour.

EE Systems Engineer

Santa Clara, CA • On-site

Neara
See more jobs at Nearaexternal

Other

Posted 8 days ago

Key responsibilities

  • Analyze and improve the end-to-end signal processing chain from sensor elements to machine learning feature extraction.

  • Design and analyze advanced signal processing methods, such as adaptive filters, for signal acquisition improvements.

  • Model and correlate practical device performance with bench device performance.

Job description

EE Systems Engineer

Job type: Full Time · Department: Electronics · Work type: On-Site · USD 155,000-185,000 / year

Locations: Santa Clara, California, United States; Chicago, Illinois, 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 first product, Layer 7, is designed to help people with severe paralysis operate digital devices using only their thoughts—opening up new possibilities for daily life.

Our team brings together experts in neurosurgery, AI and machine learning, microfabrication, electrical engineering, clinical science, and more. We combine deep technical rigor with a people-first mindset to turn breakthrough research into real-world medical solutions.

As a Precision employee, you’ll join one of the fastest-moving and best-capitalized companies in the emerging field of brain–computer interfaces. Since our founding in 2021, we have raised more than $180 million, advanced our technology through validation, and initiated human trials with leading hospitals across the country.

Our Values
  • We build for human impact, measuring progress by the lives our work can change.
  • We do no harm, holding ourselves to the highest standards of safety, integrity, and responsibility.
  • We innovate with urgency, because the stakes are high and our users can’t wait.
  • We bring sharp minds, open ears, pairing expertise with curiosity, humility, and respect.
  • And we lead the way, taking ownership of our work and helping to shape the future of our field.

We are seeking an EE Systems Engineer to analyze and improve our end-to-end signal processing chain, in collaboration with microfabrication, firmware, machine learning, and software teams.

In this role you will work closely with EE design engineers, as well as firmware, machine learning, and software engineers to analyze and improve end-to-end BCI signal acquisition systems.

This position will be based in our Santa Clara office. We are unable to consider remote workers or individuals who are not currently based in the US and are not legally authorized to work in the US.

Key Responsibilities
  • End-to-end sensor signal chain analysis, from sensor elements to machine learning feature extraction
  • Analysis and design of advanced signal processing methods for signal acquisition improvements, such as adaptive filters for interference rejection
  • Correlation and modeling of practical device performance vs bench device performance
Skills, Knowledge and Expertise
  • Strong understanding of analog and digital signal processing (filters, sampling, analog to digital conversion), including statistical signal processing (adaptive filters, estimation and detection theory)
  • Solid knowledge of analog signal processing imperfections, such as noise, interference, component variations. Experience modeling of analog imperfections is a plus.
  • Knowledge of control systems and feedback fundamentals
  • Experience with system modeling and simulation frameworks (Python / MATLAB / Simulink / SystemC / SystemVerilog)
  • Experience with embedded signal processing, including fixed-point optimization for FPGA or DSP implementation
  • Working knowledge of machine learning frameworks (PyTorch)
  • Knowledge of digital communication fundamentals and SERDES is a plus
  • Experience with on-device machine learning is a plus

As an equal opportunity employer, Precision does not discriminate on the basis of sex, race, religion, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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