ZipRecruiter

Log In

1

Eeg Neural Signal Processing Jobs in California (NOW HIRING)

LVIS

Research Scientist

Palo Alto, CA · On-site

$120K - $140K/yr

Minimum 5+ years in time-series data analysis and signal processing * Proficiency in Python and ... Experience with neural signal decoding (EEG, ECoG, sEEG) * Experience with signal source ...

LVIS

Research Scientist

Palo Alto, CA · On-site

$120K - $140K/yr

Minimum 5+ years in time-series data analysis and signal processing * Proficiency in Python and ... Experience with neural signal decoding (EEG, ECoG, sEEG) * Experience with signal source ...

LVIS

Research Scientist

Palo Alto, CA · On-site

$120K - $140K/yr

Minimum 5+ years in time-series data analysis and signal processing * Proficiency in Python and ... Experience with neural signal decoding (EEG, ECoG, sEEG) * Experience with signal source ...

Apple

HID Algorithms Engineer

Cupertino, CA · On-site

$98K - $133K/yr

... in signal processing and machine learning, including areas such as time-series analysis, digital filtering, feature extraction, classification, regression, or neural network-based inference ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

This role offers hands-on experience with state-of-the-art neural decoding technology while working ... Knowledge of signal processing for data preprocessing and analysis * Familiarity with EEG or other ...

Apple

Camera Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. Here ...

NextSense

Senior ML/Research Scientist

Mountain View, CA

$116K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop ... Comfortable conducting conventional and mobile EEG recordings or willing to learn * Experience with ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop ... Comfortable conducting conventional and mobile EEG recordings or willing to learn * Experience with ...

Apple

HID Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

... in signal processing and machine learning, including areas such as time-series analysis, digital filtering, feature extraction, classification, regression, or neural network-based inference ...

Apple

HID Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

... in signal processing and machine learning, including areas such as time-series analysis, digital filtering, feature extraction, classification, regression, or neural network-based inference ...

OSI Engineering, Inc.

Lead Sensor Engineer

Palo Alto, CA · On-site

$300K - $400K/yr

This role requires deep expertise in wearable sensing systems, signal processing, sensor ... Own the non-EEG sensing architecture across the platform, including optical, inertial, temperature ...

next page

Showing results 1-20

All JobsEeg Neural Signal Processing JobsEeg Neural Signal Processing Jobs in California

Eeg Neural Signal Processing information

What are some common challenges faced when processing EEG neural signals, and how can professionals address them in their daily work?

One of the main challenges in EEG neural signal processing is dealing with noise and artifacts, such as those caused by eye movements or muscle activity, which can obscure the true neural signals. Professionals often use specialized filtering techniques and artifact rejection algorithms to clean the data before analysis. Additionally, interpreting the complex and high-dimensional EEG data requires a solid understanding of both neuroscience and advanced signal processing methods. Collaborating closely with neuroscientists, clinicians, and software engineers is crucial for refining analysis pipelines and ensuring meaningful results.

What is EEG neural signal processing?

EEG neural signal processing refers to the analysis and interpretation of electrical activity in the brain as recorded by electroencephalography (EEG). This process involves filtering, amplifying, and extracting meaningful features from the raw EEG signals to study brain function, diagnose neurological disorders, or develop brain-computer interfaces. Researchers and clinicians use various computational techniques to separate noise from actual brain signals, enabling a better understanding of brain activity and aiding in medical or research applications.

What are the key skills and qualifications needed to thrive as an EEG Neural Signal Processing specialist, and why are they important?

To thrive as an EEG Neural Signal Processing specialist, you need a solid background in neuroscience, signal processing, and programming, typically supported by a degree in biomedical engineering, neuroscience, or related fields. Familiarity with technical tools such as MATLAB, Python, EEGLAB, and experience with EEG acquisition systems are essential. Strong analytical thinking, problem-solving skills, and clear communication help you interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for accurately analyzing neural signals, advancing research, and ensuring reliable outcomes in clinical or research settings.

What is the difference between Eeg Neural Signal Processing vs Neurophysiologist?

AspectEeg Neural Signal ProcessingNeurophysiologist
Required CredentialsTypically requires a degree in neuroscience, biomedical engineering, or related fields; certifications in signal processing are a plusRequires advanced degrees (PhD or MD), specialized training in neurophysiology, and often board certification
Work EnvironmentResearch labs, hospitals, or tech companies focusing on brain signal analysisHospitals, clinics, research institutions conducting neurological assessments
Industry UsagePrimarily in research, medical device development, and data analysisClinical diagnosis, patient care, and neurological research

While Eeg Neural Signal Processing focuses on analyzing brain signals using signal processing techniques, Neurophysiologists perform clinical assessments and interpret neurological data. Both roles require a strong background in neuroscience, but neurophysiologists typically have more clinical responsibilities and advanced medical credentials.

What are popular job titles related to Eeg Neural Signal Processing jobs in California? For Eeg Neural Signal Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Eeg Neural Signal Processing jobs in California look for? The top searched job categories for Eeg Neural Signal Processing jobs in California are:
What cities in California are hiring for Eeg Neural Signal Processing jobs? Cities in California with the most Eeg Neural Signal Processing job openings:
Eeg Neural Signal Processing jobs near you
Infographic showing various Eeg Neural Signal Processing job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution.

Research Scientist

LVIS

Palo Alto, CA • On-site

$120K - $140K/yr

Full-time

Posted 20 days ago

Job description

Company Description
LVIS Corporation is on a mission to revolutionize the entire continuum of neurological care by developing AI driven software tools to help physicians accelerate patient throughput and improve patient diagnostic and treatment outcomes. We have an international team with our headquarters located in Palo Alto, California, USA, and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in our mission to transform the neurology health care industry.
Requirements
Minimum Qualification (Required):
  • Must have a Ph.D. in Electrical Engineering or one of the following fields: Computer Science, Mathematics, Physics, Statistics
  • Minimum 5+ years in time-series data analysis and signal processing
  • Proficiency in Python and hands-on experience with frameworks such as PyTorch, SciPy, Numpy
  • Strong understanding of machine learning and deep learning algorithms and their applications in medical settings
  • Proven experience in developing and validating complex algorithms and AI models in Python
  • Excellent communication skills and ability to collaborate within an interdisciplinary team of scientists, engineers, and physicians

Preferred Qualifications
  • First-author publications at peer-reviewed journals and conferences
  • 2+ years of post-doctoral or previous industry experience
  • Experience with neural signal decoding (EEG, ECoG, sEEG)
  • Experience with signal source localization or neuroimaging data analysis

Benefits
Salary Range
  • Expected base salary range: $120,000 - $140,000 annually.
  • Actual compensation may vary based on experience, skills, qualifications, and location.

Apply