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Eeg Neural Signal Processing Jobs in California (NOW HIRING)

Staff Neuroscientist

Santa Clara, CA · On-site

$140 - $230/hr

Strong experience in neural signal processing and data analysis (Python, MATLAB, or C++). * Experimental Design: Deep experience designing and executing complex animal (in vivo) and/or human clinical ...

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

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

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 ...

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 ...

... EEG neurodiagnostics to the next level. What you'll do: * Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various ...

Tech - EEG Tech

Chico, CA · On-site

$2.3K/wk

Explain the EEG procedure to the patient, ensuring they understand the process, its purpose, and ... Monitor the patient during the EEG procedure to ensure proper electrode placement and signal ...

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 ...

... and neural signal processing, or agentic AI systems • A PhD in machine learning, computer science, neuroscience or a closely related field is strongly preferred; exceptional candidates with a ...

Senior/Staff Data Scientist

San Jose, CA · On-site

$184K - $200K/yr

... EEG neurodiagnostics to the next level. What you'll do: * Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various ...

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184K - $200K/yr

... EEG neurodiagnostics to the next level. What you'll do: * Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various ...

Showing results 21-40

Eeg Neural Signal Processing information

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?

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 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 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 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:

Infographic showing various Eeg Neural Signal Processing job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Staff Neuroscientist

SupportFinity™

Santa Clara, CA • On-site

$140 - $230/hr

Other

Posted 4 days ago


Job description

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 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 a highly motivated and experienced Staff Neuroscientist with a deep background in neuro‑engineering to lead the discovery and development of our next‑generation BCI systems. In this role, you will sit at the intersection of biology and engineering, ensuring our hardware and algorithms are optimized for the complexities of the human brain. You will be a key driver of our research roadmap, moving fluidly between high‑level discovery and the hands‑on execution of clinical and animal protocols.

This position will be based in our New York City or Santa Clara office. We can consider remote workers, but cannot consider individuals who are not currently based in the US and are not legally authorized to work in the US.

Key Responsibilities
  • Lead Discovery: Spearhead the research and conceptualization of next‑generation versions of the Layer 7 system, identifying new ways to increase bandwidth, resolution, and clinical utility.
  • Protocol Development: Design and drive animal and clinical research protocols to validate device safety, efficacy, and performance.
  • System Optimization: Work closely with hardware and software teams to optimize device design and refine decoding algorithms, ensuring they meet the requirements of real‑world neural data.
  • Data Analysis: Interpret complex electrophysiological data to provide actionable insights for the engineering and product teams.
  • Cross‑Functional Leadership: Act as the scientific bridge between the clinical team and the engineering departments (Microfabrication, Implant Hardware, and ML).
  • Regulatory Support: Contribute scientific expertise to FDA submissions and regulatory documentation as we scale our clinical presence.
Skills, Knowledge, And Expertise
  • Educational Background: PhD in Neuroscience or a related quantitative field.
  • Extensive Neuro‑engineering Experience: 2+ years of post‑PhD experience in a research or industrial setting, specifically focused on the interface between neural tissue and engineered systems.
  • BCI Expertise: Proven track record working with Brain‑Computer Interfaces (BCI), specifically with high‑density electrophysiology (ECoG or penetrating arrays).
  • Technical Proficiency: Strong experience in neural signal processing and data analysis (Python, MATLAB, or C++).
  • Experimental Design: Deep experience designing and executing complex animal (in vivo) and/or human clinical studies.
  • Innovation Mindset: A history of “first‑principles” thinking with the ability to solve ambiguous problems in a fast‑paced startup environment.
Preferred Qualifications
  • Experience with thin‑film microelectronics or flexible electronics.
  • Familiarity with regulatory requirements for Class III medical devices (IDE/PMA).
  • Knowledge of cortical mapping and large‑scale neural population dynamics.

Diverse workforces create the best culture, company, and products. We at Precision are committed to an inclusive culture that celebrates the uniqueness and contributions of everyone.

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.

The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment.

We prioritize candidate security. Please be aware that job offers will only come from emails ending with @ precisionneuro.io

For roles based in Massachusetts

: it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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