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Neuroscience Engineering Jobs in California (NOW HIRING)

Aspen Neuroscience

Sr. Automation Engineer

San Diego, CA · On-site

$135K - $165K/yr

Aspen Neuroscience is at the forefront of autologous stem-cell therapies, and we are looking to add a Senior Automation Engineer to our growing team. The Senior Automation Engineer will support the ...

Aspen Neuroscience

Sr. Automation Engineer

San Diego, CA

$110K - $144K/yr

Aspen Neuroscience is at the forefront of autologous stem-cell therapies, and we are looking to add a Senior Automation Engineer to our growing team. The Senior Automation Engineer will support the ...

Mason-Grey Corporation

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Neuroscience Biomarkers Immunoassays Lab Technician

San Diego, CA · On-site

$34 - $38/hr

Neuroscience Biomarkers Immunoassays Lab Technician IV POSTING: 72451 (JNJNJP00072451) LOCATION ... S) in Science, Engineering and Technical subjects, as well as 5+ years of postgraduate work ...

Astera

In Vitro Neuroscientist

Emeryville, CA · On-site

PhD in Neuroscience, Neurobiology, Biomedical Engineering, Physiology, or related discipline * Strong track record of hands-on experimental neuroscience research * Expertise in one or more of the ...

nudge

Human Neuroscientist

San Francisco, CA · On-site

A PhD or postdoc in cognitive neuroscience, neuroengineering, or a similar science or engineering field * Strong neuromodulation and neurophysiology first principles * Experience with brain ...

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Neuroscience Engineering information

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$34.5K

$91.7K

$170.7K

How much do neuroscience engineering jobs pay per year?

As of Aug 31, 2026, the average yearly pay for neuroscience engineering in California is $91,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $112,500.00 per year, depending on experience, location, and employer.

What is neuroscience engineering?

Neuroscience engineering is an interdisciplinary field that combines principles of neuroscience and engineering to study, model, and manipulate the nervous system. Professionals in this field develop technologies such as brain-computer interfaces, neural implants, and devices for diagnosing or treating neurological disorders. They work at the intersection of biology, electronics, computer science, and mathematics to advance our understanding of the brain and develop innovative medical or research solutions. This field is critical for advancements in neuroprosthetics, neuroimaging, and therapies for conditions like epilepsy or paralysis.

What are the key skills and qualifications needed to thrive as a neuroscience engineer?

To thrive as a Neuroscience Engineer, you need a strong background in neuroscience, biomedical engineering, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), neuroimaging tools (like fMRI or EEG), and data analysis software is essential. Problem-solving, interdisciplinary collaboration, and effective communication are standout soft skills in this role. These competencies enable the development of innovative neural technologies and foster successful teamwork in complex research or clinical environments.

What are some common challenges faced by professionals in neuroscience engineering, and how can they be addressed?

One common challenge in Neuroscience Engineering is navigating the interdisciplinary nature of the field, as it requires collaboration between neuroscientists, engineers, and clinicians. Professionals often need to bridge gaps in communication and coordinate complex research or development projects across different domains. Staying current with advances in both neuroscience and engineering can also be demanding. Building strong cross-functional teams, actively engaging in continuous learning, and fostering open communication channels are effective ways to address these challenges.

What is the difference between Neuroscience Engineering vs Biomedical Engineering?

AspectNeuroscience EngineeringBiomedical Engineering
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Bioengineering, or related fields
Work EnvironmentResearch labs, healthcare tech companies, universitiesHospitals, medical device companies, research institutions
Industry UsageFocuses on neural systems, brain-computer interfaces, neurotechnologyDesigns medical devices, prosthetics, imaging systems
Common Search/ComparisonNeuroscience Engineering vs Biomedical Engineering

Neuroscience Engineering and Biomedical Engineering share overlapping skills and work environments, but Neuroscience Engineering specializes in neural systems and neurotechnology, while Biomedical Engineering covers a broader range of medical devices and systems. Both fields are vital in advancing healthcare technology and often collaborate in research and development.

Can you go into engineering with a neuroscience degree?

Neuroscience engineering is an interdisciplinary field that combines neuroscience with engineering principles, and individuals with a neuroscience degree can pursue careers in biomedical engineering, neural engineering, or neurotechnology. Gaining skills in programming, electronics, and data analysis, along with relevant internships or certifications, can enhance employment prospects in engineering roles related to neuroscience.

What does a neuroscience engineering do?

A neuroscience engineer designs and develops technologies to study and interface with the nervous system, such as neural implants, brain-computer interfaces, and neuroprosthetics. They often work with interdisciplinary teams, utilize tools like electrophysiology and imaging, and require knowledge of neuroscience, engineering principles, and programming. Their work supports medical treatments, research, and the development of assistive devices.

What are popular job titles related to Neuroscience Engineering jobs in California?

For Neuroscience Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Neuroscience Engineering jobs in California look for?

The top searched job categories for Neuroscience Engineering jobs in California are:

What cities in California are hiring for Neuroscience Engineering jobs?

Cities in California with the most Neuroscience Engineering job openings:

Neuroscience Engineering jobs near you
Infographic showing various Neuroscience Engineering job openings in California as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $91,739 per year, or $44.1 per hour.

Neuroscience Engineer, Neurodiagnostic Labs - Full Time, Days (08HR)

Stanford Health Care

Palo Alto, CA • On-site

Full-time

Posted 6 days ago

Job description

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.
Day - 08 Hour (United States of America)
This is a Stanford Health Care job.
A Brief Overview
The Neuroscience Engineer is responsible for providing technical support for the DBS lead implant surgery program before, during, and after every case. This includes (1) maintaining an inventory of supplies used, (2) ensuring the correct supplies and devices are present for each case, (3) working with the neurosurgeons, neurologists, nurses, and scrub techs throughout each case to achieve the neurosurgeon's particular workflow, (4) operating and maintaining the systems used for microelectrode recording, (5) ensuring that reusable devices are properly packaged and processed after each case, and (6) other ancillary responsibilities in support of the DBS lead implant program. Most of these responsibilities will be accomplished independently, requiring a high level of motivation, organization, and attention to detail. The successful execution of these responsibilities is critical to the success of the DBS lead implant surgeries. The Neuroscience Engineer is also responsible for providing technical support to the Stanford Autonomic Disorders Program.
Locations
Stanford Health Care
What you will do
  • Provide technical support to the DBS lead implant cases from start to finish. Work closely with the neurosurgeons, neurologists, nurses, scrub techs, and NDL tech throughout the case to achieve the neurosurgeon's particular workflow.
  • Maintain an inventory of single-use supplies used in the DBS lead implant surgeries. Request vendor quotes, submit PO requests, monitor the status of pending orders and back orders, pick up shipments at the loading dock, and restock the storage area.
  • Before every case, prepare all single use supplies needed for the specific case. At the beginning of the case, ensure that all required supplies and equipment are in the operating room, and assist the surgeon in preparing the equipment, if appropriate for the specific case. After every case, ensure that all reusable devices are properly prepared for processing.
  • Set-up and take down, operate, trouble shoot, and maintain the audio system used in the OR during microelectrode recording.
  • Assist the neurosurgeon's or neurologist's research team in preparing for the OR and in integrating the research protocol with the surgical workflow.
  • Provide general technical support for the patient testing conducted in the Autonomic Lab.
  • Support research activities in the Human Neural Circuitry Lab across modalities such as DBS, sEEG, EEG, and fMRI. Responsibilities may include hardware and software development, experimental task design, data collection, and research administration
  • Process and analyze neural and medical imaging data from research studies. Develop and maintain analysis of pipelines and documentation to support reliable and reproducible research

Education Qualifications
  • Master's Degree

Experience Qualifications
  • Minimum of (2) years of progressively responsible and directly related work experience

Required Knowledge, Skills and Abilities
  • Ability to apply judgment and make informed decisions
  • Ability to conduct analysis and formulate conclusions
  • Ability to effectively prioritize work and meet deadlines in a fast-paced environment
  • Ability to foster effective working relationships and build consensus
  • Ability to plan, organize, prioritize, work independently and meet deadlines
  • Knowledge of clinical protocols, procedures, and practices in specialty area
  • Knowledge of relevant computer systems and software
  • Knowledge of relevant local, state and federal regulatory requirements
  • Knowledge of relevant new technologies; maintain and stay abreast of updates and changes
  • Knowledge of relevant quality assurance methods and procedures
  • Knowledge of use and care of relevant clinical equipment, instruments, and supplies

Preferred Knowledge, Skills and Abilities
  • Experience with DBS lead implant surgeries
  • Experience with microelectrode recordings
  • Experience operating microelectrode recording systems
  • Experience working near a sterile field in an operating room
  • Experience using the EPIC electronic medical records system
  • Experience with statistics, statistical tests, and signal processing
  • Experience with clinical autonomic testing procedures
  • Experience operating physiological monitoring medical instrumentation
  • Experience with building and/or repairing electronic devices

Physical Demands and Work Conditions
Physical Demands
  • Occasional Sitting.
  • Occasional Walking.
  • Occasional Standing.
  • Occasional Bending.
  • Occasional Squatting.
  • Occasional Climbing.
  • Occasional Kneeling.
  • Occasional Hand Use.

Blood Borne Pathogens
  • Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks

These principles apply to ALL employees:
SHC Commitment to Providing an Exceptional Patient & Family Experience
Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.
You will do this by executing against our three experience pillars, from the patient and family's perspective:
  • Know Me: Anticipate my needs and status to deliver effective care
  • Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
  • Coordinate for Me: Own the complexity of my care through coordination

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.
Base Pay Scale: Generally starting at $62.75 - $83.16 per hour
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

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