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Neurotechnology Jobs in California (NOW HIRING)

Neara

Vice President of Market Access

Santa Clara, CA · On-site

$200 - $250/hr

This role is central to translating breakthrough neurotechnology into real‑world clinical adoption by establishing sustainable coverage, coding, payment, and evidence strategies for a Class III ...

nudge

Member of Research Staff

San Francisco, CA · On-site

Help design, execute, and analyze human neuroscience studies that advance the development of next-generation neurotechnology * Collaborate closely with research and engineering teams to run high ...

Ampa, Inc.

Sr. Prototype Engineer

San Diego, CA · On-site

$75K - $90K/yr

Ampa is a pioneering neurotechnology startup developing brain stimulation technology to help eradicate depression . We will improve millions of lives by making this transformative treatment ...

Nudge

Member of Research Staff

San Francisco, CA · On-site

Help design, execute, and analyze human neuroscience studies that advance the development of next-generation neurotechnology * Collaborate closely with research and engineering teams to run high ...

Alljoined

Software Engineer

San Francisco, CA · On-site

Alljoined develops neurotechnology that connects human cognition with digital systems through non-invasive brain-computer interfaces. Founded in 2023, the company is headquartered in San Francisco ...

Stryker

Intern, Customer Services

Petaluma, CA · On-site

The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world ...

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How much do neurotechnology jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for neurotechnology in California is $37.30, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $40.82 per hour, depending on experience, location, and employer.

What types of projects or technologies might I work on as a neurotechnology professional?

As a neurotechnology professional, you may work on projects involving brain-computer interfaces, neural prosthetics, neuromodulation devices, or advanced neuroimaging systems. Daily tasks could include analyzing neural data, developing algorithms to interpret brain signals, collaborating with clinicians for device testing, and ensuring compliance with regulatory standards. Most teams are highly interdisciplinary, so you’ll often work alongside neuroscientists, engineers, clinicians, and software developers. The diversity of projects provides opportunities to learn new skills and contribute to advancements that can significantly impact patient care and neurorehabilitation.

What are the key skills and qualifications needed to thrive in the Neurotechnology position, and why are they important?

To thrive in Neurotechnology, you need a strong background in neuroscience, biomedical engineering, or a related field, along with proficiency in research methodologies and data analysis. Experience with neuroimaging tools (such as EEG, fMRI), programming languages (like Python or MATLAB), and relevant certifications in neural engineering or medical devices are highly valued. Critical thinking, problem-solving abilities, and effective interdisciplinary communication help professionals excel in collaborative research and development environments. These skills are vital for driving innovation, ensuring safety and efficacy, and successfully translating neurotechnological advancements into real-world applications.

What is a Neurotechnology job?

A Neurotechnology job involves working at the intersection of neuroscience, engineering, and technology to develop tools that interact with the nervous system. Professionals in this field may work on brain-computer interfaces (BCIs), neuroprosthetics, medical imaging, or neurorehabilitation devices. Roles can range from research and development to clinical applications, requiring expertise in neuroscience, engineering, AI, and data analysis. These jobs are found in academia, healthcare, biotech, and tech industries, aiming to enhance brain function, treat neurological disorders, or improve human-computer interactions.

What are the most commonly searched types of Neurotechnology jobs in California? The most popular types of Neurotechnology jobs in California are:
What are popular job titles related to Neurotechnology jobs in California? For Neurotechnology jobs in California, the most frequently searched job titles are:
What job categories do people searching Neurotechnology jobs in California look for? The top searched job categories for Neurotechnology jobs in California are:
What cities in California are hiring for Neurotechnology jobs? Cities in California with the most Neurotechnology job openings:
Neurotechnology jobs near you
Infographic showing various Neurotechnology job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $77,591 per year, or $37.3 per hour.

Clinical Neurotechnology Research Assistant

Stanford University

Stanford, CA • On-site

Full-time

Re-posted 2 days ago

Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

225th of 614 rated colleges and universities

Job description

Stanford University is seeking a Physical Science Research Professional 1 to apply knowledge and understanding of a scientific discipline or related technology in laboratories engaged in research in the physical sciences. Typically apply specific scientific or technical knowledge to research projects, guided by broad policies and professional knowledge.
The Clinical Neurotechnology Research Assistant is primarily responsible for the performance of clinical neurotechnology research in the homes of clinical trial participants with tetraplegia (quadriplegia). These responsibilities include the careful execution and documentation of research sessions studying the safety and efficacy of investigational medical devices and novel, neurally-controlled assistive interfaces ("brain-computer interfaces") for people with paralysis or communication impairments.
Duties include*:
  • Serve as primary contact with research participants, sponsors, and regulatory agencies. Coordinate studies from startup through close-out.
  • Determine eligibility of and gather consent from study participants according to protocol. Assist in developing recruitment strategies.
  • Collect and manage patient and laboratory data for clinical research projects. Manage research project databases, develop flow sheets and other study related documents, and complete study documents/case report forms.
  • Monitor expenditures and adherence to study budgets and resolve billing issues in collaboration with finance and/or management staff.
  • Interact with the principal investigator regularly, ensuring patient safety and adherence to proper study conduct.
  • Ensure essential documentation and recording of patient and research data in appropriate files per institutional and regulatory requirements.

Other duties will include*:
  • Install complex research computing hardware and software.
  • Maintain computer software, tracking all software updates and testing equipment function after such updates.
  • Maintain computer hardware by confirming that all cable connections are intact and functioning, troubleshooting equipment components in a manner consistent with safe use of the system, understanding the relationship between hardware components, and anticipating and eliminating hurdles to system expansion and changes (which occur regularly).
  • Arrange, schedule, and execute twice-to-four-times-weekly research sessions, including regular interaction with persons with paralysis and their families/caregivers. These research sessions occur in the homes of clinical trial participants and may involve driving for up to three hours.
  • Meet regularly with researchers to plan and practice execution of research sessions.
  • Record neural activity, select appropriate neural waveforms, configure custom software, and document Neural Interface System performance.
  • Record HD video of research sessions.
  • Redact any sensitive information from videos and create video clips for weekly meetings and publications.
  • Back up and archive data daily to servers at multiple institutions.
  • Perform simple troubleshooting of computer software and hardware.
  • Help to evaluate user interfaces and neurally-controlled assistive devices for persons with paralysis.
  • Provide vigilant skin care of neurosurgically placed devices.
  • Teach participants' caregivers how to properly clean and care for the skin around the percutaneous device interface.
  • Train and sign-off other CNRAs in similar roles at other research sites in study.
  • Assemble unique systems to perform new, unusual or special tests.
  • Conduct a broad range of experiments involving advanced technology; contribute to the design of experimental protocols to achieve the scientific objectives of the research project.
  • Work closely with Supervisor and with colleagues at other universities.
  • Communicate to manufacturers about problems with medical devices; ensure appropriate response.
  • Assist with other neurotechnology research projects, as assigned by Supervisor.
  • Function as the principal technical specialist for the research unit or for a specific research project.
  • Attend weekly lab meetings (in person at Stanford University or by videoconference); may present data.
  • Enhance web presence for research, including managing website updates and social media accounts.
  • Maintain MySQL inventory database to coordinate supplies and equipment used across a multi-site pilot clinical trial and associated research.
  • Submit abstracts, present posters, and assist with research manuscripts.
  • Assist with participant recruitment efforts.
  • Lead some aspects of event planning, such as assembling invite lists or securing a venue.

*Other duties may also be assigned.
DESIRED QUALIFICATIONS:
  • Bachelor's degree with coursework in engineering, biology or neuroscience.
  • 1-2 years related experience in neuroscience or electrical or computer engineering.
  • Extraordinary interpersonal skills and ability to work as part of a complex, multi-institutional team.
  • Ability to comfortably and sensitively interact with study participants.
  • Ability to work independently, take initiative and prioritize tasks.
  • Ability to coordinate activities with colleagues at multiple sites
  • Superb organizational skills and ability to multi-task
  • Excellent attention to detail and ability to document research activities
  • Total comfort in Microsoft Windows environments, including ability to troubleshoot simple computer problems independently
  • Total comfort in Microsoft Office applications (Word, PowerPoint, Outlook)
  • Comfort working with Apple OS
  • Familiarity with Linux / Unix command line is advantageous
  • Experience with Python and Matlab / Simulink environments is advantageous
  • Excellent writing and communication skills in the English language
  • Excellent problem-solving skills
  • Safeguards the privacy of information and keeps appropriate information confidential
  • Ease interacting with and taking direction from multiple levels including physicians, scientists, and engineers via teleconferences and/or videoconferences
  • Previous photography/videography experience is advantageous
  • Previous experience in a research environment is advantageous

EDUCATION & EXPERIENCE (REQUIRED):
Bachelors' degree and two years of experience in related scientific field, or combination of education and relevant experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
  • Demonstrated experience applying multidisciplinary scientific principles and practices to perform and assist with experimental design and coordinate laboratory activity.
  • Demonstrated experience with analysis and interpretation of research data, and ability to recognize irregularities and invalid results.
  • Demonstrated ability to organize data and develop models allowing for integration and display of data.
  • Basic experience with scientific software applications, systems, or programs relevant for the job.
  • Ability to coordinate and work with scientific or research staff and assist with technical procedures.
  • Ability to communicate effectively, both verbally and in writing, and to provide information to scientific and research staff

CERTIFICATIONS & LICENSES:
Must possess and maintain a valid California non- commercial Class C Driver's License.
PHYSICAL REQUIREMENTS*:
  • Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.
  • Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts.
  • Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls.
  • Must have correctible vision to perform duties of the job.
  • Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours.
  • Ability to lift heavy objects weighing up to 50 pounds.
  • Ability to work in a dusty, dirty, and odorous environment.
  • Ability to drive day or night.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
May work extended or unusual work hours based on research and project requirements.
WORK STANDARDS:
  • When conducting university business, must comply with California Vehicle Code and Stanford University driving requirements.
  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.

The expected pay range for this position is $38.55 to $46.68 per hour.
Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

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