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Entry Level Brain Computer Interface Jobs in California

Neuralink

Analog IC Layout Engineer

Fremont, CA · On-site

$83K - $139K/yr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We ...

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 ...

Neuralink

Digital IC Design Engineer Intern

Fremont, CA · On-site

$35/hr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We ...

Subsense

Full-Stack Software Engineer

Palo Alto, CA · On-site

$120K - $160K/yr

About Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is ...

csproviders

Neurology - Physician

Orange, CA · On-site

Brain-computer interface research * Closed-loop DBS technology * AI and advanced data analytics * Deep brain stimulation outcomes research * Clinical trials * Genetic therapies * Medication outcomes ...

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Entry Level Brain Computer Interface information

What is an entry level brain computer interface job?

An entry level brain computer interface (BCI) job typically involves assisting with the development, testing, and implementation of systems that connect the human brain to external devices, such as computers or prosthetics. These roles often require a background in neuroscience, engineering, computer science, or a related field. Responsibilities may include collecting and analyzing brain signal data, supporting software or hardware development, and conducting experiments under supervision. Entry-level employees usually work as part of multidisciplinary teams and receive on-the-job training to build expertise in the field.

What are some common challenges faced by entry-level professionals working in Brain-Computer Interface (BCI) roles?

Entry-level professionals in Brain-Computer Interface roles often encounter challenges such as adapting to the interdisciplinary nature of the field, which blends neuroscience, engineering, and computer science. Newcomers may also need to quickly learn how to work with complex data sets and specialized hardware while keeping up with rapid technological advancements. Additionally, effective collaboration with researchers, clinicians, and software developers is essential for project success, so strong communication skills are important. Overcoming these initial hurdles can lead to meaningful contributions to cutting-edge research and technology development.

What are the key skills and qualifications needed to thrive as an Entry Level Brain Computer Interface Specialist, and why are they important?

To thrive as an Entry Level Brain Computer Interface (BCI) Specialist, you need foundational knowledge in neuroscience, biomedical engineering, or computer science, often supported by a relevant bachelor's degree. Familiarity with signal processing software (such as MATLAB or Python), EEG systems, and data analysis tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and interpret complex data. These skills ensure accurate development, testing, and implementation of BCI systems, which are crucial for advancing this emerging technology.

What is the difference between Entry Level Brain Computer Interface vs Entry Level Neural Engineer?

AspectEntry Level Brain Computer InterfaceEntry Level Neural Engineer
Required CredentialsBachelor's in neuroscience, engineering, or related field; basic understanding of signal processingBachelor's in biomedical engineering, neuroscience, or related; knowledge of neural systems and data analysis
Work EnvironmentResearch labs, tech companies, healthcare settingsResearch institutions, biotech firms, medical device companies
Industry UsageDeveloping BCI devices, signal acquisition, and processingDesigning neural interfaces, analyzing neural data, device integration

While both roles involve working with neural data and require backgrounds in neuroscience or engineering, Entry Level Brain Computer Interface positions focus on developing and implementing BCI technologies, whereas Entry Level Neural Engineers typically work on designing neural systems and analyzing neural signals. Both roles are essential in advancing neurotechnology and often overlap in skills and work environments.

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 Entry Level Brain Computer Interface jobs in California? For Entry Level Brain Computer Interface jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Brain Computer Interface jobs in California look for? The top searched job categories for Entry Level Brain Computer Interface jobs in California are:
What cities in California are hiring for Entry Level Brain Computer Interface jobs? Cities in California with the most Entry Level Brain Computer Interface job openings:
Entry Level Brain Computer Interface jobs near you
Infographic showing various Entry Level Brain Computer Interface job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Analog IC Layout Engineer

Analog IC Layout Engineer

Neuralink

Fremont, CA • On-site

$83K - $139K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.
Job Description and Responsibilities:
We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As an Analog IC Layout Engineer, your responsibilities will include:
  • Crafting state-of-the-art layouts for mixed-signal and analog circuits
    • Amplifiers
    • Filters
    • Switched capacitor circuits
    • Oscillators
    • Data converters
    • Power management circuits
  • Reviewing layout floorplans and analyzing high-fidelity circuits with circuit engineers
  • Physical verification of custom IC mask layouts (LVS, DRC, ERC)

Required Qualifications:
  • 2+ years of experience in analog and mixed-signal IC layout design
  • 1+ year experience with FinFET technologies
  • Ability to identify the best approach to solving problems

Preferred Qualifications:
  • Programming/scripting knowledge in SKILL, TCL, Shell, C/C++, and/or Python
  • Proven expertise in implementing analog and mixed-signal layout designs, achieving tight matching, low noise, and low power consumption
  • Understanding on failure-prone circuit and layout structures
  • Experience with analog DFM standards
  • Experience with layout P-cell design and implementation
  • Experience with layout automation

Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$83,000-$139,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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