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Entry Level Brain Computer Interface Jobs in California

subsense

Test Engineer

Mountain View, CA · On-site

$120 - $140/hr

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 ...

Merge Labs

Senior Recruiter

San Francisco, CA · On-site

$120K - $200K/yr

We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and ...

csproviders

Neurology - Physician

Orange, CA

  • Medical

  • Dental

  • Vision

  • Retirement

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

csproviders

Neurology - Physician

Orange, CA

  • Medical

  • Dental

  • Vision

  • Retirement

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

Socket.dev

Digital Verification Engineer

South San Francisco, CA · On-site

$131 - $243/hr

  • Medical

  • Dental

  • Vision

  • Retirement

This position offers a rare and unique opportunity to have a high impact in realizing state-of-the-art brain-computer interfaces. The team delivers architecture and logic implementation of digital ...

New

Neuralink

Digital Verification Engineer

South San Francisco, CA · On-site

$131K - $243K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This position offers a rare and unique opportunity to have a high impact in realizing state-of-the-art brain-computer interfaces. The team delivers architecture and logic implementation of digital ...

Neuralink

Software Engineer, Next Gen

South San Francisco, CA · On-site

$151K - $281K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Subsense

Laboratory Technician, ICP-MS

Mountain View, CA

$75K - $90K/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 ...

Posted today

Neuralink

Digital Verification Engineer

South San Francisco, CA · On-site

$131K - $243K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This position offers a rare and unique opportunity to have a high impact in realizing state-of-the-art brain-computer interfaces. The team delivers architecture and logic implementation of digital ...

Neuralink

Software Engineer, Next Gen

South San Francisco, CA · On-site

$151K - $281K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Latent AI

Software Engineer, Next Gen

South San Francisco, CA · On-site

$113 - $188/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Team Description 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 ...

New

Epia Neuro

Staff Software Engineer

Alameda, CA

  • Medical

  • PTO

... brain-computer interface and a powered hand exoskeleton. You'll own the architecture and delivery of both applications, including real-time in-app data visualization of streaming neural data. The ...

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All JobsBrain Computer Interface JobsEntry Level Brain Computer Interface JobsEntry Level Brain Computer Interface Jobs in California

Entry Level Brain Computer Interface information

What is an entry level brain computer interface?

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 the key skills and qualifications needed to thrive as an entry level brain computer interface specialist?

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 are some common challenges faced by entry-level professionals working in brain-computer interface 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 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 August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Test Engineer

subsense

Mountain View, CA • On-site

$120 - $140/hr

Other

Posted 19 days ago

Job description

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 to unlock direct communication between the human brain and AI - starting with medical applications such as stroke recovery and moving toward cognitive enhancement for healthy users. Headquartered in Palo Alto, Subsense brings together leading scientists and engineers to redefine the future of human–machine interaction.

The Opportunity

We are looking for a hands-on Test Engineer to help build, validate, and improve the laboratory systems, instrumentation, and test workflows that support our breakthrough neurotechnology platform.

In this role, you will work at the intersection of hardware, software, data acquisition, and experimental science. You will develop and execute test plans, build automated and semi-automated test tools, validate hardware/software behavior, troubleshoot system issues, and help ensure that experimental platforms are reliable, repeatable, and ready to support fast-moving R&D.

You will partner closely with hardware, software, research, data science, and product teams to turn early prototypes into robust, usable test systems. This includes testing instrument control software, validating data acquisition pipelines, supporting hardware/software integration, documenting system performance, and improving confidence in experimental results through structured testing and validation.

Key Responsibilities
  • Design and build Python-based software to control, coordinate, monitor, and visualize signals from sophisticated laboratory hardware.
  • Design and build desktop user interfaces and internal tools to this end
  • Develop software abstraction layers over vendor SDKs, PyVISA/SCPI, serial, USB/Ethernet, DAQ systems, analog/digital I/O, and equipment-specific APIs.
  • Implement experiment orchestration software that coordinates multiple instruments, manages timing, handles triggers, and supports synchronized data acquisition.
  • Test and validate software used to control, coordinate, monitor, and visualize signals from sophisticated laboratory hardware.
  • Work with hardware engineers to define and document hardware/software interface specifications
  • Build reliable data acquisition and logging pipelines for raw signals, instrument state, metadata, calibration information, and experimental outputs in collaboration with data scientists/engineers.
  • Manage software environments, drivers, dependencies, and deployment across laboratory computers and hardware-connected systems.
  • Write tests, simulations, and validation tools to improve reliability, maintainability, and confidence in hardware/software behavior.
  • Troubleshoot issues spanning device communication, hardware integration, data acquisition, user interfaces, and experiment workflows.
  • Partner with hardware, research, data science, and product teams to turn early prototypes into robust, usable laboratory systems.
  • Help establish engineering patterns, documentation practices, and code quality standards as the team grows.
What You’ll Bring
  • Strong Python experience, especially in scientific, hardware-adjacent, or data acquisition contexts.
  • Experience building software for laboratory instruments, test systems, robotics, automation, imaging systems, embedded systems, or other hardware-integrated environments.
  • Familiarity with instrument communication and control patterns such as PyVISA/SCPI, serial communication, vendor SDKs, DAQ APIs, analog/digital I/O, TTL triggers, or hardware synchronization.
  • Experience building user interfaces for technical users, ideally with PyQt(Graph), PySide, Qt, or similar desktop GUI frameworks (e.g. ScopeFoundry).
  • Comfort working across the boundary between software, hardware, and data science, including debugging with incomplete documentation, ambiguous prototypes, and evolving system requirements.
  • Practical understanding of data acquisition, signal handling, timing, logging, metadata capture, and reproducible experiment workflows.
  • Ability to write maintainable, testable code and document systems clearly for both software and hardware collaborators.
  • Strong communication skills and ability to partner across hardware, research, data

$120,000 - $140,000 a year

Subsense is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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