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Brain Computer Interface Jobs in Berkeley, CA (NOW HIRING)

The Materials Engineering Team at Neuralink develops and qualifies high-performance, biocompatible materials for next-generation brain-computer interfaces. The team owns material characterization ...

Materials Engineer

South San Francisco, CA ยท On-site

$113K - $209K/yr

The Materials Engineering Team at Neuralink develops and qualifies high-performance, biocompatible materials for next-generation brain-computer interfaces. The team owns material characterization ...

Facilities Operations

San Francisco, CA ยท On-site

$95K - $120K/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 ...

Automation Engineer

San Francisco, CA ยท On-site

$165K - $260K/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 ...

IT Systems Engineer

San Francisco, CA ยท On-site

$120K - $215K/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 ...

UI Design Engineer

South San Francisco, CA ยท On-site

$135K - $281K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Bachelor's degree in Computer Science, Human-Computer Interaction, or related field; or equivalent ...

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Brain Computer Interface information

See Berkeley, CA salary details

$14

$67

$95

How much do brain computer interface jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for brain computer interface in Berkeley, CA is $67.26, according to ZipRecruiter salary data. Most workers in this role earn between $58.85 and $76.54 per hour, depending on experience, location, and employer.

What is a Brain Computer Interface job?

A Brain-Computer Interface (BCI) job involves developing systems that enable direct communication between the brain and external devices. Professionals in this field work on hardware and software to interpret neural signals, often for medical, assistive, or neurotechnology applications. Roles can include research, software engineering, signal processing, and machine learning to improve BCIs' accuracy and functionality. These jobs are common in healthcare, neuroscience, gaming, and AI-driven human augmentation industries.

What are some common challenges faced by professionals working in Brain Computer Interface roles?

Professionals in Brain Computer Interface roles often face challenges related to accurately interpreting complex neural signals, minimizing noise in data, and ensuring that BCI systems are intuitive for end-users. They frequently collaborate with neuroscientists, engineers, software developers, and clinicians to overcome technical and usability barriers. Balancing research innovation with real-world applicability can be demanding, and staying current with rapidly advancing technology is essential. These challenges make the field dynamic and rewarding for those passionate about shaping the future of human-computer interaction.

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

To thrive in a Brain Computer Interface role, you typically need a strong background in neuroscience, biomedical engineering, or computer science, coupled with experience in signal processing and neural data analysis. Familiarity with tools such as MATLAB, Python, EEG/MEG systems, and relevant certifications in neurotechnology are highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential for working on multidisciplinary teams and translating research into practical applications. These skills ensure that you can design, develop, and refine advanced BCI systems that meet both technical and user needs in this rapidly evolving field.

What are popular job titles related to Brain Computer Interface jobs in Berkeley, CA? For Brain Computer Interface jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Brain Computer Interface jobs in Berkeley, CA look for? The top searched job categories for Brain Computer Interface jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Brain Computer Interface jobs? Cities near Berkeley, CA with the most Brain Computer Interface job openings:
Infographic showing various Brain Computer Interface job openings in Berkeley, CA as of July 2026, with employment types broken down into 6% As Needed, 61% Full Time, 29% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $139,911 per year, or $67.3 per hour.
Software Engineer, Next Gen

Software Engineer, Next Gen

Neuralink

South San Francisco, CA โ€ข On-site

Other

Re-posted 14 days ago


Job description

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 interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products.ย 

Job Description and Responsibilities:

As a Software Engineer, you will write, test and deploy software that interacts with our neural interfaces and other data acquisition systems to decode and modulate brain activity. We are looking for hands-on engineers who are excited to own the end-to-end engineering of next-generation software systems for the control of neural stimulation, visual prosthesis (Blindsight) and medicalย imaging data pipelines. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency. The job responsibilities will include:

  • Developing, validating, testing, and deploying software systems
  • Writing algorithms to decode and modulate neural activity
  • Designing user experiences centered around neural control of devices
  • Mentoring others in achieving engineering excellence through code review, design review, and technical presentations
  • Presenting results in a collaborative setting
  • Working with neuroengineers and animal training specialists to support research sessions

Required Qualifications:

  • Bachelor's degree in computer science, a related field, or equivalent work experience
  • Fluent in modern high-performance backend languages (Python, Golang, C++, RUST)
  • HW/SW debugging skills with lab equipment
  • A strong understanding of engineering first principles
  • You are mission-driven and goal-oriented in your approach to solving problems
  • You are resourceful, flexible, and adaptable; no task is too big or too small
  • Excellent communication and collaboration skills

Preferred Qualifications:

  • Hands-on experience writing software that interacts with hardware such as robotics, control theory, human-robot interaction, or real-time systems
  • Working knowledge of compiled and system languages, ideally C/C++ or Rust
  • Experience developing software for macOS or iOS, in Objective-C/Swift

About You:

  • You find large challenges exciting and enjoy discovering and defining problems as much as solving them.
  • You deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering reliable solutions.
  • You are a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, and neural engineers
  • You are comfortable communicating across teams
  • You feel a sense of urgency to get things done sooner rather than later
  • Resourceful, flexible and adaptable; no task is too big or too small
  • You are comfortable working closely with animals in a research environment