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Neural Engineering Jobs in California (NOW HIRING)

Oura

Senior Algorithm Scientist

San Francisco, CA

$107K - $147K/yr

PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field * 3+ years of ...

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How much do neural engineering jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for neural engineering in California is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
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What cities in California are hiring for Neural Engineering jobs? Cities in California with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in California as of August 2026, with employment types broken down into 6% Internship, 77% Full Time, and 17% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $39,648 per year, or $19.1 per hour.

Software Engineer, Next Gen

Neuralink

South San Francisco, CA • On-site

Other

Re-posted 4 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. 

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 medical 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

Apply