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Neural Engineering Jobs in Berkeley, CA (NOW HIRING)

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

Our team consists of scientists and engineers, working closely together to define the engineering ... Investigate and map neural correlates of sensory and internally-generated states. * Build and ...

Open Orion

Head of AI

San Francisco, CA · On-site

... neural networks on meshes • Contributions to open-source scientific computing or CAD/CAE projects • Aerospace, mechanical, or civil engineering domain knowledge Company : Founded in , the company ...

Open Orion

ML Engineer

San Francisco, CA · On-site

... engineering habits you write code that other people can read, test, and build on Preferred : • Experience with 3D deep learning point clouds, implicit representations, graph neural networks • ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

Our team consists of scientists and engineers, working closely together to define the engineering ... Investigate and map neural correlates of sensory and internally-generated states. * Build and ...

The Walt Disney Company

Sr Staff R&D Engineer

Nicasio, CA

$206K - $276K/yr

... neural vocoders, latent diffusion models, and advanced retraining workflows. As a core member of ... Collaborate with product, platform, and engineering leads to define integration strategies within a ...

Alljoined

Software Engineer

San Francisco, CA · On-site

... datasets and supporting neural decoding technology alongside world-class researchers ... Required : • 5+ years of production software engineering experience with deep expertise in Python ...

femtoAI

Hardware Engineer

San Bruno, CA · On-site

$147K - $194K/yr

As a Hardware Engineer, you will join femtoAI's hardware team to help design and build our novel neural network accelerator. Working in a small, highly collaborative group, you will contribute ...

Neuralink

Neuroengineer, Next Gen

South San Francisco, CA · On-site

$122K - $226K/yr

... neural activity, for example using the NEURON modeling environment * Experience modeling electric fields using finite element modeling (FEM) * Experience building and programming experimental ...

Neuralink

Neuroengineer, Next Gen

South San Francisco, CA · On-site

$122K - $226K/yr

... neural activity, for example using the NEURON modeling environment * Experience modeling electric fields using finite element modeling (FEM) * Experience building and programming experimental ...

Alembic

Senior Applied AI Engineer

San Francisco, CA · On-site

$211K - $235K/yr

... neural systems our science team builds - and your job is to make them fast, reliable, and usable in production. If you're looking for prompt engineering or LLM fine-tuning work, this isn't the role.

quadric, Inc

AI Inference Engineer

Burlingame, CA

$110K - $270K/yr

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture ... Bachelor's or Master's in Computer Science and/or Electric Engineering. * 5+ years of experience in ...

quadric, Inc

AI Inference Engineer

Burlingame, CA · On-site

$110K - $270K/yr

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture ... Bachelor's or Master's in Computer Science and/or Electric Engineering. * 5+ years of experience in ...

quadric, Inc

AI Applications Engineer

Burlingame, CA · On-site

$110K - $270K/yr

Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a ... This California Bay Area based engineering role is intended to be primarily in-office at our ...

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All JobsNeural Engineering JobsNeural Engineering Jobs in Berkeley, CA

Neural Engineering information

See Berkeley, CA salary details

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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 Berkeley, CA is $23.65, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.62 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 are popular job titles related to Neural Engineering jobs in Berkeley, CA? For Neural Engineering jobs in Berkeley, CA, the most frequently searched job titles are:
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What cities near Berkeley, CA are hiring for Neural Engineering jobs? Cities near Berkeley, CA with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Berkeley, CA as of August 2026, with employment types broken down into 5% Internship, 79% Full Time, and 16% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $49,191 per year, or $23.6 per hour.

Neuroengineer Intern

Neuralink

South San Francisco, CA • On-site

$35/hr

Other

Re-posted 22 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. As a Neuroengineer Intern on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. 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. 

Job Description and Responsibilities:

  • Investigate and map neural correlates of sensory and internally-generated states.
  • Build and iterate on advanced machine learning architectures to map neural activity to complex, multi-dimensional outputs.
  • Design, execute, interpret, and communicate the results of experiments, ranging from non-human primate (NHP) electrophysiology to human fMRI studies.
  • Present results in a fast-paced, highly collaborative setting.

Required Qualifications: 

  • Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field
  • 2+ years of academic or industry experience
  • A strong understanding of the scientific method and engineering first principles
  • Fluency with Python for data analysis

Preferred Qualifications: 

  • Experience with modern machine learning, including LLMs, LLM interpretability, and generative models.
  • Expertise in analyzing neural population dynamics and applying manifold analysis techniques to high-dimensional neural data.
  • Strong background in neural decoding, particularly in the domains of movement or speech.
  • Experience with human fMRI experimental design, execution, and fMRI data analysis.
  • Experience with in-vivo electrophysiology, particularly awake-behaving recordings in non-human primates (NHP), and/or closed-loop brain-computer interfaces.

Pay Transparency:

Based on California law, the following details are for California individuals only.

California Hourly Rate: 
$35/Hr USD

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