2

Entry Level Brain Computer Interface Jobs in Dublin, CA

Research Associate

Alameda, CA · On-site

$100 - $125/hr

We are looking for an In Vivo Research Associate enthusiastic about developing new therapeutics on the interface of regenerative medicine and brain-computer interfaces. Candidates can look forward to ...

New

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 ...

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

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

Automation Engineer

San Francisco, CA · 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 ...

Facilities Operations

San Francisco, CA · 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 ...

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

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

... interfaces, scheduling algorithms, data pipelines, computer vision, signal processing, cloud ... Entry-level software engineers are expected to bring significant skills and training, and then to ...

Showing results 41-60

Entry Level Brain Computer Interface information

See Dublin, CA salary details

$33.2K

$112.9K

$272K

How much do entry level brain computer interface jobs pay per year?

As of Sep 9, 2026, the average yearly pay for entry level brain computer interface in Dublin, CA is $112,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $119,400.00 per year, depending on experience, location, and employer.

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 job categories do people searching Entry Level Brain Computer Interface jobs in Dublin, CA look for?

The top searched job categories for Entry Level Brain Computer Interface jobs in Dublin, CA are:

What cities near Dublin, CA are hiring for Entry Level Brain Computer Interface jobs?

Cities near Dublin, CA with the most Entry Level Brain Computer Interface job openings:

Infographic showing various Entry Level Brain Computer Interface job openings in Dublin, CA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $112,919 per year, or $54.3 per hour.

Scientist - Ultrasound-Mediated Gene Delivery

San Francisco, CA • On-site

$150 - $200/hr

Other

Posted 21 days ago


Key responsibilities

  • Develop preclinical gene delivery approaches using focused ultrasound paired with viral and non-viral delivery technologies.

  • Systematically optimize focused ultrasound parameters against each delivery vehicle to maximize expression, spatial precision, and safety.

  • Design, run, and interpret in vivo experiments, iterating rapidly from data to the next round of optimization.


Job description

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We’re pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.

About the team

The Delivery team develops the viral and non-viral delivery technologies that enable Merge’s next-generation neurotechnology platform. By partnering closely with bioengineering, neuroscience, and in vivo teams, we create delivery systems that support rapid preclinical testing while advancing the platform toward safe and effective human translation. We work across disciplines to come up with creative ideas and solve some of the most challenging problems in biotechnology.

About the role

As a Scientist in the Delivery team, you will engineer and validate gene delivery approaches to enable the expression and function of novel molecular biosensors and actuators of neural activity in preclinical models. Your work will serve as the critical bridge between molecular engineering and in vivo functionality and enable the ultimate clinical translation of molecular BCI. You will optimize the design of experimental conditions for focused ultrasound (FUS)-mediated delivery as a spatially targeted, non-invasive route to the brain, tuning acoustic parameters against the delivery vehicles best matched to it. You will collaborate closely with protein engineers, cell and synthetic biologists, machine learning engineers, physicists and neurobiologists.

In this role, you will:
  • Develop preclinical gene delivery approaches using focused ultrasound paired with viral and non-viral delivery technologies.
  • Systematically optimize focused ultrasound parameters against each delivery vehicle to maximize expression, spatial precision, and safety.
  • Collaborate with teams building the assays and readouts needed to quantify delivery, expression, and tolerability in brain tissue.
  • Design, run, and interpret in vivo experiments, iterating rapidly from data to the next round of optimization.
  • Evaluate emerging delivery technologies and help shape the team's longer-term delivery strategy.
You might thrive in this role if you have:
  • A Ph.D. or equivalent experience leading research projects end-to-end in bioengineering, neuroscience, cell biology, molecular biology or a related field.
  • Prior hands‑on experience using focused ultrasound (FUS) to deliver genes to the brain in preclinical models.
  • Demonstrated expertise in developing or optimizing gene delivery modalities.
  • Developed and used methods to evaluate gene delivery and expression in brain tissues.
  • Optimized focused ultrasound parameters to achieve specific expression goals.
  • Worked on a delivery‑related problem that is unusual or complex and loved it.
  • Fun working on multidisciplinary teams, collaborating and communicating with experts across disciplines.
  • The desire to be part of a fast‑paced team working on frontier scientific and technical problems.
Nice to have:
  • Expertise in non-viral delivery modalities.
  • Experience sourcing, evaluating, or in‑licensing delivery technologies through external collaboration.
  • Experience working with large animal models.

Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status. It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors. We are an equal opportunity employer.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@merge.io.

#J-18808-Ljbffr