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Entry Level Brain Computer Interface Jobs in Dublin, CA

Neuralink

CNC Machinist

South San Francisco, CA · On-site

$42.55 - $75.48/hr

The Machine Shop is a vital component of Neuralink's mission to develop the world's best and most manufacturable Brain-Computer Interface (BCI). Our team of skilled Machinists play a crucial role in ...

Merge Labs

Research Associate

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 ...

Neuralink

CNC Machinist

South San Francisco, CA · On-site

$42.55 - $75.48/hr

The Machine Shop is a vital component of Neuralink's mission to develop the world's best and most manufacturable Brain-Computer Interface (BCI). Our team of skilled Machinists play a crucial role in ...

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 ...

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All JobsBrain Computer Interface JobsEntry Level Brain Computer Interface JobsEntry Level Brain Computer Interface Jobs in Dublin, CA

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 Aug 19, 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 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:

Entry Level Brain Computer Interface jobs near you
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 - Protein Engineering

Merge Labs

San Francisco, CA • On-site

$120K - $215K/yr

Full-time

Re-posted 28 days ago

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 developingfundamentally 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:
Our Bio team designs, builds, and characterizes the biotechnologies that form the foundation of next-generation brain-computer interfaces. We combine molecular engineering, synthetic biology, neuroscience, and advanced physical methods such as ultrasound to establish less invasive, high-bandwidth connections with neurons. The Bio team develops our core molecular technologies, validates their performance in vitro and in vivo, and demonstrates their advanced capabilities in animal models. We build custom experimental setups and pipelines and collaborate closely with engineers and data scientists. 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 Protein Engineer in a BCI company, you will design, build, and optimize the key biomolecules that translate between the languages of cells and machines - turning neuronal activity at the molecular scale into interpretable signals and enabling precise modulation.
You'll work with unconventional proteins - from atypical biosensors and membrane proteins to complex, multi-component assemblies - and use your biophysical insights, high-throughput experimental methods, and close collaboration with our computational team to push the boundaries of what these molecules can do. Your work will set the molecular foundation for next-generation brain-computer interfaces.
In this role, you will:
  • Design and implement diverse protein engineering strategies - from rational design and computational modeling to directed evolution and combinatorial library - to build dynamic molecular systems with desirable properties.
  • Build and characterize protein variants at high throughput to test and iterate hypotheses rapidly and rigorously: implement and optimize scalable workflows from library generation, expression in various in vitro systems, to standard and custom assays.
  • Collaborate with our computational team to establish models linking sequences and structures to function, guide the generation of future constructs, and augment our intuition.
  • Explore the mechanisms behind complex biomolecules and translate that understanding into creative, out-of-the-box designswith the support of our biochemists, structural biologists, and computational teams.
  • Develop novel screening and validation methods to further accelerate the entire design-build-iterate loop and ensure a smooth transition toward in vivo applications.

You might thrive in this role if you:
  • Have a PhD in Bioengineering, Biophysics, Biochemistry, or a related field, or have equivalent experience leading research projects end-to-end.
  • Are proficient in library construction, protein expression in mammalian cells, and standard characterization.
  • Are comfortable using computational approaches for protein engineering and understand the fundamental principles involved.
  • Think mechanistically: you are motivated by understanding how things work, not just that they work.
  • Enjoy working with dynamic, multi-state proteins and/or complex protein assemblies.
  • Feel joy in collaboration and communicate naturally with experts across disciplines.
  • Are energized by 0->1 innovations and always on the lookout for creative ways to do better.
  • Want to be part of a fast-paced team working on frontier scientific and technical problems.

Nice to have
  • Experience with engineering multi-state proteins, membrane proteins, and multi-component protein assemblies.
  • Experience with protein expression in primary neurons, brain organoids, or brain tissues.
  • Experience with large-scale screening.
  • Experience with creative assay development.
  • Familiarity with machine learning or data-driven design approaches.

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team.
For more information about hiring at Merge, please visit our Hiring FAQ
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.

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