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

SupportFinity™

Staff Neuroscientist

Santa Clara, CA · On-site

$140 - $230/hr

About Precision Neuroscience Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our first ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

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 ...

Merge Labs

Scientist - In Vivo Operations

San Francisco, CA · On-site

$120K - $165K/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 ...

Latent AI

Software Engineer, BCI Applications

Fremont, CA · On-site

$138 - $269/hr

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, and robotic arms with their ...

Neuralink

CNC Machinist

South San Francisco, CA

$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 ...

Slope

Data Scientist, Bioengineering

San Francisco, CA · On-site

$150 - $210/hr

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

Zyphra

Principal Solutions Architect

San Francisco, CA · On-site

Serving as the primary technical advisor to strategic partners and customers across Zyphra's full AI model portfolio: including language, vision, audio, brain computer interface and agentic systems ...

Merge

Data Scientist, Bioengineering

San Francisco, CA · On-site

$140 - $230/hr

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

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All JobsBrain Computer Interface JobsBrain Computer Interface Jobs in Stanford, CA

Brain Computer Interface information

See Stanford, CA salary details

$13

$64

$91

How much do brain computer interface jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for brain computer interface in Stanford, CA is $64.55, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $73.41 per hour, depending on experience, location, and employer.

What is a brain computer interface?

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 the key skills and qualifications needed to thrive in the brain computer interface position?

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 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 job categories do people searching Brain Computer Interface jobs in Stanford, CA look for?

The top searched job categories for Brain Computer Interface jobs in Stanford, CA are:

What cities near Stanford, CA are hiring for Brain Computer Interface jobs?

Cities near Stanford, CA with the most Brain Computer Interface job openings:

Brain Computer Interface jobs near you
Infographic showing various Brain Computer Interface job openings in Stanford, CA as of August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 50% In-person, 17% Hybrid, and 33% Remote job distribution, with an average salary of $134,257 per year, or $64.5 per hour.

Research Associate - Immunotolerization

Merge Labs

San Francisco, CA • On-site

$95K - $120K/yr

Full-time

Posted 10 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 Research Associate, Immunotolerization, you will help build the systems used to understand and control how novel proteins are seen by the immune system. You'll execute the experimental work that establishes quantitative readouts of immunogenicity and directly support our de-immunization efforts across core molecular technologies. Your work will feed directly into how we design proteins that are compatible with the human immune system, enabling durable, safe, and scalable brain-computer interfaces.
In this role, you will:
  • Execute assays that characterize the immunogenicity of engineered proteins, generating quantitative readouts of immune processing, presentation, and recognition in in vitro models.
  • Help scale and run high-throughput immune characterization workflows to enable rapid hypothesis testing and iteration.
  • Maintain accurate lab records, inventories, and shared resources.
  • Analyze and present data to help guide experimental design.
  • Learn new techniques and collaborate across scientific disciplines.

You might thrive in this role if you have:
  • A BS, BA, or MS in Immunology, Biology, Biochemistry, Bioengineering, or a related field.
  • Hands-on experience in one or more of the following: mammalian cell culture, in vitro immune/cell-based assays, molecular cloning.
  • Strong expertise in (or eagerness to build expertise) the mechanisms that govern antigen processing and immune recognition.
  • Strong attention to detail and comfort with the documentation rigor that reproducible data requires.
  • A collaborative, organized approach to experimental work and data integrity.
  • Prior experience in an academic or industry research lab.
  • The desire to be part of a fast-paced team working on frontier scientific and technical problems.

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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