... 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 ...
... 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 ...
Your responsibilities may also include working on our brain-computer interface devices, surgical ... Proficiency with conventional machining and rapid prototyping technologies
Your responsibilities may also include working on our brain-computer interface devices, surgical ... Proficiency with conventional machining and rapid prototyping technologies
R&D Materials Engineer Intern
South San Francisco, CA · On-site
$35/hr
... 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 ...
R&D Materials Engineer Intern
South San Francisco, CA · On-site
$35/hr
... 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 ...
Staff/Principal Machine Learning Engineer
Alameda, CA · On-site
$180 - $260/hr
The Role We have a strong research group driving early brain-computer-interface (BCI) algorithm development. We are looking for someone with deep, hands‑on BCI machine learning (ML) expertise to ...
Staff/Principal Machine Learning Engineer
Alameda, CA · On-site
$180 - $260/hr
The Role We have a strong research group driving early brain-computer-interface (BCI) algorithm development. We are looking for someone with deep, hands‑on BCI machine learning (ML) expertise to ...
Software Engineer
San Francisco, CA · On-site
... brain-computer interfaces Qualifications : Required : • 5+ years of production software ... Preferred : • Experience developing internal libraries, SDKs, or tooling that powers machine ...
Software Engineer
San Francisco, CA · On-site
... brain-computer interfaces Qualifications : Required : • 5+ years of production software ... Preferred : • Experience developing internal libraries, SDKs, or tooling that powers machine ...
Staff Machine Learning Engineer (San Francisco)
San Francisco, CA · On-site
$400K/yr
... brain-computer interface (BCI) platform. This is an opportunity to join a team of world-renowned ... Machine learning pioneers with publications in NeurIPS, ICML, and Nature journals * Seasoned ...
Staff Machine Learning Engineer (San Francisco)
San Francisco, CA · On-site
$400K/yr
... brain-computer interface (BCI) platform. This is an opportunity to join a team of world-renowned ... Machine learning pioneers with publications in NeurIPS, ICML, and Nature journals * Seasoned ...
Mechanical Engineer, Robotics (CONVOY)
South San Francisco, CA · On-site
$90K - $226K/yr
We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Proficiency with conventional machining and rapid prototyping technologies Expected Compensation:
Mechanical Engineer, Robotics (CONVOY)
South San Francisco, CA · On-site
$90K - $226K/yr
We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Proficiency with conventional machining and rapid prototyping technologies Expected Compensation:
... interface of artificial intelligence and biology, working to accelerate scientific progress and ... Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo ...
... interface of artificial intelligence and biology, working to accelerate scientific progress and ... Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo ...
... interface of artificial intelligence and biology, working to accelerate scientific progress and ... Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo ...
... interface of artificial intelligence and biology, working to accelerate scientific progress and ... Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo ...
Computational Neuroscientist
San Francisco, CA · On-site
$120K - $160K/yr
... from the brain, entirely non-invasively. We apply deep learning research to large scale EEG ... Our goal is to develop a general consumer interface to completely transform how we can live our ...
Computational Neuroscientist
San Francisco, CA · On-site
$120K - $160K/yr
... from the brain, entirely non-invasively. We apply deep learning research to large scale EEG ... Our goal is to develop a general consumer interface to completely transform how we can live our ...
Vice President of Market Access
Santa Clara, CA · On-site
$200 - $250/hr
... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... Our team brings together experts in neurosurgery, AI and machine learning, microfabrication ...
Vice President of Market Access
Santa Clara, CA · On-site
$200 - $250/hr
... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... Our team brings together experts in neurosurgery, AI and machine learning, microfabrication ...
... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... Our team brings together experts in neurosurgery, AI and machine learning, microfabrication ...
... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... Our team brings together experts in neurosurgery, AI and machine learning, microfabrication ...
ML Research Scientist - Computational Biophysics
San Francisco, CA · On-site
$200K - $270K/yr
We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces ... Experience bridging machine learning and experimental science-working with sparse, noisy, and or ...
ML Research Scientist - Computational Biophysics
San Francisco, CA · On-site
$200K - $270K/yr
We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces ... Experience bridging machine learning and experimental science-working with sparse, noisy, and or ...
... machine learning frameworks (PyTorch, Sci-Py, Scikit-Learn). • Extensive experience using ... brain-computer interfaces. Founded in 2023, the company is headquartered in San Francisco, USA ...
... machine learning frameworks (PyTorch, Sci-Py, Scikit-Learn). • Extensive experience using ... brain-computer interfaces. Founded in 2023, the company is headquartered in San Francisco, USA ...
Nanoscientist
Mountain View, CA · On-site
$110K - $130K/yr
... surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric ... machine interaction. The Opportunity We're seeking an early career Nanoscientist to join our ...
Nanoscientist
Mountain View, CA · On-site
$110K - $130K/yr
... surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric ... machine interaction. The Opportunity We're seeking an early career Nanoscientist to join our ...
Nanoscientist
Mountain View, CA · On-site
$110K - $130K/yr
... surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric ... machine interaction. The Opportunity We're seeking an early career Nanoscientist to join our ...
Quick apply
Nanoscientist
Mountain View, CA · On-site
$110K - $130K/yr
... surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric ... machine interaction. The Opportunity We're seeking an early career Nanoscientist to join our ...
Software Engineer, Next Gen
South San Francisco, CA · On-site
$151K - $281K/yr
... 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 ...
Software Engineer, Next Gen
South San Francisco, CA · On-site
$151K - $281K/yr
... 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 ...
... 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 ...
... 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 ...
Software Engineer
San Francisco, CA · On-site
$140K - $200K/yr
... brain-computer interfaces. You might be a good fit if you * Have 5+ years of production software ... Experience developing internal libraries, SDKs, or tooling that powers machine learning and ...
Software Engineer
San Francisco, CA · On-site
$140K - $200K/yr
... brain-computer interfaces. You might be a good fit if you * Have 5+ years of production software ... Experience developing internal libraries, SDKs, or tooling that powers machine learning and ...
Senior Electrical Engineer
Palo Alto, CA · On-site
$75 - $95/hr
... brain-computer interface (BCI) technology, enabling real-time interaction between the human brain and AI. Their goal is to create a direct connection between mind and machine through an EEG-powered ...
Senior Electrical Engineer
Palo Alto, CA · On-site
$75 - $95/hr
... brain-computer interface (BCI) technology, enabling real-time interaction between the human brain and AI. Their goal is to create a direct connection between mind and machine through an EEG-powered ...
Brain Machine Interface information
See California salary details
$13.76 - $15.29
3% of jobs
$15.29 - $16.82
7% of jobs
$16.82 - $18.35
6% of jobs
$19.50 is the 25th percentile. Wages below this are outliers.
$18.35 - $19.88
11% of jobs
$19.88 - $21.42
13% of jobs
The median wage is $22.23 / hr.
$21.42 - $22.95
18% of jobs
$22.95 - $24.48
16% of jobs
$24.57 is the 75th percentile. Wages above this are outliers.
$24.48 - $26.01
9% of jobs
$26.01 - $27.54
6% of jobs
$27.54 - $29.07
7% of jobs
$29.07 - $30.60
3% of jobs
$13
$22
$30
How much do brain machine interface jobs pay per hour?
As of Aug 7, 2026, the average hourly pay for brain machine interface in California is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.14 per hour, depending on experience, location, and employer.
What are the typical daily responsibilities of someone working in a brain machine interface position?
Professionals in Brain Machine Interface roles usually divide their time between designing experiments, analyzing neural data, developing and testing interface prototypes, and collaborating with cross-disciplinary teams such as neuroscientists, engineers, and clinicians. They may also be involved in writing technical documentation, participating in regulatory compliance activities, and keeping up with the latest scientific literature. Depending on the project, work can flow between laboratory research and computational tasks, requiring flexibility and an eagerness to learn new techniques. The environment is often collaborative and research-focused, providing ample opportunities to contribute to exciting advancements in neurotechnology.
What are the key skills and qualifications needed to thrive in the brain machine interface position, and why are they important?
To thrive in a Brain Machine Interface (BMI) role, you need a strong background in neuroscience, biomedical engineering, computer science, or a related field, often supported by advanced degrees or specialized training. Proficiency with signal processing software (such as MATLAB or Python), brain imaging tools, and hardware prototyping is typically required, along with familiarity with regulatory standards. Strong problem-solving skills, collaboration, and attention to detail help individuals excel in multi-disciplinary teams working at the intersection of biology and technology. These competencies are crucial for developing safe, effective interfaces and driving innovation in this fast-evolving field.
What is a brain machine interface?
A Brain Machine Interface (BMI) job involves developing technologies that connect the human brain with computers or external devices. Professionals in this field work on designing, testing, and improving neural interfaces to restore lost sensory or motor functions, enhance cognitive abilities, or enable direct brain communication with machines. Roles may include neuroscientists, engineers, and software developers collaborating to advance BMI applications in healthcare, assistive technology, and neuroprosthetics.
What are the most commonly searched types of Brain Machine Interface jobs in California? The most popular types of Brain Machine Interface jobs in California are:
What are popular job titles related to Brain Machine Interface jobs in California? For Brain Machine Interface jobs in California, the most frequently searched job titles are:
What job categories do people searching Brain Machine Interface jobs in California look for? The top searched job categories for Brain Machine Interface jobs in California are:
What cities in California are hiring for Brain Machine Interface jobs? Cities in California with the most Brain Machine Interface job openings:
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.
Join Neuralink's Next-Gen team to help push the boundaries of what's possible in brain-computer interfaces.
Job Description and Responsibilities:
As an R&D Materials Engineer intern, you'll interact with technical teams across the company to develop new ideas, materials, and processes that drive our next generation of implants forward. You'll work closely with scientists and engineers to explore innovative concepts, perform rigorous benchtop testing, troubleshoot experimental setups, and analyze results. 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. You must thrive in an intense, mission-driven, and collaborative environment. Additionally, you will:
- Contribute to the development of next-generation microelectrode materials, partnering with the microfabrication team to bring concepts from idea to hardware
- Develop novel solutions for electrode-tissue interfaces to enhance electrode sensitivity and interface longevity
- Perform materials characterization and surface chemistry experiments on candidate materials and implant components
- Design and fabricate custom test fixtures to enable new experiments
- Execute on established protocols and independently design new experiments as the project demands
- Troubleshoot, iterate, and communicate findings clearly to the team
Required Qualifications:
- Evidence of exceptional ability in Materials Engineering, Chemical Engineering, Biomedical Engineering, Chemistry, or a related field
- 2+ years of academic or industry experience
- Strong understanding of the scientific method and engineering first principles
- Strong organizational skills and exceptional attention to detail
- Experience with chemical handling and safe lab practices
- Outstanding communication skills; thrives in an interdisciplinary environment
Preferred Qualifications:
- Proficiency in SolidWorks or other CAD software
- Familiarity and experience with surface characterization techniques (e.g., contact angle, FTIR, XPS, AFM)
- Experience with microscopy
- Experience with electrochemistry
Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Flat Rate:
$35/Hr USD
About NEURALINK
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
201 - 500 Employees
Headquarters location
San Francisco, CA, US
Year founded
2016