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Brain Machine Interface Jobs (NOW HIRING)

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$134.80K/yr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface ...

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$116K - $233.80K/yr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface ...

Neuralink

IACUC Administrator

Austin, TX · On-site

This role ensures the ethical and regulatory compliance of all animal research activities supporting the development of Neuralink's brain-machine interfaces. Responsibilities include: * Provide ...

Neuralink

IACUC Administrator

Austin, TX · On-site

$26.92 - $44.71/hr

This role ensures the ethical and regulatory compliance of all animal research activities supporting the development of Neuralink's brain-machine interfaces. Responsibilities include: * Provide ...

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How much do brain machine interface jobs pay per hour?

As of May 29, 2026, the average hourly pay for brain machine interface in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is a Brain Machine Interface job?

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 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 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.
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Brain Machine Interface jobs near you
Infographic showing various Brain Machine Interface job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Mechanical Engineering Intern, Robotics

Mechanical Engineering Intern, Robotics

Neuralink

South San Francisco, CA • On-site

$35/hr

Other

Posted 22 days ago

Job description

Team Description:

The Robotics & Surgery Engineering Team is developing our next-generation surgical platform to facilitate bringing our cutting-edge brain implant to more of those in need. We're working on driving surgery time and invasiveness down, while pushing safety and accuracy to their maximums.

Job Description and Responsibilities:

As a Mechanical Engineering Intern at Neuralink, you will have the opportunity to design and produce hardware solutions for our brain-machine interface devices, including surgical robotics, automation, microfabrication, and more. You will get to own projects from concept to production, utilizing your mechanical engineering background in the challenging field of brain-machine interfaces. The role involves collaboration with neuroscientists, biologists, and engineers to determine design criteria and build systems quickly and effectively.

Required Qualifications:

  • 6+ months experience of in the application of technical skills outside of the classroom (examples depending on the role: laboratory, research, extracurricular project teams, open source contributions, volunteering, personal projects or prior internship/work experience)
  • Strong understanding of engineering first principles

Preferred Qualifications: 

  • 1+ years of mechanical engineering industry experience, including owning products from concept to production
  • Proficiency in Solidworks or similar CAD program
  • Experience with conventional machining and rapid prototyping technologies
  • Experience with precision design and manufacturing
  • Experience with advanced imaging techniques

Additional Requirements and Competencies:

  • Resourceful, flexible and adaptable; no task is too big or too small
  • You find large challenges exciting and enjoy discovering and defining problems as much as solving them
  • You deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a manufacturable solution that works every time
  • You are a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, biological engineers, and neuroscientists. You are comfortable communicating across teams

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

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