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Entry Level Brain Machine Interface Jobs (NOW HIRING)

Ducommun

Machine Operator

Santa Clarita, CA · On-site

$17.25 - $20.50/hr

... Machine Interface, Motion Control Device, andRadio Frequency (RF) product lines. Why Ducommun ... Basic mechanical aptitude, entry level * Work Environment and Safety Equipment Required Equal ...

Ducommun

Machine Operator

Santa Clarita, CA

$17.25 - $20.50/hr

... Machine Interface, Motion Control Device, andRadio Frequency (RF) product lines. Why Ducommun ... Basic mechanical aptitude, entry level * Work Environment and Safety Equipment Required Equal ...

New

Ducommun, Inc.

Machine Operator

Santa Clarita, CA

$17.25 - $20.50/hr

... Machine Interface, Motion Control Device, andRadio Frequency (RF) product lines. Why Ducommun ... Basic mechanical aptitude, entry level * Work Environment and Safety Equipment Required Equal ...

New

Neuralink

IACUC Administrator

Austin, TX

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 entry level brain machine interface jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level brain machine interface in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Brain Machine Interface (BMI) Engineer, and why are they important?

To thrive as an Entry Level Brain Machine Interface Engineer, you typically need a background in biomedical engineering, neuroscience, computer science, or a related field, along with foundational knowledge in signal processing and neural data analysis. Familiarity with programming languages such as Python or MATLAB, experience with EEG or similar neurotechnology systems, and sometimes basic hardware prototyping are important technical skills. Strong problem-solving abilities, attention to detail, and collaborative communication help you excel in multidisciplinary teams. These skills ensure you can contribute effectively to the development and optimization of BMI technologies that require precision, innovation, and teamwork.

What types of projects or tasks can an Entry Level Brain Machine Interface specialist expect to work on in the first year?

As an Entry Level Brain Machine Interface (BMI) specialist, you can expect to be involved in tasks like assisting with data collection from neural devices, preprocessing and analyzing neural signals, and supporting the development or testing of BMI software and hardware. You'll often work closely with multidisciplinary teams, including neuroscientists, engineers, and software developers, to contribute to ongoing research or product development. Early responsibilities might also include literature reviews, troubleshooting experimental setups, and helping manage lab equipment. This hands-on experience provides a strong foundation for advancing into more specialized roles as you gain expertise.

What are entry level brain machine interface jobs?

Entry level brain machine interface (BMI) jobs are positions for individuals starting their careers in the field of brain-computer or brain-machine interfaces. These roles typically involve assisting with research, data collection, analysis, and supporting the development of technologies that connect the brain with external devices. Candidates often have backgrounds in neuroscience, biomedical engineering, computer science, or related fields. Responsibilities may include running experiments, processing neural data, developing software, or supporting hardware integration. These positions provide foundational experience for advancing in the rapidly growing BMI industry.

What is the difference between Entry Level Brain Machine Interface vs Entry Level Neural Engineer?

AspectEntry Level Brain Machine InterfaceEntry Level Neural Engineer
Required CredentialsBachelor's in neuroscience, engineering, or related field; basic understanding of signal processingBachelor's or master's in neuroscience, biomedical engineering, or related; knowledge of neural systems
Work EnvironmentResearch labs, tech companies, healthcare settingsResearch institutions, biotech firms, healthcare facilities
Industry UsageDeveloping brain-computer interfaces, neuroprostheticsDesigning neural interfaces, analyzing neural data

While both roles involve working with neural data and technologies, Entry Level Brain Machine Interface focuses on developing and implementing brain-computer interfaces, whereas Entry Level Neural Engineer emphasizes designing neural systems and analyzing neural signals. Both require a background in neuroscience or engineering and are common in research and tech industries.

What are the most commonly searched types of Brain Machine Interface jobs? The most popular types of Brain Machine Interface jobs are:
What states have the most Entry Level Brain Machine Interface jobs? States with the most job openings for Entry Level Brain Machine Interface jobs include:
Entry Level Brain Machine Interface jobs near you
Mechanical Engineering Intern, Robotics

Mechanical Engineering Intern, Robotics

Neuralink

South San Francisco, CA

$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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