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Entry Level Brain Machine Interface Jobs (NOW HIRING)

Materials Engineer

Cambridge, MA · On-site

$80 - $100/hr

Summary Axoft is building the most advanced infrastructure for implantable brain-machine interfaces. Our mission is to enable long-term stable and ultra-high bandwidth communication with the brain ...

Machine Operator

Santa Clarita, CA · On-site

$17.25 - $20.50/hr

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

Machine Operator

Santa Clarita, CA · On-site

$17.25 - $20.50/hr

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

Machine Operator

Santa Clarita, CA · On-site

$17.25 - $20.50/hr

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

Machine Operator

Santa Clarita, CA · On-site

$17.25 - $20.50/hr

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

Job Summary We are seeking a post-doctoral fellow to conduct research on novel brain machine interface technology. The role involves comprehensive testing of chronically implanted carbon fiber ...

Entry Level Controls Engineer

Kennesaw, GA · On-site

$77K - $99K/yr

Entry Level Controls Engineer Full Time Entry Level Department: Engineering & Automation Position ... Support the integration of PLCs with HMI (Human Machine Interface) systems and SCADA platforms ...

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Entry Level Brain Machine Interface information

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How much do entry level brain machine interface jobs pay per hour?

As of Sep 8, 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 is an entry level brain machine interface job?

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 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 the key skills and qualifications needed to thrive as an entry level brain machine interface 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 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 job categories do people searching Entry Level Brain Machine Interface jobs look for?

The top searched job categories for Entry Level Brain Machine Interface jobs are:

What other helpful pages are available for Entry Level Brain Machine Interface?

Other pages related to Entry Level Brain Machine Interface:

Infographic showing various Entry Level Brain Machine Interface job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Mechanical Engineering Intern, Robotics and Surgery Engineering

South San Francisco, CA • On-site

Neuralink
Biotechnology Research and Development • 201 - 500 employees

$35/hr

Internship

Re-posted 4 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