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Senior Brain Machine Interface Jobs (NOW HIRING)

Digital IC Design Engineer

Austin, TX · On-site

$134K/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 ...

Digital IC Design Engineer

Austin, TX · On-site

$116K - $233K/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 ...

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Senior Brain Machine Interface information

What is the difference between Senior Brain Machine Interface vs Brain Machine Interface Engineer?

AspectSenior Brain Machine InterfaceBrain Machine Interface Engineer
Required CredentialsMaster's or PhD in neuroscience, biomedical engineering, or related field; extensive experienceBachelor's or Master's in engineering, neuroscience, or related; some experience
Work EnvironmentResearch labs, universities, biotech companiesResearch and development teams, startups, tech companies
Industry UsageAdvanced research, leadership roles, project oversightDesign, develop, and test BCI systems, prototype work

While both roles focus on brain-machine interfaces, the Senior Brain Machine Interface typically involves leadership, advanced research, and strategic oversight, requiring higher credentials and experience. The Brain Machine Interface Engineer is more hands-on, focusing on designing and developing BCI systems, often with less seniority and experience requirements.

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Infographic showing various Senior Brain Machine Interface job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Nights. Highlights an 100% In-person job distribution.
Mechanical Engineering Intern, Robotics

Mechanical Engineering Intern, Robotics

Neuralink

South San Francisco, CA • On-site

$35/hr

Other

Posted 29 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