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Internship Brain Machine Interface Jobs in Austin, TX

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems ... Operate and maintain a range of machines and power/hand tools necessary for prototyping * Manage ...

Prototype & Design Specialist

Austin, TX · On-site

$68K - $114K/yr

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems ... Operate and maintain a range of machines and power/hand tools necessary for prototyping * Manage ...

Demonstrated expertise in EEG-based brain-computer interfaces (BCIs). * Knowledge of signal processing, machine learning, statistical analysis, and scientific research methodologies. * Ability to ...

... 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 ...

Engineering Lab Manager

Austin, TX · On-site

$80 - $100/hr

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems ... Temporary Employees & Interns excluded #J-18808-Ljbffr

Neurosurgeon Resident

Austin, TX · On-site

$32 - $54/hr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Temporary Employees & Interns excluded

Showing results 21-40

Internship Brain Machine Interface information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do internship brain machine interface jobs pay per year?

As of Sep 7, 2026, the average yearly pay for internship brain machine interface in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is an internship brain machine interface?

Internship Brain Machine Interface positions are short-term roles typically offered to students or recent graduates to gain hands-on experience working with brain-machine interface (BMI) technologies. These internships involve assisting with research, development, and testing of systems that connect the human brain to external devices, often in fields like neuroscience, biomedical engineering, or computer science. Interns may work on tasks such as data analysis, programming, hardware development, or conducting experiments under the supervision of experienced professionals. The goal is to provide practical exposure and skill development in cutting-edge neurotechnology.

What are the key skills and qualifications needed to thrive as an internship brain machine interface?

To thrive in a Brain Machine Interface internship, you typically need a background in neuroscience, biomedical engineering, computer science, or a related field, with coursework or experience in signal processing and neural data analysis. Familiarity with programming languages like Python or MATLAB, as well as experience with neural recording systems and data acquisition tools, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and contribute meaningfully to research teams. These skills enable interns to support innovative projects at the intersection of neuroscience and technology, ensuring they can learn quickly and add value to complex research environments.

What types of projects or tasks can I expect to work on during a brain machine interface internship?

As a Brain Machine Interface (BMI) intern, you'll typically assist with experimental design, data collection, and analysis involving neurophysiological signals, such as EEG or intracortical recordings. You may help develop or test algorithms for signal processing and decoding brain activity, or support the integration of hardware and software systems. Collaboration with neuroscientists, engineers, and software developers is common, so you’ll gain exposure to both research and technical development environments. Interns often have the opportunity to contribute to ongoing research publications or product development, which can be valuable experience for future roles.

What is the difference between Internship Brain Machine Interface vs Research Assistant in Brain-Computer Interface?

AspectInternship Brain Machine InterfaceResearch Assistant in Brain-Computer Interface
Required CredentialsEnrolled in relevant undergraduate or graduate programGraduate degree or ongoing research experience in neuroscience or engineering
Work EnvironmentInternship setting, often in labs or tech companiesAcademic or research institution labs
Employer & Industry UsageTech companies, startups, research labsUniversities, research institutes, industry R&D
Common Search & Comparison IntentUnderstanding internship roles in BMIResearch roles in brain-computer interfaces

While both roles involve working with brain-machine interface technology, an Internship Brain Machine Interface typically targets students gaining initial industry experience, whereas a Research Assistant in Brain-Computer Interface usually involves more advanced research responsibilities within academic or research institutions.

What are the most commonly searched types of Brain Machine Interface jobs in Austin, TX?

The most popular types of Brain Machine Interface jobs in Austin, TX are:

What are popular job titles related to Internship Brain Machine Interface jobs in Austin, TX?

For Internship Brain Machine Interface jobs in Austin, TX, the most frequently searched job titles are:

What cities near Austin, TX are hiring for Internship Brain Machine Interface jobs?

Cities near Austin, TX with the most Internship Brain Machine Interface job openings:

Prototyping Lab Engineer & Manager

Neuralink

Austin, TX • On-site

$68K - $114K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday


Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems related to the implant and charger. Our projects involve electrical and mechanical test systems, custom jigs and fixtures, electronics packaging and tooling at the interface between the implant and the surgical robot.
Job Description and Responsibilities:
As our Prototyping Lab Engineer & Manager, you will be instrumental in creating and maintaining an environment that enables our engineering and manufacturing teams to innovate and deliver groundbreaking medical devices. You will go beyond managing equipment and facilities; you will be a key enabler of technical and operational success, ensuring that the R&D lab spaces are designed for efficiency and collaboration. You will play a pivotal role in supporting the company's growth by facilitating innovation, streamlining operations, and optimizing resource utilization. Additionally, you will be expected to:
  • Engineering Lab Design and Operations:
    • Design and build lab spaces to meet the evolving needs of the engineering and manufacturing teams
    • Continuously improve lab capabilities and operations by implementing new technologies and optimizing space for faster and more efficient workflows
    • Own and maintain inventory of all lab equipment, including tools, chemicals, and consumables
    • Implement systems for lab organization and cleanliness, and train users accordingly
    • Ensure spaces comply with safety regulations and industry standards
  • Prototyping and Fabrication:
    • Provide hands-on technical support to engineers and technicians by building prototypes, setting up stations and running tests
    • Utilize various fabrication methods, including additive and subtractive manufacturing, to produce high-quality prototype parts.
    • Operate and maintain a range of machines and power/hand tools necessary for prototyping
  • Manage multiple projects simultaneously, prioritizing tasks to meet tight deadlines and production schedules

Required Qualifications:
  • Meticulous attention to detail and exceptional organizational skills
  • Eye for aesthetic design and organization
  • Familiarity with R&D lab equipment, tools and workflows
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Thrives in a fast-paced environment where flexibility and innovation are essential
  • Hands-on experience with prototyping, model making, fabrication, testing, and lab operations
  • Experience planning and building out labs and R&D workspaces

Preferred Qualifications:
  • Previous experience in a prototyping environment
  • Part design experience
  • Experience programming and operating laser cutters, 3D printers, and CNC machines
  • Knowledge of regulatory standards relevant to medical device development
  • Experience with inventory management systems and quality control processes

Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$68,000-$114,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded