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Internship Brain Machine Interface Jobs (NOW HIRING)

Neurable, INC

Machine Learning

Cambridge, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Ducommun

Supply Chain Intern

Carson, CA · On-site

$21 - $22/hr

... Human Machine Interface, Motion ControlDevice, Radiofrequency Departments. Job Summary ... Must be continuing education post internship. * Must be a US Person Base Compensation: USD 21.00 ...

Yokohama Tire Corporation

Control Engineer

West Point, MS

$70K - $90K/yr

... internship, or other opportunities in industrial /manufacturing environments with automation equipment, traceability and control. Also experience with machine-to-machine interface and host PLC.

Yokohama Tire Corporation

Control Engineer

West Point, MS · On-site

$70K - $90K/yr

... internship, or other opportunities in industrial /manufacturing environments with automation equipment, traceability and control. Also experience with machine-to-machine interface and host PLC.

Yokohama Tire Corporation

Control Engineer

West Point, MS · On-site

$81K - $122K/yr

... internship, or other opportunities in industrial /manufacturing environments with automation equipment, traceability and control. Also experience with machine-to-machine interface and host PLC.

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ... possible in brain computer interfaces. Key Responsibilities * Research & Model Development:

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Internship Brain Machine Interface information

See salary details

$25.5K

$42.6K

$88K

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

As of Jun 17, 2026, the average yearly pay for internship brain machine interface in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an Internship Brain Machine Interface, and why are they important?

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 are Internship Brain Machine Interface positions?

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 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.

More about Internship Brain Machine Interface jobs
What cities are hiring for Internship Brain Machine Interface jobs? Cities with the most Internship Brain Machine Interface job openings:
What are the most commonly searched types of Brain Machine Interface jobs? The most popular types of Brain Machine Interface jobs are:
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What job categories do people searching Internship Brain Machine Interface jobs look for? The top searched job categories for Internship Brain Machine Interface jobs are:
Internship Brain Machine Interface jobs near you
Infographic showing various Internship Brain Machine Interface job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 1% As Needed, 91% Full Time, 4% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Shop Supervisor

Machine Shop Supervisor

Neuralink

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago

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 Machine Shop team within Neuralink's hardware organization is responsible for delivering ultra-precision mechanical components that go into our implants, surgical robots, electrode arrays, wireless chargers, and associated consumables. This includes CNC machining and rapid prototyping operations in a fast-paced, low-to-mid-volume, high-mix environment where every part must meet the stringent quality, biocompatibility, and reliability standards required for life-changing medical devices. Our team combines manufacturing expertise with rapid iteration to support both R&D prototypes and scalable production.
Job Description and Responsibilities:
As Machine Shop Operations Manager at Neuralink, you will lead day-to-day production operations of CNC machining and other rapid prototyping methods that support complex precision components for brain-computer interfaces, surgical tools, and implant hardware across our Austin, Texas and San Francisco, California facilities. This role blends operational oversight and execution with industrialization and manufacturing engineering to ensure that design execution, quality frameworks, and shop processes remain synchronized with the organization's high-level objectives. This hands-on leadership role serves as the primary interface between the machine shop and cross-functional teams (Design Engineering, Manufacturing Engineering, Quality, Supply Chain, Finance), driving manufacturability and production readiness across our programs.The position will require frequent travel between machine shop sites (expectation monthly).
  • Leading day-to-day operations and execution in our expanding CNC machine shop across two locations, including staffing, work assignments, and production prioritization
  • Supervising CNC programmers/machinists, setup technicians, and machine operators to ensure safe, efficient, and high-quality execution
  • Maintaining technical oversight of machining processes including setups, tooling strategy, and troubleshooting to ensure quality and efficiency
  • Troubleshooting machining issues related to tooling, machine performance, workholding, dimensional variation, and downtime
  • Ensuring all work adheres to technical drawings, controlled documentation, and medical-device traceability standards
  • Driving shop performance through metrics-based monitoring of safety, quality, yield, and operational efficiency
  • Maintaining readiness of machines, tooling, fixtures, gauges, and materials needed to support production
  • Supporting hiring, onboarding, and skills development for machine shop personnel
  • Partnering with Design Engineering, Manufacturing Engineering, Quality, Supply Chain and Production Leadership to drive end-to-end production readiness, ensuring processes, schedules, and resources meet business goals
  • Supporting rapid prototyping and quick-turn machining operations to enable fast design iteration and aggressive development timelines
  • Supporting early design for manufacturability (DFM) initiatives to allow designs to best be built for cost, quality, and scalability
  • Driving process development and industrialization from prototype through production, including routing, cycle time, and process capability improvements
  • Developing and managing capacity planning and capital equipment strategy aligned with product roadmap, executing against planned timelines and budgets
  • Establishing and monitoring process capability (Cp/Cpk), yield, and first-pass quality metrics
  • Implementing structured manufacturing practices such as PFMEA, control plans, and work instructions where appropriate
  • Driving continuous improvement using Lean, root cause analysis (8D, 5-Why), and data-driven problem solving

Required Qualifications:
  • Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Management, or a related technical field
  • Minimum of 7+ years of experience in a manufacturing environment, with at least 3 years in a management or senior supervisory role overseeing production operations.
  • Proven experience in manufacturing, industrialization, or operations engineering within a fast-paced production environment
  • Ability to read and interpret blueprints, engineering drawings, GD&T, and process documentation
  • Strong problem-solving, communication, and organizational skills
  • Ability to lead in a fast-paced production environment with shifting priorities
  • Ability to triage and prioritize shop issues and workloads, track key performance metrics, and develop and manage budgets
  • Knowledge of precision manufacturing processes (e.g., CNC machining, EDM, or similar), with ability to engage technically without requiring deep hands-on machining expertise
  • Willingness and ability to travel occasionally between the two locations

Preferred Qualifications:
  • 5+ years of CNC machining and other rapid prototyping methodology experience in a production environment
  • Experience in medical-device, aerospace, defense, or high-precision electromechanical manufacturing
  • Familiarity with ISO 13485, ISO 10993, 21 CFR, traceability, and configuration control requirements
  • Experience with multi-axis CNC mills, lathes, and secondary machining operations
  • Experience with CAM programming and manufacturing software (Mastercam, ESPRIT, or equivalent)
  • Experience with Siemens and FANUC controls
  • Experience collaborating with CNC programmers and manufacturing engineers to optimize machining strategy, tooling, and process flow
  • Experience machining medical/aerospace-grade materials such as titanium, stainless steel, aluminum, PEEK, and other biocompatible polymers
  • Knowledge of lean manufacturing principles and continuous improvement methods
  • Experience in low-volume, high-mix or prototype-to-production manufacturing environments
  • Strong understanding of rapid prototype methodologies and experience balancing high-velocity R&D prototyping with production requirements

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:
$103,000-$191,000 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

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