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Internship Brain Machine Interface Jobs in Dallas, TX

... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... Our team brings together experts in neurosurgery, AI and machine learning, microfabrication ...

... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... Our team brings together experts in neurosurgery, AI and machine learning, microfabrication ...

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... Our team brings together experts in neurosurgery, AI and machine learning, microfabrication ...

... machine specifications. MAJOR DUTIES: 1) For new projects: generate and review project layout ... While reporting to the Mechanical Engineering Manager, interfaces with Project Management ...

Engineer, Software

Dallas, TX · On-site

$185K - $245K/yr

... and interns to deliver high-quality solutions. You will design and build end-to-end applications ... front-end interfaces to robust back-end services, integrating advanced analytics and machine ...

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Internship Brain Machine Interface information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

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

As of Aug 28, 2026, the average yearly pay for internship brain machine interface in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 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 popular job titles related to Internship Brain Machine Interface jobs in Dallas, TX?

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

What job categories do people searching Internship Brain Machine Interface jobs in Dallas, TX look for?

The top searched job categories for Internship Brain Machine Interface jobs in Dallas, TX are:

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

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

Infographic showing various Internship Brain Machine Interface job openings in Dallas, TX as of June 2026, with employment types broken down into 3% Internship, 1% As Needed, 67% Full Time, 22% Part Time, 3% Contract, and 4% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.

Hardware Test Engineer

Carrollton, TX • On-site

Ommo Technologies, inc.
11 - 50 employees

$65 - $100/hr

Other

Retirement, PTO

Posted 10 days ago


Job description

Ommo is the pioneer of permanent magnet–based 3D tracking technology, building a next-generation tracking platform based on magnetic sensing. Our technology enables ultra-precise, real-time 6DOF tracking for millimeter-scale wireless sensors, up to 1,000 times per second with accuracy down to 0.1mm, without line-of-sight constraints. We partner with medical device OEMs and advanced technology companies developing surgical navigation, robotics, simulation, spatial intelligence, and human-machine interface systems.

Research and testing are fundamental to how we develop our products. Our technology - and the automated test systems, calibration methods, evaluation processes, and acceptance criteria behind it - is entirely proprietary and critical to delivering world-class performance.

We're looking for a multidisciplinary Hardware Test Engineer to help execute and improve the systems that validate our technology every day. You'll perform R&D testing and investigations, analyze data, support production, and conduct failure analysis while also designing better fixtures, automating test processes, and improving documentation. This role is ideal for a hands‑on engineer who enjoys solving practical problems, building tools, and making complex systems more efficient.

Responsibilities

Testing & Execution

Perform R&D tests & investigations (e.g. thermal characterization of sensors, interference & spacing limits, reliability studies) & write clear, decision-ready test reports

Perform R&D data analysis & review production data on an ongoing basis

Onsite low volume production oversight & support

Perform failure analysis on returned & defective products & feed findings back to the product development & engineering team

Fixturing & Mechanical

Design, prototype, and improve R&D test fixtures and setups, including cabling, device mounting, ergonomics, and overall usability.

Partner with the Mechanical Engineering team to design, prototype, and implement fixture improvements using CAD.

Develop and maintain fixture documentation, including manuals and maintenance procedures.

Test Automation, Tooling & Data

Build and improve automation and control systems for test rigs, lab monitoring, and data acquisition (e.g., environmental chamber automation, Raspberry Pi monitoring, USB instrument interfaces).

Develop data analysis pipelines, scripts, and internal tooling that automate test processing and streamline validation workflows.

Documentation & Process

Develop and maintain SOPs, work instructions, protocols, and documentation for tests, fixtures, and tooling.

Define and standardize acceptance criteria and repeatable validation processes for new product bring-up.

Qualifications

B.S. in Mechanical, Mechatronics, Electrical, or Computer Engineering, or other related degree

1–3 years of hands‑on experience with testing, data collection, and analysis in an R&D, manufacturing, production, or laboratory environment. Relevant internships, co‑ops, research, and substantial academic projects may count toward this experience.

Experience designing mechanical fixtures, parts or prototypes using CAD and rapid prototyping tools (3D printing, laser cutting, machining, soldering, etc.).

Experience using Python (or a similar language) for automation and data analysis.

Experience working with embedded systems, including Raspberry Pi or other microcontrollers.

Good technical writing, able to turn technical work into clear procedures

Good problem solving abilities, analytic troubleshooting experience a plus

Capable of managing multiple projects at once

Nice to Haves

Experience in a regulated or precision hardware environment (e.g., medical devices), including familiarity with ISO 9001 or ISO 13485 quality systems.

A track record of building internal tooling, automation, or process improvements

Experience with process verification & validation, or Test Method Validation

Familiarity with GD&T & tolerance analysis

  • 401(k) with Company Match
  • Equity Participation
  • Paid Time Off & Holidays
  • Professional Development
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