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Internship Brain Computer Interface Jobs in Dallas, TX

LiquidStack

Thermal Engineer (R&D)

Carrollton, TX

Interface with vendors and suppliers for component selection and validation Documentation ... Experience with CAD tools such as SolidWorks or AutoCAD * Hands-on experience with lab testing ...

Lockheed Martin

LabVIEW Developer

Grand Prairie, TX · On-site

... Interface LabVIEW with test hardware including NI DAQ devices, PCI chassis, cRIO, oscilloscopes ... Basic Qualifications -Bachelors degree in Electrical Engineering, Computer Engineering, or a ...

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Internship Brain Computer Interface information

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How much do internship brain computer interface jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for internship brain computer interface in Dallas, TX is $22.65, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $24.04 per hour, depending on experience, location, and employer.

What is an internship brain computer interface?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the internship brain computer interface position?

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

What types of projects or tasks are typically assigned to interns in brain computer interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.

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Internship Brain Computer Interface jobs near you
Infographic showing various Internship Brain Computer Interface job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $47,108 per year, or $22.6 per hour.

Senior Software Engineer, Hardware Test (R4978)

Shield AI

Dallas, TX • On-site

$128K - $192K/yr

Full-time

Re-posted 20 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Shield AI's mission is to protect the lives of service members and civilians with intelligent systems. The Hardware Test Engineering team contributes to this effort by designing test solutions that drive high hardware reliability on our V-BAT vehicle. These solutions are in-house designed electrical and mechanical equipment used to perform component and system-level testing, both at ambient and in simulated harsh environmental conditions.
 
In this role you will develop software that automates hardware testing, integrates test results with existing manufacturing software, create software infrastructure for scaling test automation to dozens of test stands, and create and manage databases for logging test results. Help us save lives as we strive to deliver the most highly reliable aerospace hardware in the industry. 
What you'll do:
  • Architect, design, and develop software drivers and interfaces in Python for hardware systems, including PCBAs, avionics, sensors, and automated test equipment.
  • Design and implement automated test frameworks to validate aircraft components and subsystems, ensuring scalability, reliability, and repeatability across multiple programs.
  • Develop and evolve CI/CD pipelines that enable continuous integration, automated validation, and seamless deployment of test stand software.
  • Build and maintain scalable test infrastructure and shared libraries, promoting modularity, reusability, and consistency across teams and platforms.
  • Automate system provisioning and configuration management to accelerate deployment and maintenance of new test stands and test environments.
  • Develop real-time monitoring and data visualization tools (e.g., Grafana) to deliver actionable insights during test execution and system debugging.
  • Lead and participate in design and code reviews, championing sound architectural principles, testability, observability, and reliability throughout the software stack.
  • Collaborate cross-functionally with hardware, systems, and QA teams to integrate software and test capabilities into broader aircraft validation workflows.
  • Other duties as assigned.
Required qualifications:
  • B.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.  
  • Mastery of fundamental computer science topics. 
  • Advanced skillset for developing software in Python. 
  • Experience with Linux including Bash scripting and networking. 
  • Ability to configure and maintain small computer networks.  
  • Experience working on complex software development projects, which can be from an internship, job, club, team, personal project, etc... 
  • Demonstrated history of showing ownership of project outcomes and delivering exceptional results.  
  • Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. 
Preferred qualifications:
  • Comfort working with hardware, as the testcases you write will interface with circuit boards, motors, and sensors. 
  • Mastery of fundamental engineering concepts including EE, Mech E, Programming, Physics, and Mathematics.  
  • Experience writing drivers for electronics test equipment. 
  • Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes. 
$128,045 - $192,067 a year
#LI-JM2
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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