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Internship Brain Computer Interface Jobs in Durham, NC

Teledyne Technologies

Software Engineer

Durham, NC

... brain computer interfaces, for the Government and commercial industry. Specific duties include: * In collaboration with other colleagues, lead development and implement advanced algorithms on PC, GPU ...

Teledyne FLIR LLC

Software Engineer

Durham, NC · On-site

... brain computer interfaces, for the Government and commercial industry. Specific duties include: * In collaboration with other colleagues, lead development and implement advanced algorithms on PC, GPU ...

Teledyne

Software Engineer

Durham, NC

... brain computer interfaces, for the Government and commercial industry. Specific duties include: * In collaboration with other colleagues, lead development and implement advanced algorithms on PC, GPU ...

Vecima

Software Engineer

Raleigh, NC · On-site +1

Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or ... Interest in learning how backend services, APIs, user interfaces, and containerized systems work ...

Vecima

Software Engineer

Raleigh, NC · On-site

Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or ... Interest in learning how backend services, APIs, user interfaces, and containerized systems work ...

Nvidia

Senior GPU Memory Architect

Durham, NC · On-site

... software interfaces to the GPU. * Debugging performance and functional issues with high-level ... A PhD with a focus in computer architecture is a plus. * 6+ years of meaningful work experience in ...

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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 Jun 13, 2026, the average hourly pay for internship brain computer interface in Durham, NC is $22.12, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.46 per hour, depending on experience, location, and employer.

What is an Internship Brain Computer Interface job?

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, and why are they important?

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.

What are the most commonly searched types of Brain Computer Interface jobs in Durham, NC? The most popular types of Brain Computer Interface jobs in Durham, NC are:
What job categories do people searching Internship Brain Computer Interface jobs in Durham, NC look for? The top searched job categories for Internship Brain Computer Interface jobs in Durham, NC are:
What cities near Durham, NC are hiring for Internship Brain Computer Interface jobs? Cities near Durham, NC with the most Internship Brain Computer Interface job openings:
Internship Brain Computer Interface jobs near you

Software Engineer

Teledyne Vision Solutions

Durham, NC

Other

Medical, Dental, PTO

Posted 7 days ago

Job description

Software Engineer

Teledyne Scientific Company (TSC) has a legacy of over 60 years of advanced research and technology development. Our customer base consists of DARPA, ONR, AFRL, ARL, and other government and proprietary customers. TSC's Intelligent Systems Laboratory in North Carolina is a state-of-the-art research and development research facility, dedicated to R&D in the areas of applied neuroscience, autonomous systems and artificial intelligence. The laboratory currently is host to world-class scientists and engineers, with advanced degrees in computer science, mathematics, electrical engineering, neuroscience, chemistry, biomedical engineering and mechanical engineering.

Teledyne Scientific Company is seeking an exceptional Software Engineer to support advanced research and development projects that require algorithm and software development for autonomy, machine learning and biomedical applications. This position is onsite, at our research laboratory in Research Triangle Park, Durham, North Carolina.

Primary Responsibilities:

Define, develop, and deliver novel solutions to a broad range of problems that include applications in target detection and tracking, deep learning, machine learning, autonomous system control and decision systems, computer vision, signal analysis, and brain computer interfaces, for the Government and commercial industry. Specific duties include:

  • In collaboration with other colleagues, lead development and implement advanced algorithms on PC, GPU and SoC (system on a chip) architectures (~50%).
  • Assist with software design, architecture, and implementation across a diverse set of projects that include: advanced research, mobile applications, platform technologies (~45%).
  • A small amount of travel (less than 5% time) is anticipated.

Qualifications & Competencies

Skills/Experience:

  • 5-10 years of experience
  • Experience with C++ is required
  • Experience with Docker is required
  • Experience with CMake is required
  • Familiarity with software development practices (revision control/compiler tricks/debugger, etc.), under Linux is required
  • Knowledge of computer architecture (GPU/FPGA/distributed computing), operating systems, networking, storage systems, Unix/Linux, MATLAB, etc. is a plus
  • Excellent interpersonal and communication (presentation & writing) skills
  • Coursework in software development and computer architecture is required
  • Coursework in algorithms is strongly desired
  • Familiarity with automated testing is a plus

Education:

  • Candidates are required to have at least a B.S. in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering

Citizenship & Security Clearance:

  • Candidates are required to be U.S. Citizens
  • Current SECRET clearance or minimally able to obtain Security Clearance

What can Teledyne offer YOU? A Competitive Salary & Benefits PackageExcellent Health, Dental, VisionPaid Vacation TimePaid Sick TimeLife Insurance BenefitsPaid Holidays401(k) EligibilityEmployee Stock Purchase PlanEducational Tuition ReimbursementEmployee Fun Events throughout the year

Teledyne is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.

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