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Internship Brain Machine Interface Jobs in Washington, DC

The candidate will supervise postdocs, students, research assistants or lab interns conducting ... brain injury, neurological diseases, developmental disorders, diabetes, and nanomedicine. Utilize ...

The candidate will supervise postdocs, students, research assistants or lab interns conducting ... Conduct research across various imaging science fields using disease animal models, including brain ...

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Internship Brain Machine Interface information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

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 Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 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 job categories do people searching Internship Brain Machine Interface jobs in Washington, DC look for?

The top searched job categories for Internship Brain Machine Interface jobs in Washington, DC are:

Systems Integration & Support Engineer

Leidos

Takoma Park, MD • On-site

$57K - $104K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Configure, maintain, and troubleshoot software applications and system components within Linux-based, networked, and virtualized environments.

  • Create, configure, and manage Virtual Machines supporting system deployment, testing, and operations.

  • Develop and maintain Bash scripts to support system administration, troubleshooting, and operational tasks.


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

81st of 500 rated business services


Job description

Description

Leidos’ High Fidelity Simulation Business Area designs and delivers cutting-edge system-of-systems solutions that power world-class simulation, training, and analysis products for the U.S. Navy.

In this role, based at a U.S. Government facility in Bethesda, MD, you will work with state-of-the-art technologies to develop advanced sonar tactical decision aids (TDAs) that directly support the Fleet. You’ll be part of a high-performing team whose mission-critical work shapes the Navy’s tactical edge—making a tangible impact on national security. At Leidos, we empower our engineers to do meaningful work while continually building new skills to grow the career they want to achieve.

The Systems Integration & Support Engineer is responsible for configuring, maintaining, updating, and troubleshooting software-based systems operating within a networked environment. The position supports the complete operational system, including its software, computing hardware, network interfaces, and associated system components.

Technical Capabilities

The position requires a broad understanding of software, computing hardware, networking, virtualization, and system integration, with particular emphasis on:

  • Virtualization: Familiarity with creating, configuring, and managing Virtual Machines.

  • Linux Systems Administration: Strong Linux administration skills and proficiency with Bash scripting.

  • Containerization & Orchestration: Experience with Kubernetes and containerized application environments, with familiarity with Rancher and RKE2.

  • Automation & Configuration Management: Experience using Ansible to automate configuration, deployment, and administrative activities.

  • Networking: Solid understanding of fundamental networking concepts and the ability to troubleshoot basic network connectivity and communication issues.

Primary Responsibilities.

  • Configure and maintain software applications and system components operating within Linux-based, networked, and virtualized environments.

  • Create, configure, and manage Virtual Machines (VMs) supporting system deployment, testing, and operations.

  • Perform Linux system administration activities, including system configuration, user and service management, log analysis, and routine maintenance.

  • Develop and maintain Bash scripts to support system administration, troubleshooting, and repeatable operational tasks.

  • Deploy, configure, and maintain containerized applications and support infrastructure using Kubernetes and related container technologies.

  • Support Kubernetes environments implemented through technologies such as Rancher and RKE2.

  • Use Ansible to automate system configuration, software deployment, updates, and other repeatable administration activities.

  • Install, configure, test, and deploy software updates, patches, and system releases.

  • Perform system upgrades while maintaining compatibility across software, hardware, virtualization, container, and network components.

  • Troubleshoot system-level issues to identify whether problems originate from software, hardware, networking, virtualization, containerization, or system configuration.

  • Diagnose and resolve significant hardware failures, including replacement, configuration, and validation of failed components.

  • Investigate and correct minor software defects, configuration issues, scripting errors, and application-level problems.

  • Apply fundamental networking concepts to diagnose connectivity, addressing, routing, port, and service communication issues.

  • Analyze system logs, software behavior, hardware status, container status, and network communications to isolate faults and determine root causes.

  • Restore systems to an operational state following hardware, software, networking, virtualization, or configuration failures.

  • Validate system functionality following maintenance, upgrades, repairs, deployments, or configuration changes.

  • Document system configurations, automation procedures, troubleshooting findings, maintenance activities, and implemented solutions.

  • Coordinate with software developers, network engineers, system administrators, and other technical personnel when issues require specialized support or software changes beyond the scope of the position.

Basic Qualifications.

  • Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related technical field.

  • At least 1 year of hands-on technical experience supporting, configuring, or troubleshooting Linux-based or networked systems.

  • Working knowledge of Linux, including basic system configuration, services, logs, and command-line troubleshooting.

  • Understanding of networking fundamentals, including TCP/IP, IP addressing, ports, and connectivity troubleshooting.

  • Experience with Bash, Python, or another scripting language for basic automation, system administration, or troubleshooting.

  • Familiarity with virtualization and/or container technologies, gained through professional experience, internships, academic projects, labs, or other hands-on technical work.

  • Ability to troubleshoot technical issues across software, operating systems, networking, or hardware and identify potential root causes.

  • Must be a U.S. citizen and have the ability to obtain and maintain a Secret security clearance..

Preferred Qualifications.

  • Experience troubleshooting and developing software

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:August 25, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $57,850.00 - $104,575.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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