1

Internship Brain Machine Interface Jobs in Colorado

Senior Research Scientist

Aurora, CO · On-site

$100K - $127K/yr

... brain computer interface, and intraoperative task design to support Dr. Daniel Kramer's laboratory ... Experience with machine learning and neural decoding approaches * Experience integrating and ...

Senior Research Scientist

Aurora, CO · On-site

$100K - $127K/yr

... brain computer interface, and intraoperative task design to support Dr. Daniel Kramer's laboratory ... Experience with machine learning and neural decoding approaches * Experience integrating and ...

The interfaces you design will be relied on for on-machine operation, diagnostics, as well as ... Classification: Full-time Exempt Benefits Include: (Please note, Interns are not eligible for ...

The interfaces you design will be relied on for on-machine operation, diagnostics, as well as ... Classification: Full-time Exempt Benefits Include: (Please note, Interns are not eligible for ...

From prospect to renewal, our products give properties a spatial brain and a visual edge when it ... Have Real Impact: You're not just a cog in a machine. Your designs will directly shape the core ...

Product Designer

Greenwood Village, CO · On-site

$105K - $135K/yr

From prospect to renewal, our products give properties a spatial brain and a visual edge when it ... Have Real Impact: You're not just a cog in a machine. Your designs will directly shape the core ...

Showing results 21-40

Internship Brain Machine Interface information

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 the most commonly searched types of Brain Machine Interface jobs in Colorado?

The most popular types of Brain Machine Interface jobs in Colorado are:

What are popular job titles related to Internship Brain Machine Interface jobs in Colorado?

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

What job categories do people searching Internship Brain Machine Interface jobs in Colorado look for?

The top searched job categories for Internship Brain Machine Interface jobs in Colorado are:

What cities in Colorado are hiring for Internship Brain Machine Interface jobs?

Cities in Colorado with the most Internship Brain Machine Interface job openings:

Software Engineer (Early Career, Exceptional Talent)

Centennial, CO • On-site

Socket.dev
Network Security • 1 - 10 employees

$92 - $124/hr

Other

PTO

Posted 8 days ago


Job description

You will be placed on one of four teams, based on your interests and where you'll do your best work:

  • Boomie is the software platform that runs how Boom designs, buys, and builds hardware. Most aerospace companies bolt themselves onto whatever vendor system they bought. We inverted it: we own the integration layer forever and treat every vendor system underneath as replaceable. You will build the data models and workflows that trace every part of a human-rated engine from supplier to field.
  • Telemetry is the streaming data problem. Near-realtime distributed systems where the data source is an engine on a test stand, a fleet of deployed turbines, or a machine on our factory floor. It is the classic big data problem, except the data source is on fire on purpose.
  • Design & Analysis builds the tools that make Boom's design engineers faster than everyone else's, across every discipline that shapes an engine: applied aerodynamics, turbine design, combustion, structures, and whole-engine performance modeling. GPU-native CFD runs on a cluster we own and operate, and the feedback loop for your software is a real engine build.
  • DevOps runs the compute Boom stands on. HPC clusters and their pipelines, automation across fleets of wildly different machines, deploy pipelines for every application we ship, and the uptime of all of it. This is infrastructure as a software discipline, and it takes real software chops.

This job isn't for everyone. You're the right person if:

  • You've done something extraordinary early: shipped software with real users, built the systems your club or lab depends on, or done work in an internship that most engineers don't see for years
  • You love building and want to work long, smart, and hard to create things that have real impact
  • You want ownership, not guidance
  • You get more energized when a problem gets harder, not less
  • You're uncomfortable waiting for someone else to find the answer
  • The test stand and the factory floor sound more interesting to you than a sprint planning meeting
What you'll do:
  • Own a defined piece of your team's software, with real accountability for the outcome
  • Sit with the engineers, technicians, and test crews who use your software, and build what they actually need
  • Ship code your first week, and a tool in daily use by the end of your first month
  • Work with AI as a first-class part of the job: agents as coding partners, and interfaces designed for agents as well as humans
  • Iterate fast: figure out what's wrong, fix it, and move on to the next problem
You probably have:
  • A degree in Computer Science or a related field, or equivalent evidence that you can build
  • At least one thing you built and shipped that people other than you used: a club tool, an open source project, a lab pipeline, a personal system that runs your life. This is required, not a nice-to-have. School projects alone do not clear it
  • An internship or co-op where you shipped something real
  • Strong computing fundamentals and genuine curiosity about how things work all the way down
  • A track record of finishing hard things, inside school and outside of it
You will thrive here if:
  • You want ownership, not guidance
  • You get more energized when a problem gets harder, not less
  • You're comfortable not knowing the answer yet, and uncomfortable waiting for someone else to find it
  • You'd rather watch a machinist fight a workflow for an hour than read a requirements document about it

The ramp here is steep and the expectations are high from day one. Engineers who want a structured development program, a mentor rotation, and a clearly defined lane should look elsewhere. Engineers who want to spend their first year shipping software that hardware programs depend on, and being held to it, should apply.

Work Location

Internships require 100% onsite at Boom's headquarters located at 6803 S Tucson Way, Centennial, CO 80112.

Compensation

The Base Salary Range for this position is $92,000 - $124,000 per year. Actual salaries will vary based on factors including but not limited to location, experience, and performance. The range listed is just one component of Boom’s total rewards package for employees. Other rewards may include long-term incentives/equity, a flexible PTO policy, and many other progressive benefits. Additional perks include on-site meals and gym access.

ITAR Requirement

To conform to U.S. Government aerospace technology export regulations (ITAR and EAR), applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Due to the nature of this position, candidates must be eligible to access export-controlled information and technology as required by applicable U.S. export control laws. Learn more about ITAR here.

#J-18808-Ljbffr