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Internship Brain Computer Interface Jobs in Austin, TX

Neuralink

Clinical Scientist

Austin, TX · On-site

We work to shape the future of brain-computer interface (BCI) technology through the planning ... Temporary Employees & Interns excluded

Neuralink

Manufacturing Technician

Austin, TX

$25 - $31/hr

Implant technology and our ability to manufacture high-quality implants in volume at low cost are at the core of creating the future of brain-computer interfaces. The Brain Interfaces Mechanical ...

Neuralink

Clinical Scientist

Austin, TX

We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of ...

Neuralink

Clinical Program Manager

Austin, TX · On-site

We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of ...

Neuralink

Machine Shop Supervisor

Austin, TX

... brain-computer interfaces, surgical tools, and implant hardware across our Austin, Texas and San Francisco, California facilities. This role blends operational oversight and execution with ...

Paradromics, Inc.

Product Manager

Austin, TX · On-site

About the Role Brain-computer interfaces have the power to turn incurable brain conditions into solvable engineering problems. At Paradromics, we're leading in the hardware that makes that possible ...

Paradromics

Product Manager

Austin, TX · On-site

About the Role Brain-computer interfaces have the power to turn incurable brain conditions into solvable engineering problems. At Paradromics, we're leading in the hardware that makes that possible ...

Neuralink

Software Engineer, Implant

Austin, TX · On-site

$119K - $200K/yr

The Brain Interfaces Software Team is responsible for the end to end software stack that manages ... Evidence of exceptional ability in engineering, mathematics, or computer science * Strong ...

Neuralink

Software Engineer, Implant

Austin, TX

$119K - $200K/yr

The Brain Interfaces Software Team is responsible for the end to end software stack that manages ... Evidence of exceptional ability in engineering, mathematics, or computer science * Strong ...

Neuralink

Manufacturing Engineer

Austin, TX · On-site

$83K - $139K/yr

The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and ... Detailed designing of 3D CAD and 2D drawings with a heavy focus on DFX, and integration onto the ...

Neuralink

Engineering Lab Manager

Austin, TX · On-site

$68K - $114K/yr

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems ... Temporary Employees & Interns excluded

Neuralink

Software Engineer, Robotics

Austin, TX · On-site

$119K - $200K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Evidence of exceptional ability in engineering or computer science. * Hands-on experience with ...

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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 14, 2026, the average hourly pay for internship brain computer interface in Austin, TX is $22.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $24.09 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.

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Internship Brain Computer Interface jobs near you
Electrical Engineer, Implant Embedded Systems

Electrical Engineer, Implant Embedded Systems

Neuralink

Austin, TX

Other

Posted 18 days ago

Job description

Team Description:

We build the electrical systems that make high-bandwidth brain-computer interfaces possible. This includes neural signal acquisition and stimulation to wireless power delivery, embedded processing, and system integration-all within devices small enough to be implanted in the human body and efficient enough to operate under strict thermal and power constraints. Our work sits at the intersection of analog, RF, digital, and biological systems. Many problems in this space do not present clean abstractions or clear failure modes. Success often depends on careful measurement, iteration, and engineering judgment across multiple interacting systems.

Job Responsibilities:

  • Utilize electrical engineering fundamentals and best system design practices to deliver high-performant, reliable, and manufacturable extremely size-constraint systems
  • Contribute to all phases of system and board design, from system definition to part selection, schematic design, layout, bring up, and design verification
  • Help conduct R&D investigations and experiments to demonstrate feasibility of new technology for the implant and the charger
  • Work cross functionally to ensure successful systems integration
  • Contribute to system improvements that decrease latency and increase battery life, reliability, and safety
  • Design and deploy systems for implant-charger hardware in the loop testing, and manufacturing line quality control

Note: The team is hiring electrical engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.

Required Qualifications:
  • Bachelor's degree in Electrical Engineering or equivalent experience
  • Strong electrical engineering and physics fundamentals, with demonstrated ability to apply them under real-world constraints (noise, power, size, non-ideal interfaces)
  • Proven ability to independently design, bring up, debug, and verify complex PCBAs operating under tight power and size constraints, including mixed-signal circuits, sensitive sensor interfaces, and embedded compute
  • Experience debugging systems where issues span multiple domains (analog, digital, RF, power) and root causes are not immediately obvious
  • Deep familiarity with lab instrumentation (oscilloscopes, power supplies, spectrum analyzers, VNAs) and the ability to extract meaningful insight from imperfect measurements
Preferred Qualifications:
  • Experience shipping highly integrated, size- and power-constrained devices (e.g., wearables, implantables, compact wireless systems)
  • Experience with wireless systems and RF design tradeoffs (BLE, Wi-Fi, antenna design, coexistence)
  • Experience supporting hardware through manufacturing at scale, including yield, test, and failure analysis
  • Experience in safety-critical or regulated environments, where reliability and risk must be explicitly managed
  • Familiarity with mechanical integration constraints (CAD tools, packaging, stack-ups)
  • Experience with electromagnetic simulation and antenna validation (FEM/FDTD or equivalent)

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