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Internship Brain Computer Interface Jobs in Texas

Paradromics, Inc.

Electrical Engineer - PCB

Austin, TX · On-site

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

Paradromics

Electrical Engineer - PCB

Austin, TX · On-site

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

Paradromics

Manufacturing Operator

Austin, TX · On-site

$17.25 - $20.75/hr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

Paradromics, Inc.

Manufacturing Operator

Austin, TX · On-site

$17.25 - $20.75/hr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

Neuralink

Field Clinical Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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

Future Ventures

Field Clinical Engineer

Austin, TX · On-site

$89 - $148/hr

  • Medical

  • Dental

  • Vision

  • Retirement

We work to shape the future of brain-computer interface (BCI) technology through the planning ... Temporary Employees & Interns excluded #J-18808-Ljbffr

New

Neuralink

Clinical Scientist

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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

Neuralink

Clinical Research Associate

Austin, TX · On-site

$89K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

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Internship Brain Computer Interface information

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 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 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 are the most commonly searched types of Brain Computer Interface jobs in Texas?

The most popular types of Brain Computer Interface jobs in Texas are:

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For Internship Brain Computer Interface jobs in Texas, the most frequently searched job titles are:

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What cities in Texas are hiring for Internship Brain Computer Interface jobs?

Cities in Texas with the most Internship Brain Computer Interface job openings:

Internship Brain Computer Interface jobs near you
Infographic showing various Internship Brain Computer Interface job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Hardware/ Software Co-Design Engineer

Neuralink

Austin, TX

Full-time

Re-posted 29 days ago

Job description

Team Description: 

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. 

Job Description & Responsibilities: 

Our Hardware/ Software Co-Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.

  • Micro-architecture design and RTL implementation of: 
    • Low-power digital signal processors
    • Low-power general-purpose hardware accelerators
    • Low-power graphics processing units
    • Low-power radio MAC/PHY
    • Low-power serial link MAC/PHY
  • Design and optimization of hardware/software interface with firmware engineers
  • Application-specific architecture optimization including:
    • Complex system modeling for energy and performance benchmarks
    • Workload analysis and modeling
    • Energy/performance profiling and analysis
    • Leveraging architecture-level design trade-offs with process technology and workload type
    • Balancing cost and performance under manufacturing process variation 
  • Collaboration on silicon bring-up tests with verification engineers 

Required Qualifications:

  • Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
  • Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
  • Experience designing and implementing embedded software in C or Rust
  • Expertise in SystemVerilog, C/C++, Python
  • Experience designing and implementing  emulation models, transactors, and test environments to replicate hardware behavior
  • Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
  • Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications: 

  • Experience in architecture optimization with process technology customization
  • Experience in the verification of complex digital systems, using industry standard tools
  • Experience in the physical design of complex digital systems, using industry standard tools
  • Experience testing and debugging digital system-on-a-chips
  • Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
  • Experience automating tool flows
  • Experience in processor instruction set architecture design
  • Experience in compiler back-end design and customization

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