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Internship Brain Machine Interface Jobs in Texas

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$134.80K/yr

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 ...

Neuralink

IACUC Administrator

Austin, TX · On-site

$26.92 - $44.71/hr

... brain-machine interfaces. Responsibilities include: * Provide administrative support to IACUC ... Temporary Employees & Interns excluded

Neuralink

IACUC Administrator

Austin, TX · On-site

This role ensures the ethical and regulatory compliance of all animal research activities supporting the development of Neuralink's brain-machine interfaces. Responsibilities include: * Provide ...

Neuralink

Prototype & Design Specialist

Austin, TX · On-site

$68K - $114K/yr

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems ... Operate and maintain a range of machines and power/hand tools necessary for prototyping * Manage ...

Neuralink

Prototyping Lab Engineer & Manager

Austin, TX · On-site

$68K - $114K/yr

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems ... Operate and maintain a range of machines and power/hand tools necessary for prototyping * Manage ...

Neuralink

Machine Shop Supervisor

Austin, TX · On-site

The Machine Shop team within Neuralink's hardware organization is responsible for delivering ultra ... brain-computer interfaces, surgical tools, and implant hardware across our Austin, Texas and San ...

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Internship Brain Machine Interface information

What are the key skills and qualifications needed to thrive as an Internship Brain Machine Interface, and why are they important?

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 are Internship Brain Machine Interface positions?

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 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 Texas? The most popular types of Brain Machine Interface jobs in Texas are:
What are popular job titles related to Internship Brain Machine Interface jobs in Texas? For Internship Brain Machine Interface jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Internship Brain Machine Interface jobs in Texas look for? The top searched job categories for Internship Brain Machine Interface jobs in Texas are:
What cities in Texas are hiring for Internship Brain Machine Interface jobs? Cities in Texas with the most Internship Brain Machine Interface job openings:
Internship Brain Machine Interface jobs near you
Digital IC Design Engineer

Digital IC Design Engineer

Neuralink

Austin, TX • On-site

$116K - $233.80K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
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 Digital IC 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
  • 5+ years of experience in digital design
  • Expertise in SystemVerilog, C/C++, Python
  • 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 with embedded design
  • Experience in processor instruction set architecture design
  • Experience in compiler back-end design and customization

Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$116,000-$233,800 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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