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Neural Interface Research Jobs in Texas (NOW HIRING)

Neuralink

Preclinical Study Coordinator

Austin, TX · On-site

$31 - $53/hr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Minimum 1 year of experience in preclinical research support, study coordination, or project ...

Neuralink

IT Systems Administrator Intern

Austin, TX · On-site

$25/hr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... our groundbreaking research and development takes place and hosts our assembly lines, neural ...

Neuralink

IT Systems Administrator

Austin, TX · On-site

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... research and development takes place and hosts our assembly lines, neural recording training and ...

Micron

Sr HBM Design Architect, PhD NCG

Richardson, TX · On-site

$97K - $205K/yr

... breakthroughs in neural networks possible. We do it all while committing to integrity ... Conduct research and design leveraging AI Successful candidates for this position will have:

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Neural Interface Research information

What is the difference between Neural Interface Research vs Neural Engineering?

AspectNeural Interface ResearchNeural Engineering
Required CredentialsAdvanced degrees in neuroscience, biomedical engineering, or related fieldsSimilar credentials, often with additional focus on device design and implementation
Work EnvironmentResearch labs, universities, biotech companiesResearch labs, medical device companies, clinical settings
Industry UsageFocuses on developing and understanding neural interfacesDesigning, testing, and applying neural interface devices
Common Search IntentResearch methods, latest advancements, academic rolesProduct development, device engineering, clinical applications

Neural Interface Research primarily involves exploring and understanding neural interfaces through scientific investigation, while Neural Engineering focuses on designing and developing neural interface devices for practical use. Both roles require similar educational backgrounds but differ in their application and work environment.

What are the key skills and qualifications needed to thrive in neural interface research?

To thrive in Neural Interface Research, you need advanced knowledge in neuroscience, biomedical engineering, and signal processing, often supported by a graduate degree in a related field. Proficiency with programming languages (such as Python or MATLAB), neural data acquisition systems, and simulation tools is typically required. Exceptional problem-solving abilities, collaboration, and strong communication skills help researchers innovate and translate findings across multidisciplinary teams. These skills are crucial for developing cutting-edge neural technologies and ensuring rigorous, impactful scientific progress.

What is neural interface research?

Neural interface research is the scientific study and development of technologies that connect the nervous system, particularly the brain, with external devices or computers. These interfaces, often called brain-computer interfaces (BCIs) or neural prosthetics, enable direct communication between neural tissue and electronic systems. The goal of this research is to restore lost sensory or motor functions, treat neurological disorders, or enhance human capabilities. Neural interface research is highly interdisciplinary, involving neuroscience, engineering, computer science, and medicine. Advances in this field have the potential to revolutionize healthcare and human-machine interaction.

What are some common interdisciplinary challenges faced by professionals in neural interface research teams?

Neural Interface Research teams often bring together experts from neuroscience, engineering, computer science, and clinical backgrounds, which can lead to challenges in communication and aligning goals across disciplines. Collaborators may use different terminology or have varying expectations regarding project timelines and outcomes. Successful professionals in this field need to be proactive in fostering clear communication, demonstrating adaptability, and developing a basic understanding of adjacent fields to effectively contribute to collaborative projects. These interdisciplinary challenges ultimately offer valuable opportunities for personal growth and innovation.

What are popular job titles related to Neural Interface Research jobs in Texas?

For Neural Interface Research jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Neural Interface Research jobs in Texas look for?

The top searched job categories for Neural Interface Research jobs in Texas are:

What cities in Texas are hiring for Neural Interface Research jobs?

Cities in Texas with the most Neural Interface Research job openings:

Neural Interface Research jobs near you
Infographic showing various Neural Interface Research job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Electrical Engineer Intern, Implant Embedded Systems

Neuralink

Austin, TX

$35/hr

Internship

Re-posted 29 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 Description and Responsibilities:

We are looking for an experienced, hands-on electrical engineer for implant electronics board design, integration with our custom chips, testing, and quality control. You will have the opportunity to contribute to advanced projects, not only work on incremental changes, and be an integral member of a small, fast-moving team. You will be working on all phases of board design (part selection, schematic design, layout, and bring-up) as well as collaborating closely with chip designers, firmware engineers, mechanical engineers, and microfabrication experts for system integration.

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

Required Qualifications: 

  • Strong EE fundamentals
  • Experience designing PCBs for low power and size constrained applications
  • Experience with PCB CAD tools (Altium, Eagle, KiCad, Allegro)
  • Experience with sensors, power management, and signal/power integrity
  • Comfortable with common communication protocols (SPI, UART, I2C, etc.)
  • Comfortable with lab equipment (oscilloscope, VNA, etc.)
  • Basic C and Python programming skills

Preferred Qualifications:

  • Experience with firmware development for embedded systems (C/C++)
  • Experience with wireless systems (BLE, WIFI, Zigbee)
  • Experience building and bringing-up MCUs or FPGA
  • Proficiency with ME CAD tools (Solidworks, AutoCAD)
  • Experience with analog circuit design

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

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