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Neural Interface Research Jobs (NOW HIRING)

Neara

R&D Senior Process Engineer

Addison, TX · On-site

$135 - $150/hr

We are seeking a R&D Senior Process Engineer to lead the materials and MEMS manufacturing development of our neural interface technologies. This role owns the development of our thin-film based ...

Washington University of St. Louis

$16.75 - $23/hr

Performs independently complex research studies, experiments and assays. The ideal candidate is ... neural decoding, and peripheral nerve interfaces, in close collaboration with WashU's neurosurgery ...

Alljoined

Research Technician

San Francisco, CA · On-site

$21.25 - $29.25/hr

... to build the next interface to improve individual lives as well as the well-being of society as a whole. About the Role As a Research Technician , you will own the neural data collection ...

Neuralink

MRI & CT Technologist (Part-Time)

Austin, TX · On-site

... of neural interface technology. Key Responsibilities: * Technical Acquisition: Execute complex ... Research Mindset: Comfort working with both human participants and veterinary subjects in a fast ...

PetsApp

Staff Engineer, Catheter Systems

Boston, MA · On-site

$100 - $130/hr

Leveraging over a decade of innovation, we have engineered a novel neural interface using ... Design and develop jigs, fixtures, and tooling to support R&D and small‑scale manufacturing ...

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Neural Interface Research information

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 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 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 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.

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Neural Interface Research jobs near you
Infographic showing various Neural Interface Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Research Engineer - Brain Computer Interface Models

Zyphra Technologies Inc

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Zyphra is an artificial intelligence company based in San Francisco, California.
The Role:
As a Research Engineer - Brain Computer Interface Models, you will be a core contributor to Zyphra's BCI work, building the next generation of open-source EEG and brain-computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies.
You'll Work Across:
  • Large-scale EEG model training runs and evaluation
  • Architecture and training methodology ablations and innovations
  • Dataset collection and preprocessing for EEG and other BCI modalities
  • Performance optimization of the training stack
  • Integration of models into real-world BCI applications

What We're Looking For / Requirements:
  • Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
  • Excellent communication and collaboration skills, with clean and concise coding practices
  • Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
  • Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain
  • Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space
  • Proficiency with PyTorch and Python

Qualifications / Additional Skills:
  • Experience with VAEs, GANs, diffusion models, and contrastive learning
  • Familiarity with signal processing (especially for EEG) and time-series analysis
  • Experience training on large-scale (multi-node) GPU clusters
  • Experience contributing to large existing codebases and ramping up quickly
  • Previously published machine learning research in well-respected venues

Why Work at Zyphra:
  • Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
  • We strongly value new and crazy ideas and are very willing to bet big on new ideas
  • We move as quickly as we can; we aim to minimize the bar to impact as low as possible
  • We all enjoy what we do and love discussing AI

Benefits and Perks:
  • Comprehensive medical, dental, vision, and FSA plans
  • Competitive compensation and 401(k) plan
  • Relocation and immigration support on a case-by-case basis
  • In-office snacks and meals provided
  • Unlimited PTO and company holidays
  • In-person team in San Francisco with a collaborative, high-energy environment

Apply