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Brain Computer Interface Engineer Jobs (NOW HIRING)

Dell Medical School

Research Associate II

Austin, TX · On-site

$47K/yr

Master's degree in Electrical and Computer Engineering, Biomedical Engineering, Neuroscience, or a related field. * Three (3) or more years of experience supporting EEG-based brain-computer interface ...

Front Door Defense

Software Engineer

Oakland, CA · On-site

$125 - $150/hr

Software Engineer Own the software stack for real-time brain-computer interface data decoding across research and clinical trials Location: Oakland, California Compensation: $120,000 - 150,000 USD ...

Neuralink

Software Engineer, BCI Applications

Austin, TX · On-site

$150K - $281K/yr

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, and robotic arms with their ...

Orbit Neuro

Expression of Interest

San Francisco, CA · On-site

... of engineers, neuroscientists, and designers solving the most difficult and meaningful challenge: understanding the human brain. Our translational brain computer interface and pioneering models ...

Neara

Senior Quality Reliability Engineer

Addison, TX · On-site

$125 - $150/hr

Senior Quality Engineer Job type: Full Time · Department: Quality · Work type: On‑Site · USD ... brain-computer interface (BCI) to heal and empower millions of people living with neurological ...

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Brain Computer Interface Engineer information

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How much do brain computer interface engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for brain computer interface engineer in the United States is $122,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a brain computer interface engineer?

Brain Computer Interface (BCI) Engineers are professionals who design, develop, and optimize systems that facilitate direct communication between the human brain and external devices. They work at the intersection of neuroscience, engineering, and computer science to create technologies that can interpret neural signals and translate them into commands for computers or prosthetic devices. Their work supports applications such as assistive technology for people with disabilities, neuroprosthetics, and advanced human-computer interaction. BCI Engineers often collaborate with neuroscientists, software developers, and hardware designers to build safe, effective, and innovative solutions. The field is rapidly evolving and requires a strong foundation in signal processing, machine learning, and biomedical engineering.

What are the key skills and qualifications needed to thrive as a brain computer interface engineer?

To thrive as a Brain Computer Interface Engineer, you need a strong background in neuroscience, signal processing, programming (such as Python, MATLAB, or C++), and typically a degree in engineering, computer science, or a related field. Familiarity with EEG/MEG systems, brain signal acquisition hardware, and machine learning frameworks is commonly required, along with relevant certifications or research experience. Exceptional problem-solving abilities, creativity, and effective teamwork skills are crucial for advancing novel technologies in interdisciplinary environments. These skills and qualities are vital for developing reliable, user-friendly BCI solutions that bridge neuroscience and technology.

What are some typical challenges a brain computer interface engineer faces when integrating hardware and software components?

Brain Computer Interface (BCI) Engineers often encounter challenges related to signal noise, latency, and ensuring seamless communication between neural sensors and computer systems. Integrating hardware such as EEG or implantable devices with real-time software processing requires precise calibration and robust error handling. Collaborating closely with neuroscientists, clinicians, and software developers is essential to address these technical hurdles and to ensure that the BCI system is both reliable and user-friendly.

What is the difference between Brain Computer Interface Engineer vs Neural Engineer?

AspectBrain Computer Interface EngineerNeural Engineer
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Neural Engineering, or related fields
Work EnvironmentResearch labs, tech companies, healthcare institutionsResearch labs, medical device companies, healthcare settings
Industry UsageDeveloping BCI devices, signal processing, hardware/software integrationDesigning neural interfaces, neuroprosthetics, neural signal analysis

While both roles require similar educational backgrounds and work in related environments, Brain Computer Interface Engineers focus on developing and implementing BCI systems, whereas Neural Engineers work on broader neural interface technologies and neuroprosthetics. The roles often overlap but differ in specific project focus and application areas.

What cities are hiring for Brain Computer Interface Engineer jobs?

Cities with the most Brain Computer Interface Engineer job openings:

What states have the most Brain Computer Interface Engineer jobs?

States with the most job openings for Brain Computer Interface Engineer jobs include:

What are popular job titles related to Brain Computer Interface Engineer jobs?

For Brain Computer Interface Engineer jobs, the most frequently searched job titles are:

Infographic showing various Brain Computer Interface Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $122,190 per year, or $58.7 per hour.

Research Engineer - Brain Computer Interface Models

San Francisco, CA • On-site

Zyphra
See more jobs at Zyphraexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 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