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Brain Computer Interface Jobs in Stanford, CA (NOW HIRING)

Orbit Neuro

Expression of Interest

San Francisco, CA · On-site

Our translational brain computer interface and pioneering models decode emotion, putting experience and wellbeing at the center of every interaction. Our wearable BCI achieves fMRI-comparable ...

Front Door Defense

Software Engineer

Oakland, CA · On-site

$120K - $150K/yr

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

Neuroengineer, Next Gen

South San Francisco, CA · On-site

$122K - $226K/yr

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between ...

Neara

EE Systems Engineer

Santa Clara, CA · On-site

Chicago, Illinois, United States Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between ...

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Brain Computer Interface information

See Stanford, CA salary details

$13

$64

$91

How much do brain computer interface jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for brain computer interface in Stanford, CA is $64.55, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $73.41 per hour, depending on experience, location, and employer.

What is a brain computer interface?

A Brain-Computer Interface (BCI) job involves developing systems that enable direct communication between the brain and external devices. Professionals in this field work on hardware and software to interpret neural signals, often for medical, assistive, or neurotechnology applications. Roles can include research, software engineering, signal processing, and machine learning to improve BCIs' accuracy and functionality. These jobs are common in healthcare, neuroscience, gaming, and AI-driven human augmentation industries.

What are the key skills and qualifications needed to thrive in the brain computer interface position?

To thrive in a Brain Computer Interface role, you typically need a strong background in neuroscience, biomedical engineering, or computer science, coupled with experience in signal processing and neural data analysis. Familiarity with tools such as MATLAB, Python, EEG/MEG systems, and relevant certifications in neurotechnology are highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential for working on multidisciplinary teams and translating research into practical applications. These skills ensure that you can design, develop, and refine advanced BCI systems that meet both technical and user needs in this rapidly evolving field.

What are some common challenges faced by professionals working in brain computer interface roles?

Professionals in Brain Computer Interface roles often face challenges related to accurately interpreting complex neural signals, minimizing noise in data, and ensuring that BCI systems are intuitive for end-users. They frequently collaborate with neuroscientists, engineers, software developers, and clinicians to overcome technical and usability barriers. Balancing research innovation with real-world applicability can be demanding, and staying current with rapidly advancing technology is essential. These challenges make the field dynamic and rewarding for those passionate about shaping the future of human-computer interaction.

What job categories do people searching Brain Computer Interface jobs in Stanford, CA look for?

The top searched job categories for Brain Computer Interface jobs in Stanford, CA are:

What cities near Stanford, CA are hiring for Brain Computer Interface jobs?

Cities near Stanford, CA with the most Brain Computer Interface job openings:

Brain Computer Interface jobs near you
Infographic showing various Brain Computer Interface job openings in Stanford, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $134,257 per year, or $64.5 per hour.

Research Engineer - Brain Computer Interface Models

San Francisco, CA • On-site

Zyphra Technologies Inc
Computer and Peripheral Equipment Manufacturing • 1 - 10 employees
Learn more about Zyphra Technologies Incexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 hours 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

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