ZipRecruiter

Log In

2

Remote Brain Computer Interface Jobs in California

Subsense

Social Media & Website Manager

Palo Alto, CA · On-site +1

$25 - $40/hr

About Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is ...

New

Kandu Health

B2B Account Manager

Van Nuys, CA · On-site +1

$64K - $76K/yr

... brain-computer interface technology with personalized telehealth services. Our IpsiHand ® device ... Remote work desk allowance Please note that the salary information is a general guidance only.

Kandu Health

Regional Sales Manager-Texas

Van Nuys, CA · On-site +1

$80K - $120K/yr

Kandu, Inc. is pioneering an integrated approach to stroke recovery by combining FDA-cleared brain-computer interface technology with personalized telehealth services. Our IpsiHand ® device is ...

Kandu Health

Regional Sales Manager-Midwest

Van Nuys, CA · On-site +1

$80K - $120K/yr

Kandu, Inc. is pioneering an integrated approach to stroke recovery by combining FDA-cleared brain-computer interface technology with personalized telehealth services. Our IpsiHand ® device is ...

Kandu

Customer Experience Journey Specialist

Van Nuys, CA · Remote

$25 - $30/hr

... brain-computer interface technology with personalized telehealth services. Our IpsiHand ® device ... Additionally, this role is a work-from-home and remote position. What You'll Do Journey Monitoring ...

Zoic Studios

U.S. UI/UX Designer, Zoic Labs

Long Beach, CA · On-site +1

$40 - $50/hr

... high-end computer graphics for film, television, gaming, and VR/AR experiences. We build ... Remote work accepted within the U.S., company based in Los Angeles * Zoic does not cover relocation ...

TalentBurst, Inc.

Sr. UX UI Designer

Fairfield, CA · Remote

This is a remote role with occasional trips to Alameda (Alameda : 2601 Harbor Bay Parkway) for ... Computer Interaction, or related field o Equivalent professional experience may be considered What ...

Neuralink

Software Engineer, CI/CD

South San Francisco, CA · Remote

$123K - $216K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... This includes remote caching, remote execution, target identification and selection, etc. * Operate ...

Zoo

CAD Graphics Engine Software Engineer

Los Angeles, CA · On-site +1

$145K - $195K/yr

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... interface with Graphics APIs, modeling, rendering, and proceduralization pipelines * Analyze code ...

evrecruit.io

AI Interfaces Engineer

San Francisco, CA · Remote

Bay Area, remote-flexible Compensation: Competitive Base / Equity mix As an AI Interfaces Engineer ... Bachelor's degree in Computer Science, Human-Computer Interaction, Design, or a related field.

Tilda Research

You have good understanding of foundational computer science concepts like design patterns, data ... You understand how to build and use API interfaces to create appropriate software interfaces * You ...

next page

Showing results 1-20

All JobsRemote Brain Computer Interface JobsRemote Brain Computer Interface Jobs in California

Remote Brain Computer Interface information

What are the key skills and qualifications needed to thrive as a Remote Brain Computer Interface (BCI) Engineer, and why are they important?

To thrive as a Remote Brain Computer Interface Engineer, you need expertise in neuroscience, signal processing, software development, and ideally an advanced degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages (such as Python or MATLAB), BCI platforms (like OpenBCI), and experience with EEG/EMG systems are typically required. Strong problem-solving skills, attention to detail, and effective remote communication abilities set candidates apart. These skills ensure the development and maintenance of robust BCI systems, successful remote collaboration, and the advancement of innovative neurotechnology solutions.

What are Remote Brain Computer Interface jobs?

Remote Brain Computer Interface (BCI) jobs involve designing, developing, testing, or supporting technologies that enable direct communication between the brain and external devices, all while working from a remote location. These roles can include research scientists, software engineers, data analysts, or user interface designers specializing in BCI applications. Professionals in this field collaborate virtually to advance neurotechnology, contribute to assistive devices, or improve human-computer interaction. Remote BCI jobs often require expertise in neuroscience, computer science, machine learning, and signal processing.

What are some common challenges faced by professionals working in remote Brain-Computer Interface (BCI) roles?

Professionals in remote BCI positions often encounter challenges such as maintaining effective collaboration with cross-disciplinary teams, managing sensitive data securely, and troubleshooting specialized hardware or software remotely. Since BCI projects typically involve neuroscientists, engineers, and software developers, clear communication and regular virtual meetings are essential for synchronizing progress. Additionally, remote work can make testing and debugging BCI devices more complex, requiring creative solutions and sometimes coordination with onsite staff or labs.
What are the most commonly searched types of Brain Computer Interface jobs in California? The most popular types of Brain Computer Interface jobs in California are:
What are popular job titles related to Remote Brain Computer Interface jobs in California? For Remote Brain Computer Interface jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Brain Computer Interface jobs in California look for? The top searched job categories for Remote Brain Computer Interface jobs in California are:
What cities in California are hiring for Remote Brain Computer Interface jobs? Cities in California with the most Remote Brain Computer Interface job openings:
Remote Brain Computer Interface jobs near you
Infographic showing various Remote Brain Computer Interface job openings in California as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Computational Materials Scientist (Contract)

Subsense

Palo Alto, CA • On-site, Remote

Contractor

Posted 2 days ago

Job description

About Subsense
Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is to unlock direct communication between the human brain and AI - starting with medical applications such as stroke recovery and moving toward cognitive enhancement for healthy users. Headquartered in Palo Alto, Subsense brings together leading scientists and engineers to redefine the future of human-machine interaction.
The Opportunity
We are looking for a computational materials scientist who can help us evaluate novel nanoparticle core and core/shell designs using first-principles simulation.
This role is best suited for someone who can work independently with a defined set of calculations, validate results carefully, and summarize findings clearly for an interdisciplinary R&D team.
Key Responsibilities
You will support first-principles simulation of magnetic and magnetoelectric nanoparticle materials, including candidate core materials beyond cobalt ferrite and selected core/shell design concepts. The goal is to help prioritize which nanoparticle designs are most promising for experimental follow-up.
Example tasks may include:
  • Set up and run DFT calculations for structural relaxation and SCF workflows.
  • Run or support DFPT calculations where appropriate.
  • Estimate and interpret materials response properties such as dielectric constants, elastic moduli, Born effective charges, piezoelectric coefficients, and related response tensors.
  • Work with spin-polarized systems, magnetic ordering, magnetic moments, and magnetic material properties.
  • Evaluate literature values and assess whether published material properties are reliable and reproducible.
  • Manage calculations on HPC or cloud compute environments and troubleshoot convergence issues.
  • Summarize results in clear written notes, including assumptions, input parameters, outputs, limitations, and recommended next steps.

What You'll Bring
Required skills
Candidates should already have hands-on experience with:
  • Quantum ESPRESSO or VASP.
  • DFT workflows including relaxation, SCF, and convergence testing.
  • Spin-polarized calculations and magnetic materials.
  • Python-based structure handling and post-processing, such as pymatgen, ASE, or similar tools.
  • Pseudopotential / PAW datasets and practical choices around functional, cutoff, k-point mesh, convergence, and validation.
  • HPC job management using SLURM, PBS, or similar systems.

Helpful but not required
Experience with any of the following would be especially useful:
  • Ferrites, spinels, perovskites, piezoelectric materials, magnetostrictive materials, or multiferroics.
  • DFPT calculations for dielectric, elastic, Born charge, or piezoelectric tensors.
  • Magnetostriction, spin-orbit coupling, noncollinear magnetism, or magnetic anisotropy.
  • Core/shell nanoparticle modeling or interface modeling.
  • Cloud compute workflows.

Who this role suits
This role is appropriate for:
  • Final-year PhD students in computational materials science, physics, chemistry, or related fields.
  • Postdocs with publications or dissertation work in first-principles simulation.
  • MSc graduates with strong hands-on DFT project experience.
  • Industry or national lab researchers with relevant computational materials experience.

Engagement model
This is a paid part-time contract or paid advanced internship, depending on experience level and availability. Work will be remote and flexible. The selected candidate will receive defined calculation goals and will be expected to return validated results with concise written interpretation.
Ideal outcome
The goal is to help build a computational design workflow that can compare candidate nanoparticle materials, identify promising core and core/shell designs, and feed those candidates into a broader AI-guided nanoparticle ranking and prioritization framework.
Subsense is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply