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Contract Brain Computer Interface Jobs (NOW HIRING)

Paradromics

Research Engineer

Oakland, CA · On-site

$120K - $150K/yr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

Neuralink

Analog IC Layout Engineer

Fremont, CA · On-site

$83K - $139K/yr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We ...

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 ...

Paradromics

Software Engineer

Oakland, CA · On-site

$120K - $150K/yr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

Neuralink

Digital IC Design Engineer Intern

Fremont, CA · On-site

$35/hr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We ...

Synchron Inc.

Field BCI Specialist-Buffalo, NY

Buffalo, NY · Remote

$90K - $120K/yr

About Synchron Synchron's vision is to build non-surgical brain-computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission ...

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All JobsContract Brain Computer Interface Jobs

Contract Brain Computer Interface information

See salary details

$11K

$123.4K

$173.5K

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

As of Jun 20, 2026, the average yearly pay for contract brain computer interface in the United States is $123,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $164,500.00 per year, depending on experience, location, and employer.

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

AspectContract Brain Computer InterfaceContract Neural Engineer
Required CredentialsTypically requires neuroscience, biomedical engineering, or related degrees; experience with BCI technologyRequires neuroscience, biomedical engineering, or related degrees; expertise in neural systems and signal processing
Work EnvironmentResearch labs, tech companies, healthcare settingsResearch institutions, biotech firms, healthcare facilities
Employer & Industry UsageTech companies developing BCI devices, research institutionsBiomedical companies, research labs focusing on neural systems

Both roles involve working with neural systems and require similar educational backgrounds. Contract Brain Computer Interface specialists focus on developing and implementing BCI devices, while Contract Neural Engineers work on understanding neural signals and designing neural interfaces. The main difference lies in their specific focus areas within neural technology development.

What are some common challenges faced by professionals working on a contract basis in Brain-Computer Interface (BCI) projects?

One common challenge for contract professionals in BCI is quickly adapting to diverse project scopes and rapidly changing technologies. Since many teams are interdisciplinary, you may need to collaborate closely with neuroscientists, software engineers, and hardware specialists, which requires strong communication skills and flexibility. Additionally, contract roles often require independent time management and the ability to deliver results within tight deadlines, as projects can be highly research-driven and iterative. Building a network within the BCI community and staying updated with the latest advancements can help you overcome these challenges and succeed in a contract-based environment.

What are Contract Brain Computer Interface specialists?

Contract Brain Computer Interface (BCI) specialists are professionals hired on a contract basis to work on projects involving the development, implementation, or integration of technologies that connect the human brain with computers or external devices. These specialists may be involved in designing BCI systems, developing software and hardware, conducting research, or supporting clinical applications. Their work is often project-based and can span industries such as healthcare, neuroscience, gaming, and assistive technology. Contract BCI specialists typically have expertise in neuroscience, engineering, computer science, or related fields, and they bring their skills to organizations needing temporary or specialized BCI expertise.

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

To thrive as a Contract BCI Engineer, you typically need expertise in neuroscience, signal processing, programming (e.g., Python, MATLAB), and a relevant degree in biomedical engineering, neuroscience, or computer science. Familiarity with BCI hardware/software platforms, data acquisition systems, and certifications in neurotechnology tools are commonly required. Strong problem-solving, collaboration, and communication skills help you effectively work with interdisciplinary teams and adapt to project needs. These skills are crucial for developing innovative, reliable BCI solutions that translate neural signals into actionable data for real-world applications.
More about Contract Brain Computer Interface jobs
What cities are hiring for Contract Brain Computer Interface jobs? Cities with the most Contract Brain Computer Interface job openings:
What are the most commonly searched types of Brain Computer Interface jobs? The most popular types of Brain Computer Interface jobs are:
What states have the most Contract Brain Computer Interface jobs? States with the most job openings for Contract Brain Computer Interface jobs include:
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Contract Brain Computer Interface jobs near you
Infographic showing various Contract Brain Computer Interface job openings in the United States as of June 2026, with employment types broken down into 22% Full Time, 41% Part Time, 36% Contract, and 1% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $123,374 per year, or $59.3 per hour.

Computational Materials Scientist (Contract)

Subsense

Palo Alto, CA • On-site, Remote

Contractor

Posted 3 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.

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