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Internship Brain Computer Interface Jobs in Allen, TX

R&D Senior Process Engineer

Addison, TX ยท On-site

$135 - $150/hr

As a Precision employee, you'll join one of the fastest-moving and best-capitalized companies in the emerging field of brain-computer interfaces. Since our founding in 2021, we have raised more than ...

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DoD SkillBridge Internship: Field Technician (501814) SkillBridge Host Company: SIEMENS SkillBridge ... Interface with the customers: complete the service work documentation, assist them with training ...

DoD SkillBridge Internship: Field Technician (501745) SkillBridge Host Company: SIEMENS SkillBridge ... Interface with the customers: complete the service work documentation, assist them with training ...

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Currently pursuing a Master's degree in Engineering or a related field (Computer Science ...

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Currently pursuing a Master's degree in Engineering or a related field (Computer Science ...

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Internship Brain Computer Interface information

See Allen, TX salary details

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How much do internship brain computer interface jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship brain computer interface in Allen, TX is $21.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.60 per hour, depending on experience, location, and employer.

What is an internship brain computer interface?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

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

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

What types of projects or tasks are typically assigned to interns in brain computer interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.

What job categories do people searching Internship Brain Computer Interface jobs in Allen, TX look for? The top searched job categories for Internship Brain Computer Interface jobs in Allen, TX are:
What cities near Allen, TX are hiring for Internship Brain Computer Interface jobs? Cities near Allen, TX with the most Internship Brain Computer Interface job openings:
Infographic showing various Internship Brain Computer Interface job openings in Allen, TX as of June 2026, with employment types broken down into 65% Full Time, 23% Part Time, 8% Contract, and 4% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,296 per year, or $21.3 per hour.

R&D Senior Process Engineer

Neara

Addison, TX โ€ข On-site

$135 - $150/hr

Other

Posted 2 days ago

New


Job description

R&D Senior Process Engineer

Job type: Full Time ยท Department: Microfabrication ยท Work type: Hybrid ยท USD 135,000-150,000 / year

Addison, Texas, United States

ABOUT PRECISION NEUROSCIENCE

Precision Neuroscience is building a next-generation brainโ€“computer interface (BCI) to heal and empower millions of people living with neurological conditions.

Our first product, Layer 7, is designed to help people with severe paralysis operate digital devices using only their thoughtsโ€”opening up new possibilities for daily life.

Our team brings together experts in neurosurgery, AI and machine learning, microfabrication, electrical engineering, clinical science, and more. We combine deep technical rigor with a people-first mindset to turn breakthrough research into real-world medical solutions.

As a Precision employee, youโ€™ll join one of the fastest-moving and best-capitalized companies in the emerging field of brainโ€“computer interfaces. Since our founding in 2021, we have raised more than $180 million, advanced our technology through validation, and initiated human trials with leading hospitals across the country.

Our Values:

We build for human impact, measuring progress by the lives our work can change.

We do no harm, holding ourselves to the highest standards of safety, integrity, and responsibility.

We innovate with urgency because the stakes are high and our users canโ€™t wait.

We bring sharp minds, open ears, pairing expertise with curiosity, humility, and respect.

And we lead the way, taking ownership of our work and helping to shape the future of our field.

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 manufacturing and materials development. You will lead this work in our in-house ISO-certified MEMS facility in Addison, TX.

You will span the range of technology development from early research to early production, bridging the gap from feasibility to scale-up.

This position will be based in our Addison, TX office. We are unable to consider remote workers or individuals who are not currently based in the US and legally authorized to work in the US.

Key Responsibilities
  • Lead the design and development of thin film ceramic encapsulation/insulation layers integrated with polymer films.
  • Define material selection criteria and deposition strategies (ALD, PECVD, sputtering, e-beam evaporation) based on required film properties: barrier performance, dielectric strength, stress/adhesion behavior, and biocompatibility.
  • Characterize film properties and analyzing data from techniques such as ellipsometry, XRD, SEM/TEM, profilometry, and electrochemical impedance spectroscopy (EIS).
  • Collaborate with process engineers to integrate ceramic thin film steps into a MEMS microfabrication flow (e.g., photolithography, etching, metallization).
  • Develop test structures and DOEs to systematically evaluate ceramic film performance as a function of deposition parameters, thickness, and multilayer stack design.
  • Author technical reports, process documentation, and IP disclosures; present findings to internal stakeholders and, where appropriate, at scientific conferences or in peer-reviewed publications.
  • Stay current with emerging thin film ceramic materials and deposition technologies relevant to implantable bioelectronics, and recommend adoption where beneficial.
Skills, Knowledge and Expertise Qualifications
  • Ph.D. in Materials Science, Electrical Engineering, Chemical Engineering, Physics, or a related field, with a research focus on thin film ceramics or dielectric materials (or M.S. with equivalent industry experience).
  • 5+ years of handsโ€‘on experience with thin film ceramic deposition techniques (ALD, PECVD, sputtering, eโ€‘beam evaporation) and a deep understanding of the structureโ€‘property relationships governing film performance.
  • Experience in thin film characterization methods such as ellipsometry, XRD, SEM/TEM, AFM, profilometry, and electrochemical impedance spectroscopy (EIS).
  • Strong working knowledge of MEMS microfabrication processes (photolithography, dry/wet etching, metallization, wafer/substrate handling) and cleanroom experience.
  • Proven ability to design and interpret test studies for evaluating encapsulation or barrier film reliability.
  • Understanding of failure mechanisms in multilayer thin film stacks, including interfacial adhesion, stress management, and mechanical fatigue under flexing or cyclic loading.
  • Excellent experimental design (DOE) skills and data analysis capabilities to drive process optimization decisions.
  • Strong written and verbal communication skills, with experience documenting technical processes and presenting findings to crossโ€‘functional teams.
Preferred Experience
  • Experience with nanolaminate or multilayer ceramic barrier stack design for moisture/ion barrier applications.
  • Background in chronic in vivo or in vitro reliability testing of implantable electronics.
  • Track record of peerโ€‘reviewed publications or patents in thin film ceramics, MEMS, or bioelectronics.
  • Familiarity with biocompatibility and regulatory standards for implantable devices (ISO 10993, ISO13485 FDA guidance documents).
  • Experience mentoring or leading small technical teams in a startup or fastโ€‘paced R&D environment.
  • Familiarity with waferโ€‘level or panelโ€‘level packaging and hermetic sealing approaches for implantable microdevices.

Diverse workforces create the best culture, company, and products. We at Precision are committed to an inclusive culture that celebrates the uniqueness and contributions of everyone.

As an equal opportunity employer, Precision does not discriminate on the basis of sex, race, religion, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment.

We prioritize candidate security. Please be aware that job offers will only come from emails ending with @precisionneuro.io

For roles based in Massachusetts: it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Precision Neuroscience does not accept unsolicited resumes or candidate profiles from recruitment agencies, staffing firms, or thirdโ€‘party recruiters. Any resumes submitted without a prior written agreement and an authorized job order will be considered the property of Precision Neuroscience, and no fee will be owed in the event a candidate is hired. All qualified candidates should apply directly through our careers page.

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