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Neural Interface Research Jobs in Forney, TX (NOW HIRING)

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 ...

Gen AI Lead - TX

Irving, TX

$15.50 - $18.75/hr

... Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ... Stay at the forefront of Gen AI research, actively exploring new tools, frameworks (Langchain ...

Sr HBM Design Architect, PhD NCG

Richardson, TX · On-site

$97K - $205K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... breakthroughs in neural networks possible. We do it all while committing to integrity ... Conduct research and design leveraging AI Successful candidates for this position will have:

Neural Interface Research information

What is the difference between Neural Interface Research vs Neural Engineering?

AspectNeural Interface ResearchNeural Engineering
Required CredentialsAdvanced degrees in neuroscience, biomedical engineering, or related fieldsSimilar credentials, often with additional focus on device design and implementation
Work EnvironmentResearch labs, universities, biotech companiesResearch labs, medical device companies, clinical settings
Industry UsageFocuses on developing and understanding neural interfacesDesigning, testing, and applying neural interface devices
Common Search IntentResearch methods, latest advancements, academic rolesProduct development, device engineering, clinical applications

Neural Interface Research primarily involves exploring and understanding neural interfaces through scientific investigation, while Neural Engineering focuses on designing and developing neural interface devices for practical use. Both roles require similar educational backgrounds but differ in their application and work environment.

What are the key skills and qualifications needed to thrive in neural interface research?

To thrive in Neural Interface Research, you need advanced knowledge in neuroscience, biomedical engineering, and signal processing, often supported by a graduate degree in a related field. Proficiency with programming languages (such as Python or MATLAB), neural data acquisition systems, and simulation tools is typically required. Exceptional problem-solving abilities, collaboration, and strong communication skills help researchers innovate and translate findings across multidisciplinary teams. These skills are crucial for developing cutting-edge neural technologies and ensuring rigorous, impactful scientific progress.

What is neural interface research?

Neural interface research is the scientific study and development of technologies that connect the nervous system, particularly the brain, with external devices or computers. These interfaces, often called brain-computer interfaces (BCIs) or neural prosthetics, enable direct communication between neural tissue and electronic systems. The goal of this research is to restore lost sensory or motor functions, treat neurological disorders, or enhance human capabilities. Neural interface research is highly interdisciplinary, involving neuroscience, engineering, computer science, and medicine. Advances in this field have the potential to revolutionize healthcare and human-machine interaction.

What are some common interdisciplinary challenges faced by professionals in neural interface research teams?

Neural Interface Research teams often bring together experts from neuroscience, engineering, computer science, and clinical backgrounds, which can lead to challenges in communication and aligning goals across disciplines. Collaborators may use different terminology or have varying expectations regarding project timelines and outcomes. Successful professionals in this field need to be proactive in fostering clear communication, demonstrating adaptability, and developing a basic understanding of adjacent fields to effectively contribute to collaborative projects. These interdisciplinary challenges ultimately offer valuable opportunities for personal growth and innovation.

What cities near Forney, TX are hiring for Neural Interface Research jobs?

Cities near Forney, TX with the most Neural Interface Research job openings:

R&D Senior Process Engineer

Neara

Addison, TX • On-site

$135 - $150/hr

Other

Posted 8 days ago


Job description

R&D Senior Process Engineer

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

Addison, Texas, United States

ABOUT PRECISION NEUROSCIENCE

Precision Neuroscience is building a next-generation brain–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 thoughts—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, 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 $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 can’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 hands‑on experience with thin film ceramic deposition techniques (ALD, PECVD, sputtering, e‑beam evaporation) and a deep understanding of the structure‑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 cross‑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 peer‑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 fast‑paced R&D environment.
  • Familiarity with wafer‑level or panel‑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 third‑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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