2

Remote Neural Engineer Jobs in Coppell, TX (NOW HIRING)

Analog Design Engineeer - Neuromodulation

Richardson, TX · On-site +1

$182K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are seeking an experienced Analog Circuit Design Engineer with 7+ years of experience in custom ... Richardson, TX (Hybrid) Remote eligibility available for qualified candidates Key Responsibilities ...

Data Scientist

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Data Scientist

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Remote Neural Engineer information

See Coppell, TX salary details

$54.9K

$103.1K

$187.4K

How much do remote neural engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote neural engineer in Coppell, TX is $103,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $122,300.00 per year, depending on experience, location, and employer.

What is a remote neural engineer?

A Remote Neural Engineer is a professional who designs, develops, and maintains neural engineering systems—such as brain-computer interfaces or neural prosthetics—while working remotely. They often collaborate with multidisciplinary teams to create solutions that interface with the nervous system, using expertise in neuroscience, biomedical engineering, and software development. Remote Neural Engineers may work from home or distributed locations, utilizing digital tools to analyze neural data, develop algorithms, and contribute to research or product development in the neural technology field.

What are the key skills and qualifications needed to thrive as a remote neural engineer, and why are they important?

To thrive as a Remote Neural Engineer, you need a solid background in neuroscience, biomedical engineering, or electrical engineering, often supported by a relevant degree or advanced certification. Proficiency with neural signal processing software, programming languages like Python or MATLAB, and brain-computer interface (BCI) systems is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are vital soft skills in this role. These skills and qualities are essential for developing, analyzing, and troubleshooting complex neural systems while collaborating with teams remotely.

How do remote neural engineers typically collaborate with cross-functional teams while working off-site?

Remote Neural Engineers frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with colleagues in neuroscience, software development, and data science. Regular virtual meetings and asynchronous communication help ensure alignment on project goals, data analysis, and protocol development. This structure allows for flexibility, but also requires proactive communication and strong organizational skills to manage complex, interdisciplinary tasks from a distance.

What is the difference between Remote Neural Engineer vs Remote Data Scientist?

AspectRemote Neural EngineerRemote Data Scientist
Required CredentialsDegree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfacesDegree in computer science, statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, tech companies, healthcare institutions with focus on neural dataTech firms, finance, healthcare, analyzing large datasets
Industry UsageNeuroscience, biomedical engineering, neurotechnologyTechnology, finance, healthcare, research
Common Search/ComparisonYesYes

Remote Neural Engineers focus on developing and implementing neural interfaces and understanding neural systems, often requiring knowledge of neuroscience and biomedical engineering. Remote Data Scientists analyze large datasets to extract insights, typically with skills in statistics and programming. While both roles involve technical expertise and data analysis, Neural Engineers are more specialized in neural technologies, whereas Data Scientists have a broader application across industries.

How much money do remote neural engineers make?

Remote neural engineers typically earn between $80,000 and $150,000 annually, depending on experience, education, and the complexity of projects. Senior professionals with specialized skills in neural signal processing and machine learning can earn higher salaries, especially when working for research institutions or tech companies.

Is remote neural engineering a good career?

Remote neural engineering is a specialized field involving the development of brain-computer interfaces and neural signal processing, often requiring expertise in neuroscience, engineering, and programming. It offers opportunities in research, healthcare, and technology sectors, with a growing demand for skilled professionals due to advances in neurotechnology and remote collaboration tools.

What are popular job titles related to Remote Neural Engineer jobs in Coppell, TX?

For Remote Neural Engineer jobs in Coppell, TX, the most frequently searched job titles are:

What cities near Coppell, TX are hiring for Remote Neural Engineer jobs?

Cities near Coppell, TX with the most Remote Neural Engineer job openings:

Infographic showing various Remote Neural Engineer job openings in Coppell, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $103,055 per year, or $49.5 per hour.

Analog Design Engineeer - Neuromodulation

IC Enable

Richardson, TX • On-site, Remote

$182K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago


Job description

Own and lead the development of analog integrated circuits for neuromodulation medical devices—from first principles through silicon and into real-world use. You’ll work on ultra-low-power designs that interface directly with the human nervous system, contributing to technologies that have a meaningful impact on patient care. This includes restoring function, monitoring neurological conditions, and enabling new therapeutic approaches.
We are seeking an experienced Analog Circuit Design Engineer with 7+ years of experience in custom mixed-signal circuit design, specifically focused on neural sensing and stimulation technologies for medical and implantable applications. Strong experience across the following areas is desired: design of ultra-low-power front-ends for sensing neural signals (EEG, EMG), high-efficiency stimulator output stages, power management architectures, data converters, low-noise and low-power amplifiers, RF wireless data transmission (FSK, ASK), and CT filters.
The ideal candidate will have experience supporting implantable hardware design and bioelectronics systems requiring high reliability, low power consumption, and compliance with medical safety standards. We value a quality-driven mindset, strong communication skills, and a startup-oriented approach—taking ownership, staying adaptable, and contributing wherever needed to move the work forward.

Open Position:
Richardson, TX (Hybrid)
Remote eligibility available for qualified candidates
Key Responsibilities:
• Design analog building blocks including PLLs, low-noise amplifiers, charge pumps, bandgaps, serial interfaces, ADC/DAC converters, DC regulators, analog filters, and ultra-low-power front-ends
• Develop high-efficiency stimulator output stages and power management architectures for advanced mixed-signal ASIC applications
• Run pre-tapeout verification flows to confirm designs meet performance, power, reliability, and timing requirements
• Collaborate with layout and digital teams to deliver high-quality mixed-signal SoCs, including physical design support and post-silicon validation planning
• Create and maintain project documentation and contribute to improving design flows and methodologies
• Lead and mentor junior engineers
Qualifications:
• MSEE/PhD with 3–10 years of experience or BSEE with 5–10 years of experience (MS or PhD preferred)
• Hands-on experience with analog and mixed-signal design including low-noise/low-power amplifiers, ADCs, DACs, LDOs, bandgaps, charge pumps, RF wireless transmission, and power management architectures
• Experience with medical, implantable, or bioelectronics systems is strongly preferred
• Proficient with Cadence custom circuit design tools such as ADE-L and ADE-XL and performing Monte Carlo, noise, aging, EM/IR drop, and stability simulations (Synopsys Custom Compiler experience is a plus)
• Strong experience with simulation tools such as Spectre, Hspice, and PrimeSim
• MATLAB, SystemVerilog, and Python experience preferred
• Capable of understanding DRC and LVS results using verification tools such as Calibre, ICV, or PVS
• Strong analytical and problem-solving skills with excellent attention to detail
• Self-starter capable of independently driving tasks to completion while collaborating effectively within cross-functional teams

About IC Enable:
For over 20 years, IC Enable has provided design IP, IC products, and platform solutions to customers ranging from startups to Fortune 50 companies. Our work spans high-reliability mixed-signal and digital systems, with deep expertise across semiconductor, medical, and defense applications.
We specialize in full-custom ASIC/SoC development and advanced technology platforms, tackling some of the most challenging fabrication processes and product requirements in the industry.
At IC Enable, our team is our most valuable asset. We look for individuals who are hungry, humble, and smart — and who are excited to grow with us.
IC Enable benefits include Medical, Dental, Vision and Ancillary benefits, 401K Plan with Company Match program.
IC Enable is an Equal Opportunity Employer.

IC Enable logo

About IC Enable

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

51 - 200 Employees

Headquarters location

Dallas, TX, US

Year founded

2004