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Neural Signal Processing Jobs in Dallas, TX (NOW HIRING)

... signal from complex sensor, equipment, and process data, build production-grade anomaly detection ... complex neural network. You are self-directed. You find anomaly patterns others miss, propose ...

Experience with computer vision, perception systems, or signal processing. * Background in ... of neural network-based real-time controllers using the Lyapunov method, analogous to classical ...

... signal from complex sensor, equipment, and process data, build production-grade anomaly detection ... complex neural network. You are self-directed. You find anomaly patterns others miss, propose ...

Staff HBM Design Architect

Richardson, TX · On-site

$146K - $297K/yr

... neural networks. Our work combines deep technical expertise with a strong culture of integrity ... Experience in mixed-signal or custom circuit design * Strong communication skills and ability to ...

Staff HBM Design Architect

Richardson, TX · On-site

$146K - $297K/yr

... neural networks. Our work combines deep technical expertise with a strong culture of integrity ... Experience in mixed-signal or custom circuit design * Strong communication skills and ability to ...

... breakthroughs in neural networks possible. We do it all while committing to integrity ... To request assistance with the application process and/or for reasonable accommodations, please ...

Neural Signal Processing information

See Dallas, TX salary details

$52.9K

$129.9K

$191.4K

How much do neural signal processing jobs pay per year?

As of Sep 1, 2026, the average yearly pay for neural signal processing in Dallas, TX is $129,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $145,900.00 per year, depending on experience, location, and employer.

What is neural signal processing?

Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.

What are the key skills and qualifications needed to thrive as a neural signal processing specialist?

To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.

What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?

Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.

What is the difference between Neural Signal Processing vs Neural Data Analyst?

AspectNeural Signal ProcessingNeural Data Analyst
Required CredentialsBackground in neuroscience, signal processing, programming (Python, MATLAB)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, healthcare, neurotechnology companiesData-focused roles in research institutions, healthcare, biotech
Industry UsageDesigning algorithms for neural signals, signal decodingAnalyzing neural data sets, interpreting results

Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Neural Signal Processing jobs in Dallas, TX?

For Neural Signal Processing jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Neural Signal Processing jobs in Dallas, TX look for?

The top searched job categories for Neural Signal Processing jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Neural Signal Processing jobs?

Cities near Dallas, TX with the most Neural Signal Processing job openings:

POSTDOCTORAL RESEARCHER - MEG - Davenport Lab [Req#: 953379, Position#: 125497]

Dallas, TX • On-site


UT Southwestern Medical Center
Hospitals • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 896 rated healthcare providers

People enjoy working here

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Full-time

Re-posted 15 days ago


Job description

Description
Our MEG Team within the Department of Radiology is looking for a postdoctoral researcher to lead and support research activities focused on mapping cerebellar-thalamic-cortical networks in patients with cerebellar disorders using advanced multimodal neuroimaging techniques. The position will involve acquisition, processing, and analysis of data from OPM-MEG and conventional clinical SQUID MEG, as well as collaboration with teams analyzing functional MRI and stereoelectroencephalography (SEEG) data.
Responsibilities include OPM-MEG system hardware and workflow development, collaborating with study coordinators to support research participant scanning, developing and implementing signal processing and source localization methods, preparing manuscripts and conference presentations, assisting with grant-related activities, mentoring trainees, and contributing to collaborative translational neuroscience research.
Qualifications
Required:
- PhD, MD/PhD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Electrical Engineering, Computer Science, Physics, Applied Mathematics, or a related field.
- Experience with neuroimaging, electrophysiology, signal processing, computational neuroscience, or related quantitative research methodologies.
- Demonstrated programming and data analysis experience using scientific computing tools such as MATLAB, Python, or similar platforms.
- Strong written and verbal communication skills.
Preferred:
- Experience with MEG, EEG, source localization, functional MRI, stereoelectroencephalography (SEEG), or related neuroimaging modalities.
- Experience analyzing neural time-series data and applying advanced statistical methods.
- Experience working in multidisciplinary research environments and contributing to collaborative research projects.
Application Instructions
Interested individuals must upload a CV and a list of three (3) references.


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