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Neural Engineering Internship Jobs in Texas (NOW HIRING)

Data Scientist

Austin, TX · On-site

$101K/yr

... internship or related occupation involving: 1. React js; 2. Retool, MongoDB, GraphQL; 3. ... Python, 4. Programming in C/C++, 5. Data Structures Implementation and Analysis, 6. Machine ...

Senior AI Compiler Engineer, MLIR

Austin, TX · On-site

$121K - $160K/yr

... neural networks, and contribute to other general software engineering work. What we need to see ... A track record of mentoring early career engineers and interns is a bonus With competitive salaries ...

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... neural networks, and other general software engineering work. What we need to see: * Bachelors ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... neural networks * Experience with at least one statistical programming language: SAS, R, and/or ...

Showing results 21-31

Neural Engineering Internship information

What is a neural engineering internship?

A Neural Engineering Internship provides hands-on experience in the field of neural interfaces, brain-computer interfaces (BCIs), and neuromodulation. Interns typically work on signal processing, machine learning, and hardware development for neurotechnology applications. They may assist in designing experiments, analyzing neural data, or developing medical devices. This role is ideal for students in biomedical engineering, neuroscience, or computer science who want to gain practical experience in neurotechnology.

What types of projects or tasks can I expect to work on during a neural engineering internship?

As a Neural Engineering Intern, you can expect to participate in a variety of hands-on projects such as analyzing neural data, helping design and test brain-computer interface systems, or developing algorithms for neural signal processing. You may also work closely with researchers and engineers to assist in laboratory experiments, device prototyping, or software development. Many internships include literature reviews, data visualization, and the opportunity to present findings to the team. These tasks are designed to give you a comprehensive introduction to current research and industry practices within neural engineering.

What are the key skills and qualifications needed to thrive in the neural engineering internship, and why are they important?

To thrive as a Neural Engineering Intern, you need a strong background in neuroscience, biomedical engineering, or electrical engineering, along with coursework or experience in signal processing and computational modeling. Familiarity with programming languages such as MATLAB or Python and use of lab equipment like EEG, MEG, or neural recording systems are highly beneficial. Critical thinking, effective communication, and a collaborative mindset help interns excel in research-driven, multidisciplinary teams. These skills enable interns to contribute meaningfully to projects, adapt to complex challenges, and succeed in this innovative field.

What are the most commonly searched types of Neural Engineering jobs in Texas?

The most popular types of Neural Engineering jobs in Texas are:

What are popular job titles related to Neural Engineering Internship jobs in Texas?

For Neural Engineering Internship jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Neural Engineering Internship jobs?

Cities in Texas with the most Neural Engineering Internship job openings:

Infographic showing various Neural Engineering Internship job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution.

$101K/yr

Full-time

Posted 9 days ago


Job description

Job Description:

Duties: Designs, develops and performs data scientist responsibilities in conjunction with NXP's global operations business unit from product definition and planning through production, release and end of life. Serves as the central resource with design, process, manufacturing, test, and quality. Identify business needs and propose appropriate data system or tool solutions. Partner with software vendors to align internal development efforts with their roadmaps. Mine and analyze data from company databases to identify pain points and create continuous improvement strategies. Assess the effectiveness and accuracy of new and existing data sources and identify root causes of errors. Develop custom data models and algorithms and analyze/monitor model performance to improve operational metrics. Involvement lasts throughout all stages of a product's lifecycle including modifications, upgrades and maintenance of the product or product line.

Qualifications:

Bachelor degree in Computer Science, Data Science, foreign equivalent or related field.

Required skills:

Position requires knowledge gained via completion of a university-level course, research project, internship or related occupation involving:

1. React js;

2. Retool, MongoDB, GraphQL;

3. Intermediate Programming with Python,

4. Programming in C/C++,

5. Data Structures Implementation and Analysis,

6. Machine Learning/Data Mining,

7. Design and Analysis of Algorithms, Graph Algorithms, and Algorithm Graph Models, and

8. Neural Networks and Deep Learning.

Salary: $101,230 per year.

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

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