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Neural Engineering Internship Jobs in Raleigh, NC

Neural Engineering Internship information

See Raleigh, NC salary details

$10

$18

$28

How much do neural engineering internship jobs pay per hour?

As of May 29, 2026, the average hourly pay for neural engineering internship in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What is a Neural Engineering Internship job?

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 are the key skills and qualifications needed to thrive in the Neural Engineering Internship position, 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 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 job categories do people searching Neural Engineering Internship jobs in Raleigh, NC look for? The top searched job categories for Neural Engineering Internship jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Neural Engineering Internship jobs? Cities near Raleigh, NC with the most Neural Engineering Internship job openings:
Infographic showing various Neural Engineering Internship job openings in Raleigh, NC as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,053 per year, or $18.8 per hour.
Senior System Software Engineer, 3D Computer Vision

Senior System Software Engineer, 3D Computer Vision

Nvidia

Durham, NC • On-site

Full-time

Posted 15 days ago


Job description

NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. It's a unique legacy of innovation fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing - an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Our team is comprised of talented scientists and engineers who thrive in a fast-paced, energetic environment. We are at the forefront of deep learning, computer vision, and computer graphics. This is an exceptional opportunity to work alongside industry experts and contribute to cutting-edge projects. We seek strategic, ambitious, and hard-working individuals who are not only creative but also passionate about tackling complex problems that others may shy away from.


What you will be doing:

  • Help building high-fidelity 3D scene representations from sparse or multi-view data.

  • Collaborate closely with research and development teams to design, train, and deploy advanced neural reconstruction models.

  • Develop models that capture geometry, appearance, and semantics, to generate 3D scenes and integrate them into production systems and tools.

  • Help push the boundaries of neural reconstruction technology and tackle intellectually demanding, highly impactful challenges.

What we need to see:

  • Masters degree or equivalent experience; or preferably a PhD degree in Computer Science or a related field.

  • 5+ years of experience programming skills in Python and C/C++.

  • Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.

  • Strong background in computer vision and deep learning.

  • Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release): proven track record developing, testing, and releasing production-grade, complex software.

  • Ability to develop code in Unix/Linux environments.

  • Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.

  • Strong collaboration skills to partner with algorithm designers, application developers, and infrastructure and MLOps teams.

Ways to stand out from the crowd:

  • Previous experience with 3D computer vision, object reconstruction, scene reconstruction, and computer graphics.

  • Previous experience with Gaussian Splatting, NeRF, and similar methods.

  • Proficiency with CUDA.

  • Ability to convert research into product.

With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous Systems Software Engineer, who loves challenges? Do you have a genuine passion for advancing the state of Computer Vision 3D across a variety of industries? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993