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Neural Engineering Jobs in Raleigh, NC (NOW HIRING)

ClifyX

AI ML Data Scientist

Cary, NC · On-site

... Recurrent Neural Networks • Database - SQL, Advance SQL, Oracle, NoSQL • Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark • Statistical & Data Management ...

Qualcomm

Sr Software Engineer, AI Tools - Quantizer

Raleigh, NC · On-site

$119K - $157K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading ... Our inference engine empowers developers to deploy neural network models on Snapdragon platforms at ...

Pwc

AI Engineer

Raleigh, NC · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... neural networks and deep learning methods for advanced AI applications - Managing data quality and ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

Build and maintain end-to-end ML pipelines on Databricks from feature engineering and model ... neural networks) to solve grid operations problems. * Develop predictive maintenance and ...

Accenture

Senior Data Scientist

Raleigh, NC · On-site

Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy ... Design and implement deep-learning solutions using neural networks, transformers, convolutional ...

Varsity Tutors

Machine Learning Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Durham, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for neural engineering in Raleigh, NC is $18.77, 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 neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

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

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
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Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Raleigh, NC as of August 2026, with employment types broken down into 5% Internship, 76% Full Time, and 19% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $39,053 per year, or $18.8 per hour.

Software Engineer, Neural Graphics Developer Tools

Nvidia

Durham, NC

$135K - $167K/yr

Full-time

Posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

Are you passionate about 3D graphics, GPUs, and pushing the boundaries of rendering technology? Have you ever dreamed of helping bring video games to life by creating tools that empower developers to integrate innovative new graphics techniques? Do you want to work with a fast, agile, and experienced team? Are you ready to move at the speed of light?

NVIDIA is seeking a deeply technical, creative and innovative software engineer help pioneer the next generation of Graphics Developer Tools. In this role, you will work closely with our research team to develop new tools and related technologies that not only streamline graphics performance but also support emerging technologies, like neural rendering, to enhance visual quality and efficiency.

What you'll be doing:

As a key member of the team, you will create new technical designs and implement features while working in an agile environment. You can expect to:

  • Improve existing tools for NVIDIA GPUs, enabling developers to quickly identify and resolve rendering and performance issues.

  • Create innovative new tools that bridge AI & graphics in next generation workflows.

  • Collaborate closely with internal and external partners, including teams within NVIDIA such as the Compiler, Driver, Research, and GPU Architecture teams.

  • Drive technology discussions and provide feedback on system architecture.

  • Accurately estimate and prioritize tasks in order to create realistic delivery schedules.

  • Write fast, effective, maintainable, reliable and well-documented object-oriented code.

  • Document requirements and designs, and review documents with key partners.

  • Meet with the QA Department to develop test plans for new features.

What we need to see:

  • BS/MS in Computer Science, Computer Engineering, or equivalent experience.

  • 5+ years of relevant work experience in software development

  • Real passion for 3D graphics, AI, and low-level programming with 5+ years of relevant industry experience.

  • Excellent C/C++ programming skills.

  • Ability to provide accurate estimates to ensure delivery of software on time.

  • Knowledge of 3D Graphics Algorithms and GPU Architectures, with proficiency in at least one 3D Graphics API such as Direct3D, OpenGL, or Vulkan.

  • Demonstrated experience with AI and deep learning techniques, including familiarity with neural network architectures, CUDA, and frameworks such as TensorFlow or PyTorch.

  • Deep understanding of computer architecture concepts such as virtual memory, caches, registers, threads, and heterogeneous computing.

  • Excellent written and verbal communication skills.

Ways to stand out from the crowd:

  • Familiarity with deep learning and AI, particularly in applying these technologies to enhance graphics performance and quality.

  • Background in the game industry, research, or in a field that requires high-performance graphics.

  • Be able to demonstrate initiative and determination to get things done.

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here.

If you're highly technical and enthusiastic about 3D Graphics, we want to hear from you! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.

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 August 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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