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Neural Engineering Jobs (NOW HIRING)

NVIDIA

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

Required : • BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related ... neural rendering (NeRF, Gaussian splatting, differentiable rendering) or generative AI for 3D ...

Nvidia Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

Neural techniques are reshaping how we render, simulate, and create visual content in real time ... Engineering, Physics, or a related field (or equivalent experience) * At least 2-4 years od ...

NVIDIA Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$163K - $201K/yr

Neural techniques are reshaping how we render, simulate, and create visual content in real time ... Engineering, Physics, or a related field (or equivalent experience) * At least 2-4 years od ...

Nvidia

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

Neural techniques are reshaping how we render, simulate, and create visual content in real time ... Engineering, Physics, or a related field (or equivalent experience) * At least 2-4 years od ...

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How much do neural engineering jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for neural engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 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.

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 the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab

Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab

Harvard University

Cambridge, MA • On-site

$67K - $91K/yr

Full-time

Posted 12 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

81st of 611 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Bioengineering
Position Description
The Srinivasan Lab is looking to hire two postdoctoral fellows who are motivated, hard working, and creative scientists, engineers, and/or doctors. The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/
We are recruiting fellows from diverse backgrounds interested in solving tough problems in neural interfacing.
Projects involve peripheral nerve regeneration, mechanoreceptor-specific targeting, and surgical reconstruction for prosthetic interfacing.
Basic Qualifications
  • A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience

Additional Qualifications
  • Experience in tissue culture, neuromuscular diseases, neuromodulation technologies, biomechanics, human studies
  • Extensive experience with at least two of the following: electrophysiology, rodent experimentation, programming of controllers, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models
  • Track record of disseminating research through impactful publications and presentations (at least three first author publications)
  • Desire to work in a multidisciplinary and diverse team environment
  • Desire to train and collaborate with PhD, MS, and undergraduate lab members
  • Willingness to participate in grant writing

Special Instructions
Required Application documents
  • CV and 2-3 letters of recommendation

Recommended additional materials:
  • Cover letter (max 1 page)
  • Research statement (max 2 pages)
  • 3 representative publications
  • Deck of slides (max 10) to describe prior research experience

Supplemental Application Questions to Answer in your Cover Letter:
  • What sorts of projects would you like to carry out in the lab?
  • What are your greatest strengths and areas you would like to improve on?

Contact Information
Melissa Mendez mmendez@seas.harvard.edu
Contact Email
mmendez@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
2
Maximum Number of References Allowed
3
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