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Neural Engineer Jobs (NOW HIRING)

NVIDIA Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$163K - $201K/yr

At NVIDIA, our Neural Graphics team builds technologies at the intersection of AI and real-time rendering. We reach millions of developers and creators through products like Alpasim, open platforms ...

Nvidia Corporation

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

At NVIDIA, our Neural Graphics team builds technologies at the intersection of AI and real-time rendering. We reach millions of developers and creators through products like Alpasim, open platforms ...

NVIDIA

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

They are seeking a Neural Graphics Engineer to implement and optimize neural graphics techniques, prototype new approaches, and contribute to their graphics software stack. Responsibilities : • ...

Nvidia

Neural Graphics Engineer

Santa Clara, CA · On-site

$164K - $203K/yr

At NVIDIA, our Neural Graphics team builds technologies at the intersection of AI and real-time rendering. We reach millions of developers and creators through products like Alpasim, open platforms ...

Nvidia

We are now looking for a GPU Performance Engineer for Neural Reconstruction! NVIDIA is building the future of computer graphics, simulation, robotics, and embodied AI. Neural reconstruction and ...

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Neural Engineer information

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$59.5K

$111.6K

$203K

How much do neural engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for neural engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What does a neural engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive as a neural engineer?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What types of projects and collaborations can a neural engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

How much does a neural engineer make?

The average salary for a neural engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals in this field often hold advanced degrees in neuroscience, engineering, or related areas and work in research institutions, healthcare, or tech companies specializing in brain-computer interfaces and neural technologies.

Is neural engineering a good career?

Neural engineering is a growing 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 career can be rewarding for those interested in innovative medical solutions and interdisciplinary work.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often find employment in healthcare, biotech, and academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and cognitive enhancement.
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Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab

Harvard University

Cambridge, MA • On-site

$67K - $91K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

83rd of 622 rated colleges and universities

Job description

Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab

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

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

Keywords

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

  • Curriculum Vitae

Optional Documents

  • Cover Letter
  • Statement of Research
  • Publication
  • Publication 2
  • Publication 3
  • Other

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