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How much do internship neuromorphic engineering jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for internship neuromorphic 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 types of projects can I expect to work on during a Neuromorphic Engineering internship?

As a Neuromorphic Engineering intern, you can expect to work on projects involving the design, simulation, and testing of hardware or software systems inspired by the structure and function of the brain. Typical tasks may include developing neural network models, experimenting with novel sensor integration, or assisting in the fabrication and characterization of neuromorphic chips. You’ll likely collaborate closely with multidisciplinary teams, including neuroscientists, hardware engineers, and software developers, gaining hands-on experience with cutting-edge technology. These projects will not only strengthen your technical skills but also provide valuable exposure to real-world research and development processes in this rapidly evolving field.

What are the key skills and qualifications needed to thrive as an Internship Neuromorphic Engineering, and why are they important?

To thrive as an intern in Neuromorphic Engineering, you typically need a strong background in electrical engineering, computer science, or neuroscience, often demonstrated through coursework or research experience. Familiarity with programming languages such as Python or C++, hardware description languages (e.g., VHDL/Verilog), and tools like MATLAB or simulation platforms is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns contribute to multidisciplinary teams and innovative projects. These skills and qualifications are crucial for effectively researching, developing, and testing neuromorphic systems in a rapidly evolving field.

What is an internship in neuromorphic engineering?

An internship in neuromorphic engineering is a temporary position, typically for students or recent graduates, that provides hands-on experience in designing and developing computer systems inspired by the structure and function of the human brain. Interns in this field often work on projects involving hardware and software for artificial neural networks, brain-inspired computing, and energy-efficient machine learning systems. These internships may involve research, circuit design, algorithm development, or testing new neuromorphic devices, offering valuable exposure to cutting-edge technologies and interdisciplinary collaboration.

What is the difference between Internship Neuromorphic Engineering vs Internship Robotics Engineering?

AspectInternship Neuromorphic EngineeringInternship Robotics Engineering
Required CredentialsRelevant coursework in neuromorphic systems, electrical engineering, or computer scienceBackground in mechanical/electrical engineering, computer science, or robotics
Work EnvironmentResearch labs, tech companies focusing on AI hardware, academiaManufacturing facilities, research labs, tech companies developing robots
Industry UsageAI hardware, neuromorphic chips, cognitive computingAutomation, manufacturing, service robots, autonomous vehicles

Internship Neuromorphic Engineering focuses on developing brain-inspired hardware and algorithms, while Internship Robotics Engineering emphasizes designing and building robotic systems. Both internships involve engineering principles but target different applications within technology and AI fields.

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Infographic showing various Internship Neuromorphic Engineering job openings in the United States as of June 2026, with employment types broken down into 10% Internship, and 90% Full Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Postdoctoral Fellow - Neuromorphic Computing - 528713

Postdoctoral Fellow - Neuromorphic Computing - 528713

The University of Alabama

Tuscaloosa, AL • On-site

$53K - $66K/yr

Full-time

Posted 3 days ago

University Of Alabama rating

7.0

Company rating: 7.0 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

355th of 541 rated colleges and universities

Job description

Postdoctoral Fellow - Neuromorphic Computing - 528713
Job no: 528713
Work type: Regular Full-time (Benefits eligible)
Location: Tuscaloosa
Categories: Other, Research/Scientific
Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8)
Department/Organization: 214251 - Electrical and Computer Eng
Normal Work Schedule: Monday - Friday 8:00am to 5:00pm
Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a mentor for the postdoctoral appointee.
Additional Department Summary: The Electrical and Computer Engineering Department at The University of Alabama is seeking candidates for a Postdoctoral Fellow position. This position is available to individuals with research interests in neuromorphic computing, IC design, embedded systems, or AI. Successful candidates will hold a terminal degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field and demonstrate a record of academic achievement in research.
Initial appointments are for one year, with renewal contingent upon demonstration of research productivity and funding.
Required Department Minimum Qualifications: Ph.D. or other terminal degree in Electrical or Computer Engineering, Computer Science, or a related field.
Candidates will need to have completed their Ph.D. or have it completed by the start of employment.
Skills and Knowledge: Experience with neuromorphic computing, IC design, embedded systems, or AI.
Preferred Qualifications: Record of publications in related top-tier journals or research conferences. Expertise in Electrical or Computer Engineering, Computer Science, or a related field.
Applicants should upload a cover letter, curriculum vitae and include at least two references in the reference section of the application. Please upload additional documents to the "other documents" tab as needed.
Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.
Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC's Know Your Rights: Workplace discrimination is illegal poster.
The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.
Advertised: 26 Feb 2026 Central Standard Time
Applications close: 26 Aug 2026 Central Daylight Time

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