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Full Time Neuromorphic Engineering Jobs (NOW HIRING)

Neurophos Inc

Director of Optics

Sunnyvale, CA · On-site

$325K - $400K/yr

Instead of traditional electronic circuits, we use silicon photonics and an active, programmable ... Full-time onsite position. Key Responsibilities: * Strategic Leadership: Define and execute the ...

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Full Time Neuromorphic Engineering information

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$46.5K

$146.9K

$174K

How much do full time neuromorphic engineering jobs pay per year?

As of Jul 15, 2026, the average yearly pay for full time neuromorphic engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Neuromorphic Engineer, and why are they important?

To thrive as a Full Time Neuromorphic Engineer, you need a solid background in electrical engineering, computer science, and neuroscience, typically supported by an advanced degree in a related field. Familiarity with hardware description languages (such as VHDL/Verilog), neuromorphic hardware platforms, and simulation tools like NEST or Brian2 is essential, and experience with machine learning frameworks is highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are crucial soft skills in this field. These skills and qualifications enable you to design, implement, and optimize brain-inspired computing systems that bridge engineering and neuroscience for innovative technological solutions.

What is a Full Time Neuromorphic Engineering job?

A Full Time Neuromorphic Engineering job typically involves designing and developing hardware and software systems inspired by the structure and function of the human brain. Neuromorphic engineers work on creating artificial neural networks and electronic circuits that mimic biological processes to improve computing efficiency and enable advanced machine learning applications. These roles are usually found in research institutions, technology companies, and universities, and may involve tasks such as developing neuromorphic chips, programming algorithms, and collaborating with interdisciplinary teams. Full-time positions generally require a background in electrical engineering, computer science, neuroscience, or a related field.

What are some common challenges faced by neuromorphic engineers in a full-time role, and how can they be addressed?

Full-time neuromorphic engineers often encounter challenges such as bridging the gap between neuroscience and hardware design, managing the complexity of developing custom neural network architectures, and staying current with rapidly evolving technologies. Collaboration with interdisciplinary teams—including neuroscientists, software engineers, and hardware specialists—is essential to address these challenges effectively. Regularly participating in cross-functional meetings and continuous learning through research literature and conferences can help engineers stay up to date and overcome technical obstacles.

What is the difference between Full Time Neuromorphic Engineering vs Full Time Robotics Engineer?

AspectFull Time Neuromorphic EngineeringFull Time Robotics Engineer
Required CredentialsBackground in electrical engineering, neuroscience, or computer science; often requires knowledge of neuromorphic hardware and algorithmsDegree in robotics, mechanical/electrical engineering, or computer science; skills in sensors, actuators, and control systems
Work EnvironmentResearch labs, hardware development facilities, academia, or specialized tech companiesManufacturing plants, research labs, tech companies, or startups
Industry UsagePrimarily in neuroscience, AI hardware, and cognitive computing sectorsIn manufacturing, automation, autonomous vehicles, and service robots

Full Time Neuromorphic Engineering focuses on developing hardware and algorithms inspired by biological neural systems, often requiring neuroscience and electrical engineering expertise. In contrast, Full Time Robotics Engineers design and build robotic systems, emphasizing mechanical, electrical, and software integration. While both roles involve advanced technology and engineering skills, they serve different industry needs and environments.

More about Full Time Neuromorphic Engineering jobs
What cities are hiring for Full Time Neuromorphic Engineering jobs? Cities with the most Full Time Neuromorphic Engineering job openings:
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Full Time Neuromorphic Engineering jobs near you
Infographic showing various Full Time Neuromorphic Engineering job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $146,868 per year, or $70.6 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

Re-posted 19 days ago

University Of Alabama rating

7.1

Company rating: 7.1 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

364th of 555 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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