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Neuromorphic Computing Jobs (NOW HIRING)

Neurophos Inc

Director of Optics

Sunnyvale, CA · On-site

$325K - $400K/yr

Experience with neuromorphic computing or advanced AI hardware architectures. * Knowledge of metamaterials or non-traditional optoelectronic integration. * Familiarity with multi-aperture ...

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$40.5K

$98.5K

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How much do neuromorphic computing jobs pay per year?

As of Jul 15, 2026, the average yearly pay for neuromorphic computing in the United States is $98,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $111,500.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Neuromorphic Computing?

Professionals in Neuromorphic Computing spend their days designing, simulating, and testing hardware or algorithms inspired by neural architectures. This often involves collaborating with interdisciplinary teams across engineering, neuroscience, and computer science, reviewing research, and troubleshooting experimental prototypes. Tasks may also include publishing research findings, developing software models, and staying updated on the latest advancements in artificial intelligence. The role typically requires both independent research and teamwork to drive innovation and transfer new concepts from the lab to practical applications.

What is a Neuromorphic Computing job?

A Neuromorphic Computing job involves designing and developing hardware and software that mimic the neural structure and functioning of the human brain. Professionals in this field work on creating energy-efficient, brain-inspired computing architectures for AI, machine learning, and robotics applications. Responsibilities may include research, chip design, algorithm development, and system integration. These roles are typically found in academia, government labs, tech companies, and semiconductor industries.

What are the key skills and qualifications needed to thrive in the Neuromorphic Computing position, and why are they important?

To thrive in Neuromorphic Computing, you need a strong background in electrical engineering, computer science, neuroscience, and machine learning, often supported by an advanced degree such as a Master's or Ph.D. Experience with neuromorphic hardware platforms, programming languages (such as Python and C++), and familiarity with simulation tools and FPGA development is highly valued. Creative problem-solving, interdisciplinary collaboration, and effective communication are essential soft skills for this field. These competencies enable professionals to innovate at the intersection of biology and technology, facilitating the development of advanced computing systems that mimic neural processes.

More about Neuromorphic Computing jobs
What cities are hiring for Neuromorphic Computing jobs? Cities with the most Neuromorphic Computing job openings:
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Neuromorphic Computing jobs near you
Infographic showing various Neuromorphic Computing job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $98,528 per year, or $47.4 per hour.
Post Doctoral Researcher, Electrical and Computer Engineering

Post Doctoral Researcher, Electrical and Computer Engineering

University of Delaware

Newark, DE • On-site

$113K/yr

Other

Re-posted 17 days ago

University Of Delaware rating

5.7

Company rating: 5.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

522nd of 555 rated colleges and universities

Job description

Post Doctoral Researcher, Electrical and Computer Engineering

Apply now Job no: 501817
College / VP Area: College of Engineering
Work type: Staff
Location: Newark, DE
Categories: Research & Laboratory, Full Time

Curious about the full value of working at UD? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package.

Context of Job:

As a Post-Doctoral Researcher, you will support Prof. Yuping Zeng with the frontier of analog circuit design, implementation and characterization, preferably for neuromorphic computing with emerging devices. 

 Major Responsibilities:

  • Plays a key role in the design of analog circuit with emerging devices developed in the group;
  • Deep understanding of the device physics and the know-how of circuit design;
  • Device fabrication, characterization, model extraction and apply device model in the circuit design;
  • Circuit design optimization;
  • Using Cadence for circuit design and ADS for RF circuit design;
  • Circuit implementation and characterization;
  • Plays a key role in helping and guiding graduate students.

You can select any of the following research areas that you feel competent on:

1. Devices: (1) High-frequency electronic devices: heterojunction bipolar transistors, high electron mobility transistors (HEMTs); (2) Low-power devices: novel transistors (tunneling field-effect transistors, and Non-silicon metal-oxide-semiconductor field-effect transistors, thin film transistors); (3) Light-emitting devices and high-speed detectors

2. Circuits: Analog circuits for Neuromorphic computing

Qualifications:

  • PhD required at the time of hire
  • 1-year analog circuit design experience preferred
  • Know how to design circuit using one or more of the software listed (Cadence; Fluent use of LT-Spice, Verilog-A, Python, ADS, ICCAP, etc.)
  • Know how to perform circuit analysis and characterization

Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.

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