ZipRecruiter

Log In

1

Neuromorphic Computing Circuit Design Jobs (NOW HIRING)

Intel

Neuromorphic/AI Research Scientist

Austin, TX · On-site

... edge computing, signal processing, and autonomous systems. Key Responsibilities * Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge ...

Intel

Neuromorphic/AI Research Scientist

Folsom, CA

... edge computing, signal processing, and autonomous systems. Key Responsibilities * Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge ...

Intel

Neuromorphic/AI Research Scientist

Phoenix, AZ · On-site

... edge computing, signal processing, and autonomous systems. Key Responsibilities * Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge ...

next page

Showing results 1-20

People also search for

All JobsNeuromorphic Computing Circuit Design Jobs

Neuromorphic Computing Circuit Design information

See salary details

$67K

$121.8K

$172.5K

How much do neuromorphic computing circuit design jobs pay per year?

As of Jun 7, 2026, the average yearly pay for neuromorphic computing circuit design in the United States is $121,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $141,500.00 per year, depending on experience, location, and employer.

What is neuromorphic computing circuit design?

Neuromorphic computing circuit design is the process of creating electronic circuits that mimic the architecture and functionality of the human brain. These circuits use specialized hardware, such as analog or digital spiking neural networks, to process information in ways similar to biological neurons and synapses. The goal is to achieve highly efficient, low-power computation for tasks like pattern recognition, sensory processing, and machine learning. Neuromorphic circuits are increasingly used in artificial intelligence applications where conventional computing struggles with speed or energy efficiency.

What are some common challenges faced by professionals in neuromorphic computing circuit design, and how can they be addressed?

Professionals in neuromorphic computing circuit design often encounter challenges related to integrating novel architectures with traditional CMOS processes, ensuring energy efficiency, and managing the variability of emerging devices like memristors. Effective solutions include staying updated with the latest semiconductor fabrication techniques, collaborating closely with interdisciplinary teams (such as neuroscientists and software engineers), and leveraging simulation tools to prototype and validate designs before fabrication. Proactively participating in industry conferences and academic collaborations can also help designers stay ahead of evolving challenges in this rapidly changing field.

What companies are working on neuromorphic computing?

Several companies are actively developing neuromorphic computing technologies, including Intel, IBM, BrainChip, and Qualcomm. These organizations focus on designing specialized hardware and circuits that mimic neural structures, often integrating neuromorphic chips into AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a Neuromorphic Computing Circuit Designer, and why are they important?

To thrive as a Neuromorphic Computing Circuit Designer, a strong background in electrical engineering, semiconductor device physics, and neural network principles is essential, typically supported by an advanced degree such as a Master’s or PhD. Proficiency with CAD tools (e.g., Cadence, Synopsys), hardware description languages (HDL), and simulation software is critical for designing and testing circuits. Creative problem-solving, interdisciplinary collaboration, and attention to detail are vital soft skills that distinguish top performers in this field. These skills and qualities are crucial for developing innovative, efficient circuits that mimic brain-like processing, pushing the boundaries of artificial intelligence hardware.
Infographic showing various Neuromorphic Computing Circuit Design job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 82% Full Time, 6% Part Time, 4% Temporary, 2% Contract, and 2% Nights. Highlights an 93% Physical, 5% Hybrid, and 2% Remote job distribution, with an average salary of $121,794 per year, or $58.6 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

Full-time

Posted 9 days ago

University Of Delaware rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

490th of 534 rated colleges and universities

Job description

Post Doctoral Researcher, Electrical and Computer Engineering
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.
Applications close:
Whatsapp Facebook LinkedIn Email App

What University Of Delaware employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply