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Neuromorphic Engineering Jobs (NOW HIRING)

Intel Corporation

$150 - $200/hr

The Opportunity For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ... Experience with the latest AI-driven automation, agentic engineering assistants, and generative AI ...

Penn State University

$60 - $80/hr

POSITION SPECIFICS The Department of Engineering Science and Mechanics is seeking a highly motivated postdoctoral researcher to work on the development of radio-frequency neuromorphic hardware for ...

The Pennsylvania State University

POSITION SPECIFICS The Department of Engineering Science and Mechanics is seeking a highly motivated postdoctoral researcher to work on the development of radio-frequency neuromorphic hardware for ...

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR

$141K - $191K/yr

Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future ...

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How much do neuromorphic engineering jobs pay per year?

As of Sep 8, 2026, the average yearly pay for neuromorphic engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What is neuromorphic engineering?

A Neuromorphic Engineering job involves designing hardware and algorithms that mimic the structure and function of the human brain. Engineers in this field develop neuromorphic chips, spiking neural networks, and energy-efficient computing systems for tasks like artificial intelligence, robotics, and edge computing. Their work bridges neuroscience, computer science, and electrical engineering to create adaptive, low-power solutions for complex computations.

What skills and qualifications are needed for neuromorphic engineering?

To thrive in Neuromorphic Engineering, you need a strong background in electrical engineering, neuroscience, computer science, or a related field along with experience in designing algorithms and hardware modeled after neural systems. Familiarity with tools such as CAD software for circuit design, simulation platforms like MATLAB or Python, and knowledge of neuromorphic chips and systems is often required. Strong problem-solving abilities, creativity, and effective teamwork skills are highly valued in this interdisciplinary field. These competencies are essential for innovating and collaborating on the development of next-generation computing systems that bridge neuroscience and engineering.

What are common challenges faced by professionals in neuromorphic engineering?

Neuromorphic engineering professionals often encounter the challenge of translating complex biological neural processes into practical and scalable hardware and algorithms. Working in this field typically involves troubleshooting new or experimental designs, which can be more unpredictable and iterative than traditional engineering roles. Effective collaboration with neuroscientists, computer scientists, and engineers is crucial, as projects are highly interdisciplinary. Staying updated on rapid technological advancements and emerging research is also a key part of the job, requiring ongoing learning and adaptability.

How to become a neuromorphic engineer?

To become a neuromorphic engineer, one typically needs a bachelor's degree in electrical engineering, computer science, neuroscience, or a related field, followed by advanced education such as a master's or Ph.D. in neuromorphic systems, neural engineering, or machine learning. Developing skills in hardware design, programming (e.g., Python, C++), and understanding neural models and architectures is essential. Gaining experience through research projects, internships, or specialized training in neuromorphic hardware platforms like SpiNNaker or TrueNorth is also beneficial.

Which companies are working on neuromorphic engineering?

Several companies and research institutions are actively working on neuromorphic engineering, including Intel, IBM, BrainChip, and Qualcomm. These organizations develop neuromorphic chips and systems that mimic neural processes, often integrating specialized hardware and software for AI and machine learning applications.
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Neuromorphic Engineering jobs near you
Infographic showing various Neuromorphic Engineering job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

Design Automation Engineer - Neuromorphic Computing

Folsom, CA • Hybrid

Intel
Manufacturing • 10K+ employees
Learn more about Intelexternal

$122K - $232K/yr

Full-time

Medical, Retirement, PTO

Posted 7 days ago

Key responsibilities

  • Enhance and maintain Loihi's asynchronous EDA tool flow by implementing design automation algorithms, software tools, utilities, and regression tests.

  • Support RTL designers, verification engineers, and physical design engineers by providing automated solutions to achieve product quality and target KPIs.

  • Enable early software development by setting up a scalable framework mapping silicon designs in simulation and emulation.

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers

Job description

Job Details:Job Description: 

The Opportunity
For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach.
Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems-beyond the reach of GPUs and mainstream AI accelerators.
If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.
Position Overview
We are seeking an experienced design automation engineer passionate about driving innovation at the intersection between emerging semiconductor technology, physical AI and novel computing paradigms. Loihi's silicon design flow is unique in the industry combining high-performance asynchronous design methods with standard EDA tools for silicon implementation. You will help pioneer the tool flows and automation methods required to bring these novel designs from concept to silicon, developing new capabilities spanning front-end design, physical implementation, verification, and FPGA-based emulation. Candidates should be familiar with the entire silicon design lifecycle and adapt to the requirements of our custom flow. A strong software background and an openness to learning new technologies and methodologies, such as asynchronous design, is essential. Experience with the latest AI-driven automation, agentic engineering assistants, and generative AI development tools is expected and will be a key contributor to success in this role.
Responsibilities
Enhance and maintain Loihi's asynchronous EDA tool flow by implementing design automation algorithms, software tools, utilities, and regression tests.
Support RTL designers, verification engineers and physical design engineers by providing automated solutions to achieve product quality and target KPIs.
Enable early SW development by setting up a scalable framework mapping silicon designs in simulation and emulation.
Write custom scripts to manipulate synthesis and physical design tools for low power/high performance custom designs.

Qualifications:

Minimum qualifications
Bachelors and 4+ years OR Masters and 2+ years of experience in developing and deploying production quality tools, flows and methods for silicon design.
4+ years of experience in developing and maintaining the entire ASIC tool suite. E.g. synthesis, place and route, ATPG, FEV, RV, STA, LVS/DRC.
4+ years of experience with scripting languages such as Perl, TCL, Python, etc.
2+ years of experience in delivering multiple silicon tape-outs.
Preferred qualifications
Strong System-Verilog/System-C/Object Oriented Programming background.
Experience with large scale FPGA platforms like HAPS and/or emulation frameworks like ZeBu.

1+ year of experience using AI tools for setting up tool flows, debugging and improving overall productivity.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara, US, Texas, AustinPosting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $122,440.00-232,190.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

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Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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