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Neuromorphic Engineering Jobs in California (NOW HIRING)

Senior AI Software Architect - Runtime

Santa Clara, CA · On-site

$152K - $206K/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 ...

Neuromorphic Labs is a Seed stage AI Startup, backed by top-tier VCs. We are looking for a Founding ... Strong technical fluency and the ability to work deeply with engineers and architects. * Strong ...

New

Compiler Engineer

Berkeley, CA · On-site

$120 - $180/hr

... years of hands-on compiler engineering experience (MLIR, LLVM, TVM, XLA, or equivalent ... Experience targeting novel or non-von-Neumann accelerators (photonic, analog, neuromorphic, custom ...

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Neuromorphic Engineering information

See California salary details

$32.1K

$62.2K

$94.2K

How much do neuromorphic engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for neuromorphic engineering in California is $62,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $71,100.00 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.

What are the most commonly searched types of Neuromorphic Engineering jobs in California?

The most popular types of Neuromorphic Engineering jobs in California are:

What are popular job titles related to Neuromorphic Engineering jobs in California?

For Neuromorphic Engineering jobs in California, the most frequently searched job titles are:

Infographic showing various Neuromorphic Engineering job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $62,152 per year, or $29.9 per hour.

Product Development/DFX Lead - Neuromorphic Computing

Intel

Folsom, CA • On-site

$141K - $269K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

New


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 160 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 a senior product development engineer to lead the DFT/DFX strategy for Intel's neuromorphic silicon program. This role offers a unique opportunity to help define manufacturing and test methodologies for groundbreaking computing architectures that push beyond the limits of traditional AI systems.
As the DFT/DFX lead in Intel's neuromorphic silicon team, you will architect and drive innovative test, debug, and reliability solutions that enable high-quality, high-volume production. Loihi's use of asynchronous circuits and advanced integration technologies presents challenges that cannot be addressed by conventional DFX approaches, creating opportunities to develop new methodologies and influence the future of neuromorphic computing.
Working closely with design architects and circuit experts, you will define test strategies, implement fault coverage solutions, and ensure robust operation across the product lifecycle. An openness to learning new technologies and methodologies, such as asynchronous design techniques and using agentic tools for development and debug is essential.
Responsibilities
Architect a complete DFT solution at the SoC level, compiling the requirements of both synchronous and asynchronous designs.
Lead the flow-development for scan-insertion and compression at partition and SoC levels.
Build a scalable framework spanning EDA tools, RTL and emulation models to generate high-quality test vectors and validate them pre-silicon.
Collaborate with designers to drive DFT/DFD/DFM features to ensure manufacturing readiness to support HVM.
Lead silicon power-on, enabling tester content, debugging failures and maintaining any tools/flows that are developed.

Qualifications:

Minimum qualifications
Bachelors and 6+ years OR Masters and 4+ years of hands-on DFT experience from architecture to silicon bring-up.
6+ years of experience of architecting the entire DFT stack including scan insertion, compression and ATPG vector generation.
4+ years of direct ownership of IP and SoC-level scan constructs, e.g. boundary scan (JTAG), TAP, BIST/MBIST.
1 year of experience in debugging post-silicon and driving circuit changes for testability and reliability improvements.
Preferred qualifications
Experience in custom ASICS or AI/ML accelerator design.
Experience in post-silicon bin split, die-level cherry picking (DLCP) and fault grading.
Strong System-Verilog/System-C/OOP background with pre-silicon verification experience.
Experience in test time reduction techniques on automatic test equipment (ATE).
Experience in asynchronous architectures and circuits.

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: $141,910.00-269,100.00 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

Sourced by ZipRecruiter

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