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Neuromorphic Computing Research Jobs (NOW HIRING)

Neurophos Inc

Director of Optics

San Jose, CA · On-site

$325K - $400K/yr

You will lead an elite team of engineers to translate groundbreaking research into robust, market ... Experience with neuromorphic computing or advanced AI hardware architectures. * Knowledge of ...

Boise State University

Post Doctoral Research Fellow

Boise, ID · On-site

$46K - $63K/yr

Publish high-impact research in top-tier neuromorphic engineering, circuit design, and/or computing journals and conferences. * Collaboration: Work closely with materials teams in AWESOME Subprojects ...

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How much do neuromorphic computing research jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for neuromorphic computing research in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What is neuromorphic computing research?

Neuromorphic computing research is the study and development of computer systems inspired by the structure and function of the human brain. Researchers in this field design hardware and software that mimic neural architectures, aiming to achieve greater efficiency and adaptability than traditional computing methods. This research often involves creating artificial neurons and synapses using novel materials and architectures to enable advanced tasks like pattern recognition and real-time learning. The ultimate goal is to create energy-efficient, intelligent computing systems for applications ranging from robotics to AI and sensory processing.

What are some common challenges faced by professionals working in neuromorphic computing research?

Professionals in neuromorphic computing research often encounter challenges related to the interdisciplinary nature of the field, requiring deep knowledge of neuroscience, computer engineering, and machine learning. Developing hardware that effectively mimics neural architectures can be complex due to limitations in current fabrication technologies and the need for novel algorithms. Additionally, researchers must frequently collaborate with teams from diverse backgrounds, which necessitates strong communication and adaptability. Securing funding and staying updated with rapid advancements in both neuroscience and AI are also ongoing challenges in this dynamic research area.

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

To thrive in Neuromorphic Computing Research, a strong background in computer science, electrical engineering, neuroscience, and mathematics—often at the graduate level—is essential. Familiarity with programming languages (such as Python or C++), neural network frameworks, hardware description languages, and simulation tools like SpiNNaker or NEST, as well as published research experience, is typically required. Critical thinking, creativity, interdisciplinary collaboration, and effective communication set outstanding researchers apart in this evolving field. These skills and qualities are crucial for driving innovation and bridging the gap between biological intelligence and artificial computing systems.
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Neuromorphic Computing Research jobs near you
Infographic showing various Neuromorphic Computing Research job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.

Silicon Research Engineering Lead

Normal Computing

New York, NY • On-site

$290K - $350K/yr

Full-time

Posted 7 days ago

Job description

Normal Computing | Incredible Opportunities
The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London.
Your Role in Our Mission
Normal is building a new class of computing hardware, rethinking the physics of computation from the ground up to unlock performance and efficiency that conventional architectures can't reach.
As Silicon Research Engineering Lead, You will shepherd these ideas through the research lab and to a point where it can be translated into working silicon. You will have enough intuition and experience to know what areas show potential and when we should move on. Your role has a lot of latitude. You will stay abreast of the latest developments in silicon with an eye towards incorporating novel technologies in pursuit of our ambitious goals. You will not be the person architecting the SoC or running the tapeout. You will be the person making sure that what arrives at the design team's door is well-characterized, feasible, and relevant to our goals.
You will forge and maintain relationships with our research partners and direct those efforts. You will lead our silicon research team and be involved with device physics, analog circuitry and novel architectures. You will work closely with our silicon implementation team.
The strongest candidates are research-lab-native engineers with a math or physics foundation, deep experience in novel analog, photonic, neuromorphic, or other non-conventional compute domains, and a track record of pushing unconventional ideas meaningfully toward production.
Responsibilities
  • Own the research process with an eye towards production taking many disparate ideas and finding which ones can work together towards our broader goals.
  • De-risk new ideas coming out of research through modeling, simulation, prototype design, and targeted experiments.
  • Partner closely with Normal's hardware team making sure the specs and building blocks you hand over are grounded in both research intent and silicon reality
  • Work across analog, mixed-signal, photonic, and other novel-compute domains as the architecture evolves, moving flexibly between approaches rather than defending a single one
  • Help set the technical direction for which research threads move toward silicon next, and which need more upstream work before they're ready
  • Represent Normal's technical work externally with research partners, academic collaborators, and potential hires
  • Guide our efforts as we publish selected work.
  • Hire great research engineers.

What Makes You A Great Fit
  • Strong math, physics, or EE research foundation, ideally with a PhD or equivalent depth in a relevant area
  • Hands-on research experience in novel analog circuitry, device physics, photonic integrated circuits, neuromorphic or in-memory compute, or other non-conventional compute domains.
  • Track record of moving research-stage ideas toward silicon, whether in a national lab, corporate research lab, university research group with tapeout activity, or a novel silicon startup
  • Ability to operate as a technical translator between research scientists and silicon design engineers, holding the language and the rigor of both sides
  • Comfort with ambiguity and with work that precedes clean specifications, while still producing artifacts a design team can act on
  • Experience using agentic tools in silicon workflows

Bonus Points For
  • Experience with stochastic, probabilistic, thermodynamic, or Ising-style computing approaches
  • Experience optimizing ML algorithms for silicon

Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

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