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Neuromorphic Engineering Jobs (NOW HIRING)

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 ...

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 ...

Intel

Senior AI Software Architect - Runtime

Austin, TX

$128K - $174K/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 Jun 19, 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 are the key skills and qualifications needed to thrive in the Neuromorphic Engineering position, and why are they important?

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 jobs pay $10,000 a month without a degree?

In neuromorphic engineering, most roles require specialized education or experience; however, high-paying freelance consulting or entrepreneurial ventures in related tech fields can sometimes generate $10,000 or more monthly without a formal degree. These opportunities often depend on skills, reputation, and market demand, and may involve self-directed learning, certifications, or building a strong portfolio in areas like AI, machine learning, or hardware development.

What are some 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.

What is the salary of a neuromorphic computing engineer?

The salary of a neuromorphic engineering or computing engineer typically ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with specialized skills in hardware design, neural networks, or AI integration can earn higher salaries.

What is a neuromorphic engineer?

A neuromorphic engineer designs and develops hardware and software systems inspired by the structure and function of biological neural networks. They often work with specialized chips, such as neuromorphic processors, and apply knowledge of neuroscience, electronics, and machine learning to create energy-efficient, brain-inspired computing systems.

What engineers make $500,000?

Senior engineers in specialized fields such as neuromorphic engineering, software engineering, or data science can reach or exceed a $500,000 annual salary, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial or executive positions, or working for large technology companies that offer stock options and bonuses.

What is a Neuromorphic Engineering job?

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.

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Neuromorphic Engineering jobs near you
Infographic showing various Neuromorphic Engineering job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 72% In-person, 7% Hybrid, and 21% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

Staff ML Scientist - Neuromorphic Computing & Spiking Neural Networks

Triangle Workforce

Durham, NC • Remote

Full-time

Posted 7 days ago

Job description

We are hiring a Staff ML Scientist to lead research and development of spiking neural network (SNN) architectures for ultra-low-power, real-time edge inference. This rare role sits at the convergence of computational neuroscience and production machine learning, requiring expertise in neuromorphic hardware platforms (Intel Loihi 2, BrainChip Akida, SynSense), temporal coding schemes, and spike-timing-dependent plasticity (STDP) learning rules.


You will design brain-inspired ML models that achieve orders-of-magnitude improvements in energy efficiency over traditional deep learning for time-series, sensor fusion, and event-driven vision applications.


Candidates must have hands-on experience training and deploying SNNs, deep familiarity with frameworks like Norse, snnTorch, or Lava, and ideally published work in neuromorphic engineering or computational neuroscience. PhD required. Experience bridging the gap between neuromorphic research prototypes and production-ready inference systems is critical.


Key Skills: Spiking Neural Networks, Neuromorphic Computing, Intel Loihi, snnTorch, Norse, Lava, Edge ML, Sensor Fusion, PyTorch, STDP


This is a remote-first position based in North Carolina.