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Neuromorphic Engineering Jobs (NOW HIRING)

Intel

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 ...

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How much do neuromorphic engineering jobs pay per year?

As of Aug 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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

AI & Computer Vision Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$110K - $180K/yr

Full-time

Posted 25 days ago

Job description

Description:

Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation’s leading defense companies to deliver mission-critical technology. Our work spans the full system lifecycle—from R&D to operational deployment—supporting the Department of Defense, Intelligence Community, and federal partners.


At PSG, you’ll join a small, agile, and highly skilled team where your expertise has a direct impact. You’ll collaborate with some of the largest and most respected defense organizations while shaping next-generation technology.


Position Description:

Develop Advanced AI and Computer Vision Systems for National Security


Prime Solutions Group (PSG), Inc. is seeking an experienced AI and Computer Vision Engineer to develop advanced perception, embedded computing, and machine learning solutions supporting multiple mission-critical national security programs.


This position offers the opportunity to work across a diverse portfolio of advanced R&D efforts involving computer vision, object tracking, AI/ML, embedded software, sensor processing, autonomous perception, and emerging neuromorphic computing technologies.


Successful candidates will contribute to the design and implementation of AI and computer vision algorithms, develop production-quality software, evaluate emerging technologies, and support the transition of research concepts into operational systems.


We are looking for T-shaped engineers: individuals with a broad software and AI foundation who also possess deep expertise in one or more technical areas. Engineers at PSG contribute across multiple programs, applying their strengths while continuously expanding their technical breadth.

Responsibilities include:

  • Design and develop real-time computer vision and AI algorithms for mission-critical applications.
  • Develop software in C/C++ and Python for embedded and high-performance computing environments.
  • Design and implement computer vision, object detection, object tracking, and perception algorithms.
  • Develop AI-enabled software supporting EO/IR imagery, advanced sensors, and event-based sensing technologies.
  • Evaluate, prototype, and integrate machine learning techniques into operational software systems.
  • Optimize software and algorithms for efficient execution on embedded and high-performance computing platforms.
  • Develop automated testing, validation, and performance evaluation methodologies.
  • Collaborate with multidisciplinary engineering teams to transition research into operational capability.
  • Evaluate and prototype emerging technologies including neuromorphic AI, event-driven sensing, and advanced embedded computing.
  • Prepare technical documentation, customer presentations, and engineering reports.


Requirements:
  • U.S. Citizenship
  • Active Top Secret Clearance with eligibility to obtain SCI with CI Poly
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Artificial Intelligence, or related technical discipline.
  • 3-5 years developing software using C/C++.
  • Experience developing software using Python.
  • Experience developing software for computer vision, image processing, or AI/ML applications.
  • Experience with object detection, image analysis, tracking, or sensor processing.
  • Experience with Linux software development.
  • Experience with Git and collaborative software development practices.
  • Strong problem-solving and software engineering skills.
  • Ability to communicate effectively with technical teams and government customers.

Preferred skills or experience:

  • Experience with one or more of the following: object tracking, sensor fusion, autonomous perception, or advanced computer vision.
  • Experience developing AI applications for embedded, heterogeneous, or edge computing platforms.
  • Experience applying AI and computer vision techniques to EO/IR imagery, remote sensing, video analytics, or advanced sensor processing.
  • Experience with event-based vision, neuromorphic sensing, Spiking Neural Networks (SNNs), or related AI frameworks.
  • Experience transitioning AI algorithms into operational software.
  • Experience supporting Department of Defense, Intelligence Community, aerospace, or other mission-critical programs.
  • Demonstrated ability and interest in learning new technologies and contributing across multiple technical disciplines and programs.


Why Join PSG?

At PSG, you'll work alongside highly experienced engineers while contributing across multiple advanced research and development programs. Rather than focusing on a single product or technology, you'll have opportunities to apply your skills to a diverse range of AI, computer vision, embedded computing, and advanced sensing challenges supporting national security.

We offer:

  • Competitive compensation and benefits
  • Professional development and tuition assistance
  • Flexible and collaborative engineering culture
  • Exposure to cutting-edge AI/ML technologies
  • Direct impact on mission-critical programs
  • Opportunities to grow into technical leadership roles

Whether your passion is embedded software, computer vision, AI/ML, neuromorphic computing, or advanced sensing, you'll have opportunities to expand your expertise while working alongside experienced technical leaders.


Salary Description

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.