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Neuromorphic Engineering Jobs (NOW HIRING)

Peraton

Microelectronics SME

Mclean, VA

... such as neuromorphic and quantum computing with the ability to advise on national-level ... Must have a Bachelor's degree in engineering, Computer Science, Information Technology, or any ...

Peraton

Microelectronics SME

Mclean, VA · On-site

$146K - $234K/yr

... such as neuromorphic and quantum computing with the ability to advise on national-level ... Must have a Bachelor's degree in engineering, Computer Science, Information Technology, or any ...

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How much do neuromorphic engineering jobs pay per year?

As of May 31, 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 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.

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 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.
More about Neuromorphic Engineering jobs
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Neuromorphic Engineering jobs near you
Infographic showing various Neuromorphic Engineering job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

LEAD ENGINEER - SR. COMPUTER SCIENTIST - Kinesioception Lead

SWRI

San Antonio, TX • On-site

$92.50K - $121.80K/yr

Full-time

Posted 19 days ago

Job description

  • Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human performance optimization.
  • Guide junior staff and customers in R&D concepts and practices and implementation of decision-support solutions.
  • Provide recommendations to management regarding technical direction.
  • Capture new research projects with new and existing clients.
  • Establish an industry presence by presenting our research and networking at conferences, workshops, and symposiums.

  • Apply state-of-the art machine learning software solutions for various decision-support intelligent system applications.
  • Interact with team members and customers to discuss technical solutions to problems.
  • Manage the various aspects of a project (e.g., technical goals, team tasking, project budget, reporting).
  • Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems.

  • Requires a Bachelors, Masters or a PhD in Computer Science, Biomedical Engineering, Electrical Engineering, or directly related degree field- 3 years experience with PhD, 4 years experience with Masters, 5 years experience with Bachelors.
  • 3-5 years: Industry experience in software development, machine learning, biomedical, medical, or human performance optimization applications. Experience with neural network development and associated tools and frameworks preferred.
  • 1+ years: Business development experience; identifying and sourcing potential leads and customers; engaging with customers and identifying problem to be solved and developing statements of work; contract negotiation and closing the deal.
  • Experience with leading project teams, budgets, schedules, risk management; excellent written, verbal, interpersonal skills.
  • A valid/clear driver's license is required.

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