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Mid Level Neuromorphic Computing Jobs (NOW HIRING)

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management ...

Mid-Level Systems Engineer

Dayton, OH · On-site

$130K - $185K/yr

Mid-Level Systems Engineer Location: Dayton, Ohio Security Clearance: U.S. Citizenship Required ... This role focuses on research, development, and experimentation with distributed computing ...

Director of Optics

Sunnyvale, CA · On-site

$325K - $400K/yr

Expert-level knowledge of coherent light systems, Gaussian beam propagation, and ABCD matrix ... Experience with neuromorphic computing or advanced AI hardware architectures. * Knowledge of ...

Data Engineer Mid-Level

Winchester, VA · On-site

$80K - $140K/yr

Full Visibility is seeking a Data Engineer Mid-Level lo cated in Winchester, VA or Washington, DC ... performance computing environments. The successful candidate will work closely with software ...

Mid-Level Engineer

Arlington, VA · On-site

$150K - $175K/yr

Envisioneering, Inc. is seeking a Mid-Level Engineer to support the Office of Naval Research (ONR ... Control, Computing, Communications, Cyber, Intelligence, Surveillance, Reconnaissance, and ...

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Mid Level Neuromorphic Computing information

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$11K

$86.7K

$113K

How much do mid level neuromorphic computing jobs pay per year?

As of Jul 15, 2026, the average yearly pay for mid level neuromorphic computing in the United States is $86,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $107,500.00 per year, depending on experience, location, and employer.

What are mid level neuromorphic computing professionals?

Mid level neuromorphic computing professionals are specialists with several years of experience who design, develop, and optimize hardware and software systems inspired by the structure and function of the human brain. They typically work on building and programming neuromorphic chips, developing algorithms that mimic neural processes, and integrating these systems into real-world applications such as robotics or edge computing. Their expertise bridges neuroscience, computer engineering, and artificial intelligence, and they often collaborate with interdisciplinary teams to advance brain-inspired computing technologies.

What are some common challenges faced by professionals in mid-level neuromorphic computing roles, and how can they be addressed?

Professionals in mid-level neuromorphic computing roles often encounter challenges such as integrating novel hardware with existing software systems, managing the complexity of neural-inspired algorithms, and keeping pace with rapid advancements in the field. Collaborating closely with multidisciplinary teams—including hardware engineers, data scientists, and neuroscientists—can help address these challenges. Additionally, staying updated on the latest research and industry trends, as well as participating in collaborative projects, can enhance problem-solving skills and foster innovation in this evolving area.

What is the difference between Mid Level Neuromorphic Computing vs Mid Level Machine Learning Engineer?

AspectMid Level Neuromorphic ComputingMid Level Machine Learning Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related field; knowledge of neuromorphic hardwareBachelor's in Computer Science, Data Science, or related; experience with ML frameworks
Work EnvironmentResearch labs, hardware development, AI hardware companiesTech companies, startups, data-driven organizations
Industry UsageAI hardware, neuromorphic chip design, cognitive computingSoftware development, AI applications, data analysis

Mid Level Neuromorphic Computing professionals focus on hardware and cognitive architectures inspired by the brain, often working with specialized hardware and research teams. In contrast, Mid Level Machine Learning Engineers develop algorithms and models primarily in software to solve data-driven problems. Both roles require a strong technical background but differ in their focus on hardware versus software applications.

What are the key skills and qualifications needed to thrive as a Mid Level Neuromorphic Computing Engineer, and why are they important?

To thrive as a Mid Level Neuromorphic Computing Engineer, you need a solid background in computer engineering, neuroscience, and machine learning, usually supported by a relevant degree and experience with neural network architectures. Familiarity with tools like Python, MATLAB, TensorFlow, and simulation platforms such as NEST or SpiNNaker, along with knowledge of specialized hardware, is typically required. Strong problem-solving, collaboration, and communication skills help you innovate and effectively share complex ideas with multidisciplinary teams. These skills and qualifications are crucial for developing advanced neuromorphic systems that bridge neuroscience and AI, pushing the boundaries of efficient computing.
More about Mid Level Neuromorphic Computing jobs
What cities are hiring for Mid Level Neuromorphic Computing jobs? Cities with the most Mid Level Neuromorphic Computing job openings:
What are the most commonly searched types of Neuromorphic Computing jobs? The most popular types of Neuromorphic Computing jobs are:
What states have the most Mid Level Neuromorphic Computing jobs? States with the most job openings for Mid Level Neuromorphic Computing jobs include:
Infographic showing various Mid Level Neuromorphic Computing job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $86,666 per year, or $41.7 per hour.

Other

Posted 27 days ago


Job description

Company Description

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges.

In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India.

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career.

Job Description

MUST HAVE:

  • 3-5+ years as a Java Developer
  • Spring Framework
  • Eclipse
  • Oracle database
  • SDLC Methodologies
  • JBoss
  • REST Web Services
  • Design Patterns 
Additional Information
  1. Good comm skills are a big priority
  2. Duration: 6+ Months 
  3. Phone+F2F (Need Locals)