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Mid Level Neuromorphic Computing Jobs in Massachusetts

This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own ... Stay informed about advancements in cloud computing, distributed systems, and secure software ...

Senior Software Engineer (Cloud)

Boston, MA

$133K - $175K/yr

This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own ... Stay informed about advancements in cloud computing, distributed systems, and secure software ...

Senior Software Engineer (Cloud)

Boston, MA · On-site

$133K - $175K/yr

This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own ... Stay informed about advancements in cloud computing, distributed systems, and secure software ...

Senior Software Engineer (Cloud)

Boston, MA · On-site

$133K - $175K/yr

This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own ... Stay informed about advancements in cloud computing, distributed systems, and secure software ...

Systems Administrator

Boston, MA · On-site

$72K - $120K/yr

In this mid-level position, a successful candidate will leverage experience providing end-user ... computing environments. This position is located in our Lexington, MA office. A secret clearance is ...

Demonstrate functional expertise for cloud computing technologies, configurations, and environments ... for mid-level, and 10 years' experience for senior-level) * Active Security Clearance Required:

Cloud SME (Secret) (4442)

Boston, MA · On-site

$103K - $172K/yr

Demonstrate technical expertise in cloud computing technologies, configurations, and environments ... Must have Bachelor's Degree or equivalent certification plus 4-7 years' experience for mid-level ...

Performs duties on tasks that require expertise in firewall, cyber, cloud computing, implementation ... Must have Bachelor's degree or equivalent certification plus 3-6 years' experience for mid-level.

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Showing results 1-20

Mid Level Neuromorphic Computing information

What is a mid level neuromorphic computing professional?

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 the key skills and qualifications needed to thrive as a mid level neuromorphic computing engineer?

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.

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 most commonly searched types of Neuromorphic Computing jobs in Massachusetts?

The most popular types of Neuromorphic Computing jobs in Massachusetts are:

What are popular job titles related to Mid Level Neuromorphic Computing jobs in Massachusetts?

For Mid Level Neuromorphic Computing jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Mid Level Neuromorphic Computing jobs in Massachusetts look for?

The top searched job categories for Mid Level Neuromorphic Computing jobs in Massachusetts are:

Infographic showing various Mid Level Neuromorphic Computing job openings in Massachusetts as of August 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 100% In-person job distribution.

Tech Staff Neurocognitive Analysis, Modeling, and Simulation

Lexington, MA • On-site

MIT Lincoln Laboratory
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments. 

Job Description

The Human Health & Performance Systems Group is searching for a candidate to participate in and lead projects related to detecting, monitoring, and rehabilitating psychological, neurological and sensory (e.g., auditory, visual, vestibular) disorders, neurotrauma, and cognitive overload and fatigue. Analysis involves features based on mechanistic neuro-biophysical and neuro-motor computational modeling, neuromorphic (software and hardware) simulations, neural interface (e.g., EEG) technology, and machine learning coupled to brain imaging and neural tracing representations. We seek nonintrusive interactive interfaces to maximize effect of treatment and training and maximize resilience. Interfaces can take the form of neural and physiological wearables, sensory feedback therapies, and virtual humans and environments.

The candidate will assist in developing neural-science-based algorithms, brain and human computer interfaces, and computational models, as well as data collection and analysis.  As experience is gained, the candidate will be required to generate their own innovative ideas and seek support for these program ideas.  Background is required in advanced signal processing and machine learning. Background is desired in neuroscience (preferably modeling of neuro-motor and sensory systems and the neural basis of speech perception and production and vision).  It is also desirable that the candidate have skills in neuromorphic computing (software and hardware) at both neural system and neural cell levels for real-time neurocomputational simulations.  Hardware development experience is desirable.  Candidate should also demonstrate abilities that include programming with Python, and/or C++, as well as statistical analysis and machine learning (scikit-learn, PyTorch, Tensorflow) capabilities. The candidate should hold a Ph.D. or Sci.D. in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Neurocognitive Science, Speech/Hearing Sciences, or a similar technical field.

Recent Graduate Hiring Range: $145,200 - $170,000

Experienced Hiring Range: $145,200 - $220,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 42798