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Neural Monitoring Jobs (NOW HIRING)

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel ... monitoring. • Strong Linux experience. • Knowledge of high-performance computing (HPC ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA

$145K - $175K/yr

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ... and monitoring. * Strong Linux experience. * Knowledge of high-performance computing (HPC ...

Polaris, Inc.

Systems Engineer

Huntsville, AL · On-site

Execute enhancement requests, including model year updates and quality monitoring implementations. * Provide technical guidance and support to users of neural net and vision system applications.

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ... and monitoring. * Strong Linux experience. * Knowledge of high-performance computing (HPC ...

Avride

Machine Learning Engineer

Austin, TX

... Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models ... monitoring. * Improve Model Deployment and Efficiency: Optimize inference performance, model ...

Polaris, Inc.

Systems Engineer

Huntsville, AL · On-site

Execute enhancement requests, including model year updates and quality monitoring implementations. * Provide technical guidance and support to users of neural net and vision system applications.

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Neural Monitoring information

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How much do neural monitoring jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for neural monitoring in the United States is $38.70, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $39.18 per hour, depending on experience, location, and employer.

What is neural monitoring?

Neural monitoring, also known as intraoperative neurophysiological monitoring (IONM), is a technique used during surgeries to assess the functional integrity of the nervous system in real time. It involves monitoring electrical signals from the brain, spinal cord, and peripheral nerves to help prevent potential neurological injuries during operations. Specialists use various electrodes and recording devices to track neural activity, alerting the surgical team of any changes that could indicate risk. This allows surgeons to make informed decisions and improve patient safety. Neural monitoring is commonly used in spinal, brain, and some vascular surgeries.

What are the key skills and qualifications needed to thrive as a Neural Monitoring Specialist, and why are they important?

To thrive as a Neural Monitoring Specialist, a strong background in neurophysiology, anatomy, and electrophysiology is required, typically supported by a relevant degree and CNIM certification. Expertise in intraoperative neurophysiological monitoring (IONM) equipment, data analysis software, and surgical navigation systems is essential. Excellent attention to detail, communication skills, and the ability to remain calm under pressure help specialists collaborate effectively with surgical teams and respond quickly to changes. These skills ensure patient safety and optimal surgical outcomes by providing real-time neural function feedback during complex procedures.

What are some typical challenges faced by professionals in Neural Monitoring during surgical procedures?

One of the main challenges in Neural Monitoring is maintaining clear communication with the surgical team to ensure real-time interpretation of neurophysiological data. Professionals must also adapt quickly to unexpected changes in patient responses and troubleshoot complex equipment under time-sensitive conditions. Balancing the need for timely alerts with avoiding unnecessary interruptions requires both technical expertise and strong interpersonal skills. Additionally, working in high-stakes environments means attention to detail and the ability to remain calm under pressure are essential.

What is the difference between Neural Monitoring vs Neurodiagnostic Technologist?

AspectNeural MonitoringNeurodiagnostic Technologist
Required CredentialsNeural Monitoring certification, EEG, or neurophysiology trainingRegistered EEG technologist, neurodiagnostic certification
Work EnvironmentHospitals, surgical suites, neuro ICUHospitals, clinics, outpatient labs
Industry UsageNeurosurgery, intraoperative monitoringNeurology, sleep studies, diagnostics

Neural Monitoring specialists focus on intraoperative neurophysiological monitoring during surgeries, requiring specialized certifications. Neurodiagnostic Technologists perform EEGs and other neurodiagnostic tests primarily for diagnostics. While both roles involve neurophysiological skills, Neural Monitoring is more specialized in surgical settings, whereas Neurodiagnostic Technologists work in diagnostic labs and outpatient environments.

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What are the most commonly searched types of Neural Monitoring jobs? The most popular types of Neural Monitoring jobs are:
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Neural Monitoring jobs near you
Infographic showing various Neural Monitoring job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $80,500 per year, or $38.7 per hour.
Tech Staff Neurocognitive Analysis, Modeling, and Simulation

Tech Staff Neurocognitive Analysis, Modeling, and Simulation

MIT Lincoln Laboratory

Lexington, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 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 

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