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Neural Monitoring Jobs (NOW HIRING)

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 ...

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

Senior Machine Learning Engineer (3967)

Atlanta, GA · On-site

$100.50K - $138K/yr

Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC‑AUC ... Solid experience with convolutional neural networks, recurrent neural networks, and ...

Senior Machine Learning Engineer (3967)

Atlanta, GA · On-site

$100.50K - $138K/yr

Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROCAUC ... Solid experience with convolutional neural networks, recurrent neural networks, and ...

... monitoring. * Improve Model Deployment and Efficiency: Optimize inference performance, model ... At least three years of experience developing neural network-based algorithms, including data ...

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142.90K/yr

Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC‑AUC ... Solid experience with convolutional neural networks, recurrent neural networks, and ...

Senior / Staff Machine Learning Engineer

Austin, TX

$124.40K - $171.50K/yr

... Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models ... monitoring. Staff and Principal engineers will own the long-term roadmap for training ...

Senior Machine Learning Engineer (3967)

Atlanta, GA · On-site

$100.50K - $138K/yr

Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC-AUC ... Solid experience with convolutional neural networks, recurrent neural networks, and transformer ...

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Neural Monitoring information

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How much do neural monitoring jobs pay per hour?

As of May 29, 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 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 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 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.

More about Neural Monitoring jobs
What are the most commonly searched types of Neural Monitoring jobs? The most popular types of Neural Monitoring jobs are:
Infographic showing various Neural Monitoring job openings in the United States as of May 2026, with employment types broken down into 5% Full Time, 61% Part Time, 5% Temporary, 24% Contract, and 5% Nights. Highlights an 10% Physical, and 90% Remote job distribution, with an average salary of $80,500 per year, or $38.7 per hour.
Software Engineer, Simulation

Software Engineer, Simulation

SpaceX

Hawthorne, CA

$145K - $175K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

12th of 59 rated aerospace companies


Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SOFTWARE ENGINEER, SIMULATION
As a software engineer on the NDE & Materials Software team, you will develop, improve, and advance our in-house multiphysics simulation engine-currently supporting high-pressure die casting and investment casting processes-to the next level. This role will expand the engine's capabilities to additional manufacturing domains, including additive manufacturing, welding, structural stress and strain analysis, grain prediction, and more. You will help apply these simulations to increase part yield, reduce inspection burden, and optimize parts across Raptor, Starship, Starlink, and other programs at SpaceX. Strong C++ software engineering skills and experience applying machine learning (ML) and AI to simulation solutions are key. Python experience is also required. The team consists of world-class experts in solidification physics, casting, metallurgy, and simulation. Experience with casting or solidification is not required-just a desire to learn, collaborate, and enable the best future for manufacturing at SpaceX.
RESPONSIBILITIES:
  • Own software architecture and quality of simulation software used across SpaceX.
  • Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD platforms for multiphysics simulations; contribute to transitioning results viewing to web-based 3D tooling.
  • Build advanced interfaces for viewing and interpreting simulation results.
  • Troubleshoot and debug issues related to software integration, meshing quality, and simulation accuracy.
  • Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts.
  • Collaborate with cross-functional teams to implement new features and automate processes.
  • Conduct testing and validation of simulation results using industry-standard benchmarks.

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, engineering, math, or STEM discipline; OR 5+ years of professional experience building software in lieu of a degree.
  • 2+ years of software development experience.
  • 2+ years of strong C++ software engineering experience.
  • 1+ years of experience leveraging Python for data analysis.

PREFERRED SKILLS:
  • Experience working with numerical solvers for complex physics domains (e.g., tools like OpenFOAM, ANSYS Fluent, COMSOL Multiphysics).
  • Strong meshing skills for complex simulations (e.g., tools like NX, ANSYS Meshing, SnappyHexMesh).
  • Demonstrated experience applying machine learning and AI solutions (e.g., surrogate modeling, physics-informed neural networks, Fourier neural operators, neural operators, graph neural networks etc) to accelerate simulations.
  • Experience with visualization tools (ParaView, VisIt, Tecplot) and web-based 3D tooling (e.g., Three.js).
  • Experience with web development frameworks such as Flask, SQLAlchemy, and FastAPI.
  • Front-end experience in React or similar JavaScript UI frameworks.
  • Database experience with PostgreSQL, SQL Server, or similar database technologies.
  • Good understanding of version control, testing, continuous integration, build, deployment, and monitoring.
  • Strong Linux experience.
  • Knowledge of high-performance computing (HPC) environments and parallel processing.
  • Strong problem-solving abilities and attention to detail for optimizing simulation efficiency.
  • Excellent communication skills for documenting code and collaborating in team settings.

ADDITIONAL REQUIREMENTS:
  • Ability to work extended hours and weekends as necessary.
  • Ability to travel to other SpaceX sites as needed (up to 20%).

COMPENSATION AND BENEFITS:
Pay range:
Level I: $125,000.00 - $145,000.00/per year
Level II: $145,000.00 - $175,000.00/per year
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
ITAR REQUIREMENTS:
    Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to

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