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Remote Neural Engineer Jobs in Albuquerque, NM (NOW HIRING)

Remote Neural Engineer information

See Albuquerque, NM salary details

$57.7K

$108.2K

$196.8K

How much do remote neural engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote neural engineer in Albuquerque, NM is $108,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $128,400.00 per year, depending on experience, location, and employer.

What is a remote neural engineer?

A Remote Neural Engineer is a professional who designs, develops, and maintains neural engineering systems—such as brain-computer interfaces or neural prosthetics—while working remotely. They often collaborate with multidisciplinary teams to create solutions that interface with the nervous system, using expertise in neuroscience, biomedical engineering, and software development. Remote Neural Engineers may work from home or distributed locations, utilizing digital tools to analyze neural data, develop algorithms, and contribute to research or product development in the neural technology field.

What are the key skills and qualifications needed to thrive as a remote neural engineer, and why are they important?

To thrive as a Remote Neural Engineer, you need a solid background in neuroscience, biomedical engineering, or electrical engineering, often supported by a relevant degree or advanced certification. Proficiency with neural signal processing software, programming languages like Python or MATLAB, and brain-computer interface (BCI) systems is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are vital soft skills in this role. These skills and qualities are essential for developing, analyzing, and troubleshooting complex neural systems while collaborating with teams remotely.

How do remote neural engineers typically collaborate with cross-functional teams while working off-site?

Remote Neural Engineers frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with colleagues in neuroscience, software development, and data science. Regular virtual meetings and asynchronous communication help ensure alignment on project goals, data analysis, and protocol development. This structure allows for flexibility, but also requires proactive communication and strong organizational skills to manage complex, interdisciplinary tasks from a distance.

What is the difference between Remote Neural Engineer vs Remote Data Scientist?

AspectRemote Neural EngineerRemote Data Scientist
Required CredentialsDegree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfacesDegree in computer science, statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, tech companies, healthcare institutions with focus on neural dataTech firms, finance, healthcare, analyzing large datasets
Industry UsageNeuroscience, biomedical engineering, neurotechnologyTechnology, finance, healthcare, research
Common Search/ComparisonYesYes

Remote Neural Engineers focus on developing and implementing neural interfaces and understanding neural systems, often requiring knowledge of neuroscience and biomedical engineering. Remote Data Scientists analyze large datasets to extract insights, typically with skills in statistics and programming. While both roles involve technical expertise and data analysis, Neural Engineers are more specialized in neural technologies, whereas Data Scientists have a broader application across industries.

How much money do remote neural engineers make?

Remote neural engineers typically earn between $80,000 and $150,000 annually, depending on experience, education, and the complexity of projects. Senior professionals with specialized skills in neural signal processing and machine learning can earn higher salaries, especially when working for research institutions or tech companies.

Is remote neural engineering a good career?

Remote neural engineering is a specialized field involving the development of brain-computer interfaces and neural signal processing, often requiring expertise in neuroscience, engineering, and programming. It offers opportunities in research, healthcare, and technology sectors, with a growing demand for skilled professionals due to advances in neurotechnology and remote collaboration tools.

What are popular job titles related to Remote Neural Engineer jobs in Albuquerque, NM?

For Remote Neural Engineer jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Remote Neural Engineer jobs in Albuquerque, NM look for?

The top searched job categories for Remote Neural Engineer jobs in Albuquerque, NM are:

Infographic showing various Remote Neural Engineer job openings in Albuquerque, NM as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $108,207 per year, or $52 per hour.

Senior/Principal Computer Scientist, Space, Satellites and Remote Sensing Systems, Onsite

Sandia

Albuquerque, NM • On-site, Remote

$117K - $235K/yr

Full-time

Medical, Retirement, PTO

Posted 26 days ago


Job description

About Sandia
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
What Your Job Will Be Like
We are seeking computer scientists to design and develop software and algorithms for high throughput, high volume data processing missions. Our team delivers creative solutions for sophisticated real-time decision support systems. Join our hard-working, multi-disciplinary team and start building the future today!
On any given day, you may be called on to:
  • Be part of software teams that deliver solutions for remote sensing systems, including the capture, processing, exploitation, visualization, and distribution of real-time space-based sensor data
  • Propose and lead image processing and data-centric research and development projects with a focus on computer vision algorithms for the detection, tracking, and classification of observational targets
  • Architect, develop, and optimize high performance software for real-time, distributed systems that include compute environments with CPUs, GPUs, and/or FPGAs
  • Engage with diverse specialists in areas such as data fusion, signal and image processing, analytics, cloud computing, machine learning, modeling and simulation, service architectures, data management and visualization

Due to the nature of this position onsite work is required.
Salary Range
$117,500 - $235,700
*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.
Qualifications We Require
Qualification we Require
  • Bachelor's degree with a minimum of five (5) years of relevant experience.
  • Ability to obtain and maintain a DOE Q and SCI clearance

Qualifications We Desire
The ideal R&D Computer Science candidate for Sandia National Laboratories will in addition possess the following:
  • Graduate degree in Computer Science or a highly related field plus one (1) year of relevant experience
  • Active DOE Q or DOD TS security clearance with the ability to obtain and maintain an SCI.
  • Proficiency in modern software development using C++ and/or Python in Linux-based environments, including experience with version control, debugging, testing, and performance-aware development practices.
  • Experience designing, training, evaluating, and deploying AI/ML-enabled computer vision solutions, including image processing, segmentation, object detection, classification, feature extraction, and related applications using neural networks, deep learning, or transformer-based architectures.
  • Familiarity with advanced data exploitation, sensor/data fusion, signal or image analytics, algorithm optimization, edge processing, or high-performance computing techniques across CPU, GPU, FPGA, or heterogeneous computing environments.
  • Experience developing, containerizing, and deploying high performance and scalable applications in cloud-native or hybrid computing environments, including exposure to technologies such as AWS, Kubernetes, Docker, OpenShift, CI/CD pipelines, or distributed computing frameworks.
  • Demonstrated ability to translate mission or customer needs into effective technical solutions through strong problem-solving, collaboration, and communication skills.
  • Ability to work effectively in multidisciplinary and diverse teams, with a commitment to continuous learning, technical excellence, and expanding expertise in emerging AI, software, and computing technologies.

About Our Team
The Real Time Data Processing Department develops software, algorithms, and distributed computer systems for real-time extraction of events in a remote sensing domain. Skills within the department include software engineering; signal and image processing; statistical inference; neural networks; data fusion; image registration; pattern recognition; radiometric calibration; compressive sensing; human-computer interfaces; data visualization; and design, implementation, deployment, operational user support, and maintenance of collaborative large complex software systems.
Posting Duration
This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance and SCI access, both of which require US citizenship. SCI access may also require a polygraph examination. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain these levels of access may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.