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Neural Interface Engineer Jobs in Colorado (NOW HIRING)

Neural Interface Engineer information

What does an interface engineer do?

A neural interface engineer designs and develops systems that connect the human nervous system with electronic devices, often working on brain-computer interfaces or neural implants. They use skills in neuroscience, electrical engineering, and programming, and may work with specialized tools like signal processing software and biocompatible materials. Their work involves testing, troubleshooting, and ensuring safety and functionality of neural interface technologies.

What engineer makes $500,000 a year?

Neural interface engineers, especially those with advanced expertise in neurotechnology, machine learning, and biomedical engineering, can reach or exceed a $500,000 annual salary, often in senior or specialized roles within biotech or tech companies. High compensation typically reflects extensive experience, advanced degrees, and leadership responsibilities in cutting-edge research or product development.

What jobs can you do with neural engineering?

Neural engineers can work in roles such as neural interface developer, biomedical engineer, research scientist, or neurotechnology specialist. These jobs often involve designing brain-computer interfaces, developing neural signal processing algorithms, and working in research labs or medical device companies, requiring skills in neuroscience, engineering, and programming tools like MATLAB or Python.

What is the difference between Neural Interface Engineer vs Brain-Computer Interface Developer?

AspectNeural Interface EngineerBrain-Computer Interface Developer
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Computer Science, Neuroscience, or Biomedical Engineering
Work EnvironmentResearch labs, medical device companies, biotech firmsTech startups, research institutions, healthcare companies
Industry UsageDevelops hardware/software for neural data acquisition and processingDesigns algorithms and interfaces for translating neural signals into commands
Common Search/ComparisonOften compared due to overlapping skills in neural data and hardware developmentRelated but more software-focused

Neural Interface Engineers focus on developing hardware and systems to connect the nervous system with external devices, while Brain-Computer Interface Developers primarily design software algorithms to interpret neural signals. Both roles require knowledge of neuroscience and engineering, but differ in their emphasis on hardware versus software development.

What jobs make $3,000 a month without a degree?

Neural Interface Engineers typically require a relevant degree due to the specialized nature of the work; however, entry-level roles in tech support, sales, or manufacturing related to neural technology may pay around $3,000 monthly without a degree. Skills in electronics, programming, or technical troubleshooting can help qualify for such positions, often requiring certifications or on-the-job training.
What are popular job titles related to Neural Interface Engineer jobs in Colorado? For Neural Interface Engineer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Neural Interface Engineer jobs? Cities in Colorado with the most Neural Interface Engineer job openings:
Infographic showing various Neural Interface Engineer job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.
Senior Data and Network Engineer

Senior Data and Network Engineer

Modern Technology Solutions, Inc.

Colorado Springs, CO • On-site

$165K - $195K/yr

Full-time

Posted 11 days ago


Job description

Modern Technology Solutions Inc. (MTSI) is seeking a Senior Data and Network Engineer to provide Systems Engineering, Integration and Test (SEIT) support to the United States Space Force (USSF) Mission Delta which conducts Space Domain Awareness (SDA) operations in the national security space environment.
Job responsibilities will include, but may not be limited to:
Data:
  • Leading data analytics efforts and ensuring alignment with leadership objectives and vision
  • Overseeing the development and integration of data analytics and business intelligence tools to support squadron strategies and goals
  • Participating in various staff meetings to influence data capabilities and competencies within the squadron
  • Collaborating with customers to refine analytical requirements dynamically in an iterative, agile process
  • Conducting research on cutting-edge data science innovations (e.g. ML/AI) and adapting them for government environments
  • Access data from different repository through scripting or APIs to integrate data and present the data to leadership through data visualization tools
  • Shaping future architecture through analysis of mission data flows and generating analysis visualizations to influence decision making
  • Advising the innovation pipeline assessment team on AI utilization opportunities
  • Willingness to mentor colleagues

Network:
  • Supporting the development, prototyping, modernization, testing, and evaluation of SDA networks infrastructure software and hardware
  • Reviewing and evaluating system technical specifications, designs, analyses, test plans/procedures, and technical data packages
  • Providing systems engineering & integration support for SDA systems networks
  • Developing network diagrams to include modernization efforts and network additions for added hardware
  • Reviewing and defining system requirements
  • Interfacing with other government organizations and development contractors to facilitate preliminary concept exploration and candidate system design

Qualifications
Required:
  • 8+ years of relevant DoW/IC work experience supporting acquisition, sustainment, operations, systems engineering, mission integration, or capability-development environments
  • Technologies: AWS, TensorFlow, PyTorch, Ray, SciKit Learn, Git, JIRA, Tableau, Qlik, PostgreSQL, MongoDB, Docker, Kubernetes, MBSE
  • Analytical Skills: Machine Learning, Predictive Modeling, Survival Analysis, Time Series Analysis, Neural Networks, Random Forest, Gradient Boosting, Clustering, Data Mining, Statistical Analysis, ETL/ELT, Model Validation, Business Intelligence, Bias Detection, Algorithmic Fairness
  • Languages: Python, SQL, C++, MATLAB, VBA, C#, Java
  • Experience with Sensors and Radar networks
  • Demonstrated experience with network constraint modeling
  • Demonstrated experience with sensor network analysis in support of data latency performance , decommissioning effects, and cyber impacts
  • Experience leveraging MS&A capabilities
  • Design and manage networking solutions that integrate on-premises systems with cloud environments
  • Experience supporting cross-functional teams across complex mission, technical, or system-of-systems environments
  • Experience working with operators, engineers, technical SMEs, government civilians, military leaders, contractors, industry partners, and senior stakeholders
  • Experience supporting technical exchanges, product demonstrations, discovery meetings, stakeholder syncs, or senior-leader engagements
  • Ability to multitask, respond to quick-turn requests, and produce quality products with minimal oversight
  • Experience with presenting and communicating technical data to various audiences (government and leadership audience experience preferred)
  • Excellent analytical and organizational skills, specifically attention to detail, along with effective time and project management

Desired:
  • Experience working as an A&AS or SETA contractor
  • Knowledge of SDA architectures, systems, networks, interfaces, and data flows
  • Experience working on-site in a government client environment
  • Demonstrated experience using Atlassian Jira and Confluence
  • Knowledge of system interface requirements and requirements management as well as techniques to drive system behaviors
  • Networking experience with Cloud systems, on-premises systems, Kubernetes, Containers, and CI/CD
  • Experience in network design and administration for classified and unclassified environments
  • Deep understanding of cloud networking technologies (Azure, AWS, Nutanix, VMWare, or similar platforms)

Education Requirements:
  • B.S. in engineering or other relevant technical discipline
  • M.S. degree in a related STEM field (desired)

Security Clearance Level Required:
  • Active SECRET (Must be a U.S. Citizen)
  • TS/SCI Eligible

Location/Travel Requirements:
  • Place of work is Garden of the Gods, Colorado Springs, CO (On-Site)
  • May require travel up to 15% (within the US)

The pay range for this position in Colorado is $165,000/year to $195,000/year; however, base pay offered may vary depending on established government contract ranges, job-related knowledge, skills, and experience, and other factors. MTSI also offers a full range of medical, financial, and other benefits, dependent on the position offered. Base pay information is based on market location. Applications will be accepted on an ongoing basis. This posting will be renewed periodically until the position is filled.
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