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Remote Matlab Jobs in Colorado (NOW HIRING)

KBR

Systems Engineer

Colorado Springs, CO · On-site +1

Colorado Springs, CO (or remote) * Travel Requirements: Minimum: up to 10% of time within the continental United States. * Working Hours: Standard 40 hours per week. Basic Compensation: $90-120k ...

In Tandem

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

Remote USA - In Tandem Compensation: $100,000 - $135,000 / year Description At In Tandem, we build technology that helps families manage everyday routines and navigate life's biggest transitions.

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All JobsMatlab JobsRemote Matlab JobsRemote Matlab Jobs in Colorado

Remote Matlab information

See Colorado salary details

$64.1K

$114.4K

$184.5K

How much do remote matlab jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote matlab in Colorado is $114,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $133,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Matlab position, and why are they important?

To thrive as a Remote Matlab professional, you typically need a strong background in mathematics, engineering, or computer science, with advanced proficiency in Matlab programming and problem-solving. Familiarity with technical tools such as Simulink, version control systems (like Git), and experience in data analysis or modeling are often required. Strong communication skills, self-motivation, and effective time management are essential soft skills for successful remote collaboration. These competencies are vital for delivering high-quality technical solutions independently while maintaining alignment with distributed team objectives.

How can I make $100,000 a year working from home?

A remote MATLAB professional can reach a $100,000 annual income by gaining advanced skills in data analysis, algorithm development, or automation, and working for companies that offer high-paying remote roles. Building a strong portfolio, obtaining relevant certifications, and gaining experience in specialized fields like engineering or finance can also increase earning potential. Consistent remote work, freelancing, or consulting can further boost income levels.

What are some common challenges faced by remote Matlab professionals, and how can they overcome them?

Remote Matlab professionals often face challenges such as coordinating complex projects across different time zones and staying connected with team members for regular updates and feedback. To overcome these hurdles, it's important to establish clear communication routines using collaboration tools like Slack or Teams and to document code and progress thoroughly for transparency. Additionally, troubleshooting technical issues without on-site support can be handled by developing strong online research skills and participating in Matlab-focused forums or user groups. Proactively managing your schedule and remaining adaptable help ensure steady productivity and minimize misunderstandings in a remote work environment.

Will MATLAB be replaced by AI?

MATLAB, used by remote MATLAB professionals, is a specialized programming environment for numerical computing and algorithm development. While AI tools can assist with coding and data analysis, MATLAB's specific functions and industry applications make complete replacement unlikely in the near term. Professionals with skills in MATLAB and AI integration will continue to be in demand for complex technical tasks.

How to make $1000 a week remotely?

Remote Matlab jobs that pay $1000 a week typically require advanced skills in programming, data analysis, or engineering, and often involve freelance or contract work. Building a strong portfolio, gaining certifications, and applying to multiple projects or clients can help achieve this income level, especially with consistent effort and specialized expertise.

What is a Remote Matlab job?

A Remote Matlab job involves using Matlab software to perform programming, data analysis, simulations, and algorithm development while working from a remote location. These roles are common in industries like engineering, finance, and research, where Matlab is used for mathematical modeling and data processing. Remote Matlab professionals may collaborate with teams online, write scripts, debug code, and optimize algorithms without being physically present in an office.

What are popular job titles related to Remote Matlab jobs in Colorado? For Remote Matlab jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Matlab jobs in Colorado look for? The top searched job categories for Remote Matlab jobs in Colorado are:
What cities in Colorado are hiring for Remote Matlab jobs? Cities in Colorado with the most Remote Matlab job openings:
Remote Matlab jobs near you
Infographic showing various Remote Matlab job openings in Colorado as of July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $114,380 per year, or $55 per hour.
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Colorado Springs, CO • Remote

$190K - $220K/yr

Full-time

Re-posted 10 days ago

Job description

Overview

FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.

Responsibilities

Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range for candidates is $190k-$220k . *Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. FTI has a location-based compensation structure; there may be a different range for candidates in other locations.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME

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