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Remote Scientific Computing Jobs in Colorado (NOW HIRING)

Chief Engineer

Colorado Springs, CO · On-site +1

$169K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... Bachelor's degree in engineering, computer science, or related field. * 10+ years' experience of ...

Chief Engineer

Colorado Springs, CO · On-site +1

$160K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... Bachelor's degree in engineering, computer science, or related field. * 10+ years' experience of ...

Technical Program Manager

Colorado Springs, CO · On-site +1

$145K - $180K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... Bachelor's degree in engineering, computer science, business management, or related field. * 10+ ...

Dot Net Developer

Denver, CO · Remote

$49.75 - $65.50/hr

We provide these services in multiple computing environments and use technologies such as client ... Qualifications Bachelor's degree in Computer Science, Electrical Engineering, Information Systems ...

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Showing results 1-20

Remote Scientific Computing information

What is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

What are the most commonly searched types of Scientific Computing jobs in Colorado? The most popular types of Scientific Computing jobs in Colorado are:
What are popular job titles related to Remote Scientific Computing jobs in Colorado? For Remote Scientific Computing jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Scientific Computing jobs in Colorado look for? The top searched job categories for Remote Scientific Computing jobs in Colorado are:
What cities in Colorado are hiring for Remote Scientific Computing jobs? Cities in Colorado with the most Remote Scientific Computing job openings:
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Colorado Springs, CO • Remote

$144K - $246K/yr

Full-time

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 $144k-$246k. *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.

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Employment Type: FULL_TIME