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SimIS

IT solutions for government and defense

Aerospace/Aviation Artificial Intelligence Developer Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipSuffolk, VA, USA$18 - $19 /hr

About the Job

Requirements

  • The candidate must be working toward an Associate's or Bachelor of Science degree in a related field, such as computer science, autonomous systems, engineering, mathematics, statistics, or data science, and currently attending Danville or Tidewater Community College in Virginia.
  • Experience evaluating machine-learning processes and experience as an AI developer or engineer are highly desired, but not mandatory.
  • The candidate should have program knowledge and some experience with AI software that uses large amounts of data, including managing data and project infrastructure and supporting AI software architecture development.
  • The candidate should have knowledge and some skill in developing and deploying AI algorithms, with an understanding of how artificial intelligence works.
  • The candidate should be able to build containerized application tools and know the 12 Factor App methodology, Test Driven Development, Continuous Integration/Continuous Deployment concepts, and Extreme Programming.
  • Experience or knowledge in full-stack JavaScript, Python, Java, C, C++, or C# development is needed, including front-end development, back-end development, and database design and programming.
  • The candidate should have aptitude for mathematics, statistics, and NASA's core mission areas, and proficiency in coding languages and software programming.
  • The candidate should be able to support management of third-party cloud computing platforms, including architectural design, access controls, cost-effective usage monitoring, and cloud security such as hardening, authentication, and authorization.
  • The candidate should be able to use distributed learning specifications such as SCORM, xAPI, and Dublin Core, and be familiar with virtualization software and virtualized server implementations.
  • The candidate should be able to collaboratively develop and maintain software via tools such as GitHub, develop software technical documentation and user guides, find and fix software bugs, and be familiar with web security such as SSL certificates and OAuth.
  • The candidate should be able to learn new languages and frameworks.
  • The candidate should adopt industry best practices, maintain a security-first mindset, and understand DevSecOps principles.
  • The candidate must be fluent in English.
  • The position requires on-site duty in Suffolk, Virginia, with an expected 14–16-hour-per-week schedule.

Responsibilities

  • Develop and train artificial intelligence tools to automate processes for aerospace and aviation machine-learning tool development.
  • Design and program AI systems, test developed machine-learning tools and processes, work with autonomous systems, and resolve algorithm and data issues to ensure systems work correctly.
  • Collect and analyze large amounts of data to identify trends, ambiguities, and inconsistencies using data analytics.
  • Collaborate with team members to establish goals for AI processes.
  • Develop products as part of a balanced Agile development team and drive technical feasibility for the product backlog.
  • Stay current on AI developments and maintain an understanding of data science.

Desired Qualifications

  • Experience evaluating machine-learning processes to enhance automation and experience as an AI developer or engineer.
  • Experience and knowledge with AI tools and platforms such as Tabnine, GitHub Copilot, ChatGPT, Google Bard, Perplexity AI, Claude, Cursor AI, Softr, Microsoft Power Apps, Codeium, Amazon CodeWhisperer, Quickbase, Airtable Cobuilder, Databutton, AutoNav, ExoMiner, MLNav, ASPEN, MAPGEN, Prithvi, and TensorFlow.
  • Robust teamwork, communication, collaboration, self-motivation, attention to detail, and concentration.

About the Company

SimIS

IT solutions for government and defense

SimIS provides information technology solutions for government and defense across modeling and simulation, test and evaluation, cybersecurity, and autonomous systems. Its offerings include executable models built with cognitive systems engineering for simulations, DoD/DHS T&E to verify system readiness, and cybersecurity services such as CMMC compliance, plus autonomous platforms developed in-house like the SAMS maritime system and RiverScout. The company differentiates itself by delivering end-to-end, integrated capabilities from concept to deployment, supported by a veteran-owned background and a dedicated robotics lab that advances unmanned systems. Its goal is to help government customers model, test, secure, and deploy advanced systems through a cohesive suite of engineering, analytics, and IT services.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2007

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