Aerospace/Aviation Artificial Intelligence Developer - Intern
About The Position
SimIS Inc. is seeking an Artificial Intelligence Developer Intern to develop and train AI tools to automate processes for Aerospace/Aviation Machine Language (ML) tool development. This role involves designing and programming AI systems, testing ML tools and processes, working with autonomous systems, and resolving issues with algorithms and data. The intern will evaluate machine learning processes to enhance automation, collect and analyze large datasets to identify trends, and manage data and project infrastructure. The position requires programming knowledge and experience with AI software, as well as developing and deploying AI algorithms. The intern will also build containerized application tools following the 12 Factor App methodology, Test Driven Development (TDD), Continuous Integration/Continuous Deployment (CI/CD) concepts, and Extreme Programming (XP). Collaboration with other team members to establish goals for AI processes and working as part of an Agile development team are key aspects of this role. Staying up-to-date on the latest AI developments and understanding data science are important. The role also involves supporting the management of third-party cloud computing platforms, using distributed learning specifications, and collaboratively developing and maintaining software. A security-first mindset and understanding of DevSecOps principles are expected. The candidate must be working towards a Bachelor of Science degree in a related field and have strong teamwork, communication, and analytical skills.
Requirements
- Program knowledge and some experience with AI software utilizing large amounts of data.
- Knowledge and some skill developing and deploying AI algorithms with an understanding of how artificial intelligence works.
- Ability to build containerized application tools following the 12 Factor App methodology, Test Driven Development (TDD), Continuous Integration / Continuous Deployment (CI/CD) concepts, and Extreme Programming (XP).
- Experience and/or knowledge in full-stack JavaScript/Python/Java/C/C++/C# development, front-end development (e.g., React, Angular, HTML, HTML5, JS, CSS, SASS, etc…), back-end development (e.g., Node.js, Django/Flask, SpringBoot, etc…), and database design and programming (mySQL, PostgreSQL, MongoDB, etc…).
- Aptitude for math, statistics, and NASA’s core mission areas - aeronautics, exploration systems, science, operations, and space technology, strong analytical and problem-solving skills, and proficiency in coding languages and software programming.
- Robust teamwork, communication and collaboration skills with ambitious self-motivation attitude and honed attention to detail and concentration competence.
- Able to support the management of third-party cloud computing platforms, including architectural design, access controls, cost-effective usage monitoring; cloud security (e.g., hardening, authentication, authorization).
- Able to use distributed learning specifications (e.g., SCORM, xAPI, Dublin Core) and familiarity with virtualization software and virtualized server implementations.
- Able to collaboratively develop and maintain software (e.g., via GitHub), develop software technical documentation and user guides, find, and fix software bugs, and have familiarity with standard web security (e.g., SSL certificates, OAuth).
- Able to pick up and learn new languages and frameworks.
- Adopts industry best practices, with a security first mindset and understands DevSecOps principles.
- Fluent in English and skills in written and oral communication.
- Candidate must be working towards a Bachelor of Science degree in a related field, such as computer science, engineering, mathematics, statistics or data science.
Nice To Haves
- Experience as an AI Developer/Engineer is highly desired.
- Experience and knowledge with various AI tools such as Tabnine, GitHub Copilot, CHATGBT, 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 are desired.
- Staying up to date on the latest AI developments with an understanding of data science.
- Aptitude for math, statistics, and NASA’s core mission areas - aeronautics, exploration systems, science, space operations, and space technology.
Responsibilities
- Develop and train Artificial Intelligence (AI) tools to help automate processes for Aerospace/Aviation Machine Language (ML) tool development.
- Design and program AI systems.
- Test the ML tools and processes developed.
- Work with autonomous systems.
- Resolve issues with algorithms and data to ensure the system works correctly.
- Evaluate machine learning processes to enhance automation.
- Collect and analyze large amounts of data to identify trends, ambiguities, and inconsistencies using data analytics.
- Manage the data, project infrastructure, and support the development of the most effective and efficient AI software architecture.
- Build containerized application tools following the 12 Factor App methodology, Test Driven Development (TDD), Continuous Integration / Continuous Deployment (CI/CD) concepts, and Extreme Programming (XP).
- Collaborate with other team members to establish goals for AI processes.
- Develop products as part of a balanced Agile development team to include Product Manager, Product Owner, engineers, developers, cyber specialist, and scientists and drive technical feasibility for the product backlog.
- Stay up to date on the latest AI developments with an understanding of data science.
- Support the management of third-party cloud computing platforms, including architectural design, access controls, cost-effective usage monitoring; cloud security (e.g., hardening, authentication, authorization).
- Use distributed learning specifications (e.g., SCORM, xAPI, Dublin Core) and familiarity with virtualization software and virtualized server implementations.
- Collaboratively develop and maintain software (e.g., via GitHub), develop software technical documentation and user guides, find, and fix software bugs, and have familiarity with standard web security (e.g., SSL certificates, OAuth).
- Pick up and learn new languages and frameworks.
- Adopt industry best practices, with a security first mindset and understand DevSecOps principles.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Part-time
Career Level
Intern
