\\\\Description:\\\\ By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges\\\. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work\\\. With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility\\\. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work\\\. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility\\\. Your Mission is Ours\\\. At Lockheed Martin we keep people safe and solve the world's most complex challenges\\\. We place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility\\\. Our people are some of the greatest minds in the industry and they make Lockheed Martin a great place to work\\\. We provide diverse career opportunities designed to propel development and boost agility\\\. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life in and outside of work\\\. The Lockheed Martin Artificial Intelligence Center \\(LAIC\\) is looking for software engineer intern who possess a passion for conceptualizing, building, testing and maturing autonomous systems\\\. This position provides the opportunity to apply technical standards, principles, theories, concepts and techniques in the software field to develop tangible, differentiated and meaningful solutions aimed at significantly enhancing the sustainment of complex systems and enabling future hyper\\-battlespace capabilities\\\. The selected candidate will be part of a range of projects during Summer 2026 which include short\\-term sprints \\(rapid prototyping\\) and long\\-term engagements \\(integration, maturation of prototypes\\)\\\. The team is focused on supporting major projects with a small, innovative core team, leveraging AI to create and sustain state\\-of\\-the\\-art technologies across several Lines of Business\\\. The selected candidate will focus on development, integration and test, spanning the complete system development lifecycle\\\. This includes requirements generation, system and software , implementation, integration, and flight test\\\. The candidate can be expected to be exposed to Artificial Intelligence, with opportunities for study, personal development and experimentation in this area\\\. The candidate must exhibit self\\-motivation, a strong work ethic, time management and interpersonal skills\\\. Must be a US Citizen\\\. The candidate will be based in the Shelton, CT office, but may also work remotely\\\. \\\\Basic Qualifications:\\\\ \\- Pursuing Bachelor's degree in Computer Science, Data Science, Mathematics \\- Prior coding experience in Python \\- Familiarity with Data Science libraries \\(e\\\.g\\\. Numpy, PyTorch\\) \\- Familiarity with Software Engineering best practices \\- Must be a US Citizen \\\\Desired Skills:\\\\ \\- Familiarity with Deep Learning techniques for NLP or Computer Vision \\- Experience working with embedded devices and/or robotic systems \\- Experience training/fine\\-tuning language models or implementing orchestration frameworks \\(e\\\.g\\\. LangChain, LangGraph\\) \\\\Clearance Level:\\\\ None \\\\Other Important Information You Should Know\\\\ \\\\Expression of Interest:\\\\ By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match\\\. Should this match be identified you may be contacted for this and future openings\\\. \\\\Ability to Work Remotely:\\\\ Part\\-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility\\\. The specific weekly schedule will be discussed during the hiring process\\\. \\\\Work Schedules:\\\\ Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees\\\. Schedules range from standard 40 hours over a five day work week while others may be condensed\\\. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits\\\. \\\\Lockheed Martin is an equal opportunity employer\\\. Qualified candidates will be considered without regard to legally protected characteristics\\\.\\\\ \\\\The application window will close in 90 days; applicants are encouraged to apply within 5 \\- 30 days of the requisition posting date in order to receive optimal consideration\\\.\\\\ Join us at Lockheed Martin, where your mission is ours\\\. Our customers tackle the hardest missions\\\. Those that demand extraordinary amounts of courage, resilience and precision\\\. Theyre dangerous\\\. Critical\\\. Sometimes they even provide an opportunity to change the world and save lives\\\. Those are the missions we care about\\\. As a leading technology innovation company, Lockheed Martins vast team works with partners around the world to bring proven performance to our customers toughest challenges\\\. Lockheed Martin has employees based in many states throughout the U\\\.S\\\., and Internationally, with business locations in many nations and territories\\\. \\\\Experience Level:\\\\ Co\\-op/Summer Intern \\\\Business Unit:\\\\ ENTERPRISE BUSINESS SERVICES \\\\Relocation Available:\\\\ Possible \\\\Career Area:\\\\ Artificial Intelligence \\\\Type:\\\\ Call\\-In \\\\Shift:\\\\ First

The role requires a candidate pursuing a Bachelor's degree in Computer Science, Data Science, or Mathematics. Prior coding experience in Python is necessary, along with familiarity with Data Science libraries such as Numpy and PyTorch. The candidate should also be familiar with Software Engineering best practices. Experience with Deep Learning techniques for NLP or Computer Vision, working with embedded devices or robotic systems, and experience training/fine-tuning language models or implementing orchestration frameworks are desired.