Software Engineering Intern

Do you enjoy building software in a collaborative, fast-paced environment? Are you excited about solving ambitious technical challenges and creating impactful solutions?

We’re looking for Junior and Senior Computer Science students to join our ILS engineering team as Software Engineering Interns.

• Collaborate with experienced engineers on real-world software projects
• Contribute to the design, development, and testing of innovative solutions
• Work with modern tools and technologies in a supportive team environment

• Currently pursuing a BS in Computer Science (or related field)
• Hands-on experience with one or more: Python, C++, Java, or MATLAB
• Strong problem-solving skills and a willingness to learn
• Ability to work well in a team setting

• Build next-generation solutions to help tackle complex issues.
• Engage in end-to-end software engineering processes.
• Be part of high-caliber teams of engineers focused on designing, creating, and fine-tuning simulation platforms that assess and validate the latest algorithms and systems for autonomy.
• Contribute to multidisciplinary teams, and actively participate in software design evaluations, code reviews, and test strategy planning.

Specifically, we are seeking an Intern that has been focused in the following areas of study and hands-on demonstrated experience to assist the ILS team:

• Computer Science / Information Technology
• Artificial Intelligence (AI)
• Data Science
• Data Analysis
• Natural Language Processing
• Automation Testing (i.e. Selenium)

• Are working towards a Bachelor of Science in Computer Science, Computer Engineering, or a related technical field.
• Have classroom experience in or knowledge of software design patterns in either C++, Python, Java, or MATLAB.
• Have a minimum 3.0 GPA on a 4.0 Scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).
• Have pursued technical projects and extracurricular activities outside of the classroom. Specifically, AI project experience.

• Possess classroom or related experience in working closely with autonomous systems and machine learning algorithms.
• Have classroom or professional experience in developing with middleware or containerization software tools, such as Data Distribution Service, ZeroMQ, Docker, or Kubernetes.
• Hold classroom experience in data science and statistical analysis.
• Have experience in a modern software development environment, such as Agile or Kanban, that includes automated testing (Selenium), continuous integration and deployment, and DevSecOps protocols.