Internship Software Engineer Fall Co Op Jobs in New York

OVERVIEW

Crestron Electronics is dedicated to attracting exceptional emerging professionals by investing in resources and creating opportunities for hands-on learning, professional growth, and career development in a supportive work environment. As a result, we have an exciting opportunity for a Summer-Fall Software Engineering Co-op to join our XiO Cloud Engineering Team in Rockleigh, NJ or Boston, MA. This role has been designated for a 100% onsite work arrangement. Candidates must be commutable to Rockleigh, NJ or Boston. MA.

At Crestron Electronics, Diversity, Equity, and Inclusion drive innovation. Crestron's success hinges on continuing to build a workforce of unique individuals whose passion inspires us to create and revolutionize industry-leading products and services. There will always be more to accomplish, and at Crestron, we believe the best way forward is together.

Crestron Interns and Co-Ops can expect to be challenged with meaningful projects and tasks alongside professionals and subject matter experts in the field. Interns and Co-Ops are assigned a dedicated mentor who will be responsible for their development and acclimation to the company. Crestron will also provide a variety of training and networking opportunities to participants in the program, seeking to present participants with a comprehensive experience that enhances technical and non-technical skill sets and prepares students for their professional careers. Crestron is an equal opportunity employer proud of its commitment to Diversity & Inclusion.

For the XiO Cloud Software Engineering Co-op position, we are seeking a motivated student who is passionate about technology and eager to learn from experienced software engineers. XiO Cloud is Crestron's enterprise-grade, cloud-based web application that enables IT administrators and AV professionals to remotely monitor, manage, and configure IoT edge devices deployed across commercial environments worldwide.

This AI Engineering Co-op provides the opportunity to contribute to AI-powered capabilities within the XiO Cloud platform while gaining hands-on experience with Python development, intelligent automation, large language models, and emerging agentic technologies. The ideal candidate is self-motivated, creative, curious, and enjoys working in a collaborative engineering environment.

Through this Co-op experience, students will gain exposure to software development best practices, AI application development, prompt evaluation and testing techniques, cloud application architecture, and collaboration with cross-functional engineering teams.

RESPONSIBILITIES

With guidance from a dedicated mentor, perform the following tasks with increasing responsibility and independence throughout the Co-op experience:

• Contribute to well-defined projects supporting AI-powered capabilities within the XiO Cloud platform.
• Assist in developing and evaluating AI-powered workflows and intelligent application features using Python.
• Support the development and testing of LLM-based agent workflows and automation solutions.
• Assist with integration of AI services and APIs into enterprise software applications.
• Participate in software testing, debugging, prompt evaluation, and quality assurance activities.
• Assist in developing and executing tests to support reliability and performance of AI-enabled features.
• Participate in code reviews, Agile ceremonies, team discussions, and technical design conversations.
• Document technical findings, implementation details, evaluation results, and test outcomes to support team knowledge sharing.

QUALIFICATIONS

General Requirements

• Must be enrolled in an accredited college or university pursuing a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related field.
• Must have unrestricted work authorization in the United States now and in the future.

Technical Skills

• Strong programming fundamentals and problem-solving abilities.
• Understanding of software development fundamentals, data structures, and algorithms.
• Familiarity with version control using Git.
• Coursework, project experience, or familiarity with Python.
• Exposure to artificial intelligence, machine learning, generative AI, or natural language processing concepts through coursework, research, or personal projects.
• Basic understanding of APIs and software integration concepts.
• Interest in large language models (LLMs), prompt engineering, intelligent automation, or agent-based systems.
• Exposure to LangChain, LangGraph, vector databases, or similar AI frameworks is a plus but not required.

Other Skills

• Strong analytical and critical-thinking skills.
• Responsible, self-motivated, and eager to learn.
• Curiosity and enthusiasm for emerging AI technologies.
• Effective communication and collaboration skills.
• Ability to manage assigned tasks and meet deadlines.

Positive attitude and willingness to learn new technologies and development practices.