Software Engineering Internship

Tractian • Atlanta, GA

1d

About The Position

The software department at TRACTIAN is at the forefront of innovation, crafting an integrated ecosystem that revolutionizes maintenance and process management. Comprising a dynamic team of experts, the department develops an all-in-one software solution that seamlessly combines predictive maintenance capabilities with a comprehensive Computerized Maintenance Management System (CMMS). This visionary approach empowers maintenance and process teams with a unified platform, enabling them to proactively predict equipment failures, optimize maintenance workflows, and enhance operational efficiency. In daily work the software department drives the convergence of cutting-edge technology and maintenance excellence to propel businesses toward unparalleled success.

Requirements

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Proficiency in at least one language: Python, JavaScript, TypeScript, Go, or C++, gained through coursework or personal projects.
• Exposure to web frameworks (React, Node.js, Flask, FastAPI, etc.) or back-end systems.
• Genuine interest in AI, machine learning, and IoT-driven data systems.
• Strong analytical, problem-solving, and collaboration skills.

Responsibilities

• Contribute to building and improving components of Tractian's web and mobile applications.
• Collaborate on machine-learning pipelines, model integration, and real-time inference systems under guidance.
• Write, test, and review clean, maintainable code using modern frameworks.
• Help develop APIs and automation tools that enhance predictive maintenance capabilities.
• Help troubleshoot and resolve software issues to support scalability, speed, and accuracy.
• Gain exposure to real-world software development cycles and learn how AI-powered features move from concept to release.
• Contribute to back-end and front-end feature development under mentorship.
• Help optimize system performance and scalability in cloud environments.
• Assist in deploying and validating AI/ML models within production applications.
• Document code, APIs, and integrations clearly for future team use.
• Work with cross-functional teams, including hardware, firmware, and product, to support seamless interoperability.

Benefits

• Hands-on experience building AI and machine-learning applications that power industrial intelligence.
• Mentorship from engineers and data scientists solving production-level challenges.
• Exposure to predictive-maintenance analytics and industrial machine learning.
• A chance to help shape the future of smart maintenance and industrial AI.

What This Job Offers

• Career Level: Intern