
Software Engineering Internship
Tractian Technologies · Atlanta, GA · Onsite
- Software & SaaS
- 501–1,000 employees
- Atlanta, Georgia
Weak hiring record · median 133 days open
All reasons
- Open 75 days
- 86% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
Software at TRACTIAN
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.
What you'll do
As a Software Engineering Intern, you will work alongside our engineering team to support the development and enhancement of key features across our applications and systems. You will contribute to building and refining solutions that are both user-centric and technologically sound, while gaining hands-on experience with our product's overall functionality and development practices.
Responsibilities
- Build & Improve Features: Contribute to building and improving components of Tractian's web and mobile applications.
- Support ML Pipelines: Collaborate on machine-learning pipelines, model integration, and real-time inference systems under guidance.
- Write Quality Code: Write, test, and review clean, maintainable code using modern frameworks.
- Support API Development: Help develop APIs and automation tools that enhance predictive maintenance capabilities.
- Troubleshoot Issues: Help troubleshoot and resolve software issues to support scalability, speed, and accuracy.
- Learn the Full Cycle: Gain exposure to real-world software development cycles and learn how AI-powered features move from concept to release.
- Contribute Across the Stack: Contribute to back-end and front-end feature development under mentorship.
- Support Performance Work: Help optimize system performance and scalability in cloud environments.
- Assist with AI/ML Deployment: Assist in deploying and validating AI/ML models within production applications.
- Document Your Work: Document code, APIs, and integrations clearly for future team use.
- Collaborate Cross-Functionally: Work with cross-functional teams, including hardware, firmware, and product, to support seamless interoperability.
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.
What You'll Gain
- 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.
Skills
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