Premier Automation LLC→
Software / Computer Science Intern at Premier… · Monroevil…
InternshipHybridMonroeville, PA
Skills
python programmingsystems programmingdata pipelinesinfrastructure developmenttcp/ipudpsocket communicationsqliteregular expressionsdata parsingmachine learningdiagnostics
Job Description
Summary: Premier Automation is seeking a Software / Computer Science Intern to work on applications related to data pipelines, networking, structured data handling, and software that interfaces directly with industrial equipment and engineering systems. The internship offers hands-on experience building Python-based tools that support real-time machine data, diagnostics, and industrial AI systems.
Responsibilities:
- Develop and support Python-based tools and applications
- Work with structured data including logs, CSV files, and configuration data
- Support real-time machine communications and data processing systems
- Assist with data storage, querying, debugging, and troubleshooting efforts
- Collaborate on software design decisions and system improvements
Required Qualifications:
- Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Computer Engineering, Electronics, or a related field
- Strong Python programming skills
- Interest in systems programming, networking, data pipelines, or infrastructure-style development
- Strong analytical thinking and troubleshooting ability
- Self-motivated, dependable, and capable of working independently in a hybrid environment
- Effective communication skills and willingness to contribute ideas
Preferred Qualifications:
- TCP/IP, UDP, or socket communication
- SQLite or other lightweight databases
- Regular expressions (regex) or data parsing
- Projects involving data pipelines, automation, or real-time systems
- Exposure to AI, diagnostics, or machine-learning-related technologies
Required Skills: Python programming, Systems programming, Data pipelines, Infrastructure development, TCP/IP, UDP, Socket communication, SQLite, Regular expressions, Data parsing, Machine learning, Diagnostics