Software Engineer CO-OP/Intern – Log Analytics and Process Automation

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B) global organization? We offer all that and more at Microchip Technology Inc.

People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence.

Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you.

Visit our careers page to see what exciting opportunities and company perks await

Job Description:

As a Software Engineer CO-OP/Intern, you will be involved in one or more of the following activities:

Develop and maintain Python scripts and tools for automation, data parsing, and system integration.

Design and implement APIs to interface with MCP servers.

Utilize AI tools and frameworks, as well as popular data-science Python libraries (e.g., Pandas, NumPy, Matplotlib, scikit-learn), to optimize and automate validation and data analysis tasks.

Analyze and visualize large datasets to extract actionable insights and support validation activities.

Troubleshoot and resolve issues related to automation scripts, data pipelines, and server configurations.

Collaborate with hardware, firmware, and software engineers to ensure seamless integration and validation of system components.

Document your work clearly and present technical information to small teams.

Contribute to the planning, execution, and documentation of feature tests for prototype systems.

Requirements/Qualifications:

Solid understanding of fundamental programming concepts and paradigms, preferably demonstrated through coursework in Python.

Knowledge of core data structures and algorithms and their application in data processing.

Strong interest in automation, data parsing, and scripting.

Familiarity with or willingness to learn popular data science Python libraries.

Theoretical understanding of APIs (e.g., RESTful APIs) and client/server communication.

Basic knowledge of computer architecture and operating systems.

A strong academic record and a genuine passion for applying theoretical knowledge to practical problems.

Ability to learn quickly and adapt to new technologies.

Desirable:

Knowledge of additional programming languages (e.g. JavaScript/Typescript).

Familiarity with Linux and Docker Containers.

Understanding of computer interconnect protocols (e.g., PCIe, I2C, SPI, TCP/IP).

Experience with version control systems (e.g., Git).

Why Join Us?

Work on real-world projects with a talented, international team.

Gain hands-on experience with the latest technologies in automation, and data science.

Flexible working hours and a supportive learning environment.

Opportunity to contribute to innovative solutions for data centers, and high-performance computing.

Travel Time:

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