Software Engineering Fall Co Op - 1Finity

We are looking for a currently enrolled student to join our team as a part-time Intern/Co-op this Fall. This role features flexible scheduling and the opportunity to support the MSBU PSE team.

Internship Responsibilities

• Assist in the design, development, and testing of software components for optical networking platforms.
• Participate in code reviews, team discussions, and agile development ceremonies.
• Support debugging and troubleshooting efforts across software and hardware interfaces.
• Contribute to documentation and automation tasks to improve development workflows.
• Learn and apply best practices in embedded systems and network software development.

Preferred Qualifications

• Strong desire to learn wireless, and passionate about Python to help automate our lab test procedures.
• Currently pursuing a bachelor’s or master’s degree in CS, CE, EE, or a related discipline.
• Familiarity with C/C++ programming, especially in systems or embedded contexts.
• Experience working with or learning Linux-based development environments.
• Exposure to version control systems like Git and basic understanding of CI/CD pipelines.
• Interest in networking technologies and embedded systems.
• Experience with scripting languages such as Python, Go, or Rust is a plus.
• Strong communication skills and a willingness to learn in a collaborative team environment.

Bonus Experience (Not Required)

• Academic projects or coursework related to networking, embedded systems, or telecommunications.
• Familiarity with tools like Jira, Confluence, Docker, or Kubernetes.
• Interest in areas such as network telemetry, AI/ML for network optimization, or open-source contributions.

Why Intern with Us?

At 1Finity America Inc., you’ll be part of a team that’s pushing the boundaries of optical networking. You’ll gain valuable experience working on impactful projects, receive mentorship from industry experts, and explore career paths in embedded software and telecom innovation.

As of the date of this posting, a good faith estimate of the current pay scale for this position is: $22/hr. to $30/hr. USD. Placement in the range depends on several factors such as experience and skills and may change over time. Applications are being accepted on an ongoing basis.