Comcast Platform Software Engineer Co-op

Comcast•Philadelphia, PA

3d•Onsite

About The Position

Comcast's Drexel Co-op Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 6-month immersive experience places students at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you’ll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path. The MachineQ organization is focused on building reliable, scalable platforms that help customers deploy, manage, and extract value from connected devices. The MQcentral team builds and operates MachineQ’s customer-facing IoT platform, MQcentral. This platform provides APIs and user interfaces that enable customers to deploy, manage, and receive telemetry from their IoT solutions at scale. Our work supports high-throughput, low-latency systems that deliver real-world value through reliable device management and data visibility. This Software Engineering Co-op position offers students the opportunity to gain hands-on experience contributing to a production IoT platform used by real customers. As a member of the core development team, the co-op will work alongside experienced engineers to design, build, test, and deploy backend services and supporting infrastructure. This role is designed for students who have strong technical fundamentals, are eager to learn, and are interested in backend systems, data platforms, and distributed architectures. The student will work on problems spanning data availability and discovery, event-driven system design, high-volume data processing, developer platform usability, and UI/UX improvements, with exposure to enabling AI and machine learning use cases through well-instrumented data pipelines. The biggest impact opportunities for a co-op in this role come from taking ownership of clearly scoped problem areas that serve as entry points into the team’s more complex engineering challenges. By owning backend features, tooling improvements, or data visibility enhancements end-to-end, the student builds the deep system context needed to actively collaborate with senior engineers on design decisions, tradeoffs, and longer-term platform improvements. This ownership model creates hands-on exposure to real-world engineering problems while contributing meaningful, production-ready value.

Requirements

Experience with at least one programming language (e.g., Go, Python, Java, or similar) and a solid understanding of basic data structures and algorithms.
Familiarity with core concepts such as operating systems, networking basics, concurrency, and system design principles (academic exposure is sufficient).
Basic understanding of relational databases (e.g., SQL, tables, indexes) and how applications interact with data stores.
Introductory knowledge of RESTful APIs and client-server communication.
Familiarity with Git and basic collaboration workflows (branches, pull requests, code reviews).
Ability to reason through problems, ask good questions, and break down larger tasks into manageable steps.
Exposure to or interest in writing unit tests and verifying code correctness.
Willingness to learn new tools, languages, and systems in a fast-paced environment.
Ability to clearly explain ideas and ask for help when needed, both verbally and in writing.
Comfortable working in a team setting and participating in standups, planning discussions, and peer feedback.
Currently pursuing a bachelor’s degree from Drexel University, with a cooperative learning track.
Available to work 40 hours per week for 6 months starting September 22, 2026, through March 26, 2027.
Authorized to work in the United States with no current or future sponsorship needs.
Available to report in-person to the work location on the job posting.

Nice To Haves

Preferred Majors: Computer Science, Electrical Engineering, Information Systems, or Data Science

Responsibilities

Contribute production code and unit tests to the MQcentral platform
Participate in daily standups, sprint planning, and team discussions
Engage in code reviews, both giving and receiving feedback
Assist with feature development from design through deployment
Support production releases and gain exposure to platform operations
Own well-defined backend components to gain system-level context and participate in larger architectural discussions
Partner with senior engineers to evolve features from initial implementation to scalable, production-ready designs
Improve observability and metrics to better understand system behavior and inform design tradeoffs
Contribute to data pipelines and APIs that feed into broader platform and analytics initiatives
Turn scoped projects into learning opportunities that inform future design and planning work