Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Paid 11-week internship supporting Edge of Network engineering. Responsibilities include testing, documenting, certifying, and transitioning code for edge devices, plus building, maintaining, and upgrading automation systems. Interns also participate in professional development, mentoring, networking, and cross-functional activities.

Paid, full-time 11-week internship supporting the AEO organization through projects involving RF engineering, systems engineering, testing, network automation, and improving Engineering-to-Operations handoffs. The intern will participate in professional development, mentorship, networking, cross-functional projects, and final presentations. Candidates must be rising seniors pursuing a bachelor's degree, maintain at least a 3.0 GPA, and be authorized to work in the U.S. without sponsorship.

Paid, full-time software engineering internship on the SpectrumJS team. Interns will develop features, fix bugs, write tests, and build tooling for the Spectrum TV application across connected TV and web platforms. The program includes department projects, professional development, mentorship, networking, community service, and final presentations.

Paid, full-time electrical engineering internship supporting customer-premises equipment certification, hardware lab development, and field issue investigations. Responsibilities include auditing vendor tests, conducting electrical and RF measurements, performing hardware teardowns, testing SNE power consumption, validating lab equipment, developing procedures, and documenting root-cause findings for networking hardware such as WiFi, DOCSIS, fiber, power supply, and battery backup devices.

Develop production-quality Java and/or TypeScript microservices in an AWS-based distributed systems environment. Responsibilities include feature development, defect resolution, automated unit, integration, and contract testing, code reviews, performance analysis, API and architecture documentation, Datadog observability improvements, Agile participation, modernization research, and presenting results to engineering leadership.

Paid, full-time software engineering internship supporting Spectrum TV Android applications. Interns will develop features across a multi-module Android codebase, instrument analytics events, resolve Jira and QA bugs, participate in code reviews, and use agentic coding tools for development, exploration, and refactoring. The program also includes mentorship, professional development, networking, community service, and cross-functional activities.

Supports data analysis, monitoring, and automation projects within AI Operations. Analyzes operational data, prepares datasets, identifies improvement opportunities, assists with automation that reduces manual monitoring, documents practices, gathers requirements, shares findings, and communicates technical work to nontechnical audiences.

Paid, full-time data science internship focused on applying AI and machine learning to DOCSIS network telemetry. Responsibilities include developing reusable ML experimentation platforms, detecting network impairments, predicting customer-impacting issues, benchmarking models, creating reliability dashboards, prototyping edge AI automation, and documenting recommendations for production deployment. Interns also participate in professional development, mentorship, networking, and team projects.

Paid, full-time software engineering internship supporting private wireless and network initiatives. Responsibilities may include developing graphical user interfaces and portals, integrating customer-specific use cases, coding for Android devices, applying AI and machine learning, researching 6G and non-terrestrial networks, and automating testing for radio and core access network solutions. Interns also participate in professional development, mentoring, networking, and cross-functional activities.

Paid, full-time data science internship supporting analytics and AI initiatives. Responsibilities include writing Python with data libraries, querying large datasets using BigQuery and S3, preparing data for machine learning, and developing basic statistical models. Interns collaborate with data scientists and engineers while participating in mentorship, networking, professional development, and team projects.