Top Remote Internships in Wilmington, NC

Develop and integrate complex software applications for Honeywell Aerospace products. Interns will contribute software features, generate innovative solutions, collaborate with experienced engineers, and gain hands-on experience through mentorship and professional development. The role requires continued enrollment in a relevant degree program and eligibility to work in the United States without current or future sponsorship.

Develop and implement embedded software and devices for aerospace systems. Responsibilities include analyzing system efficiency and stability, optimizing I/O performance, supporting software quality assurance, and coding, testing, and troubleshooting system software. The intern will work with embedded hardware and software technologies while receiving hands-on experience, mentorship, relocation benefits, and short-term housing when eligible.

Supports mechanical system, component, and assembly design and development; conducts engineering research and analysis; collaborates with cross-functional teams; helps solve technical problems and optimize designs; participates in testing and validation; and gains experience with industry-standard tools and software.

Supports the design and development of electrical systems and components, conducts testing and performance analysis, collaborates with cross-functional teams, and gains experience with industry-standard tools, electrical codes, and standards under experienced engineering guidance.

Supports the design and development of mechanical systems, components, and assemblies; conducts engineering research and analysis; collaborates with cross-functional teams to solve technical problems; participates in testing and validation; and gains exposure to industry-standard tools and software through hands-on aerospace projects.

The Systems Engineering Intern will assist with designing and developing system solutions, gathering requirements, defining specifications, integrating and testing system components, troubleshooting technical issues, and documenting engineering activities. The intern will collaborate with experienced engineers and cross-functional teams while gaining hands-on experience in system design, integration, testing, modeling, and simulation within Honeywell Aerospace.

Supports product marketing, market research, customer and competitive analysis, product positioning, pricing, go-to-market planning, digital marketing, demand generation, brand promotion, and new product launches. Collaborates with cross-functional teams to develop marketing plans, identify growth opportunities, monitor offering performance, and improve processes under the guidance of a regional marketing manager.

Supports the design and development of electrical systems and components, conducts testing and performance analysis, collaborates with cross-functional teams, and gains practical experience with industry-standard tools, technologies, electrical codes, and standards. The intern receives mentorship while contributing to aerospace engineering projects.

Develop knowledge-management articles, training content, job aids, visual aids, and knowledge checks for adult learners. Collaborate with business stakeholders, manage project deadlines, present learning content to large groups, and help translate complex software information into accessible training materials. The role offers hands-on experience in instructional design, operations, and learning and development.

Support CEO and leadership on market intelligence, financial modelling, go-to-market strategy, partnerships and PMO. Run competitor analysis, size segments, build investor-ready business plans, craft value propositions and support partner negotiations while tracking cross-functional OKRs and dashboards.

Supports the Business Transformation team through process mapping, documentation, data gathering, analysis, and other transformation projects. Collaborates with subject-matter experts and credit union teams, works with data across multiple systems, and synthesizes findings into actionable insights. The fully remote internship requires collaboration via Microsoft Teams and Cisco Webex, with flexibility around school schedules and a maximum of 29 hours per week.

Automate and streamline AI operations by building solutions that reduce repetitive tasks, accelerate incident response, and maintain resilient, scalable AI production environments. The intern will work with scripting, systems administration, monitoring, deployment automation, cloud platforms, Kubernetes, CI/CD, and AI/ML model deployment and monitoring.

Intern will develop and deploy generative AI applications using large language models, optimize neural networks for NLP and machine perception, and train or fine-tune models for scalable, reliable deployment. The role involves model building, performance optimization, cloud-native deployment, data pipelines, and collaboration within Cisco’s product organization.

Build data pipelines and machine learning workflows for Cisco products. Develop, train, deploy, and scale models using Python and ML frameworks such as PyTorch or scikit-learn. Work with distributed processing and orchestration tools including Spark and Kubernetes while supporting performant, reliable AI data systems. The 12-week internship includes technical learning, cross-functional collaboration, networking, and exposure to product and platform development.

Develop low-level software using C and embedded Linux for networking infrastructure. Apply operating system and networking fundamentals, automate workflows with Python or Bash, and support secure development through DevSecOps practices. The 12-week internship includes collaboration with product engineering teams, technical learning, and work on reliable, secure connectivity platforms.

Supports product strategy, requirements, and roadmaps for AI-powered features. Partners with engineering and design teams to translate customer insights into actionable requirements and data-backed development plans. The internship includes product research, competitive analysis, strategic planning, roadmap development, cross-functional collaboration, and exposure to product management methodologies.

Machine Learning Engineer interns develop generative AI applications using GPT-4, Claude, Llama, and transformer models. Responsibilities include building, training, fine-tuning, and deploying neural networks for NLP and machine perception, while optimizing performance, scalability, and reliability. Interns may also work with cloud-native platforms, Docker, data pipelines, AI security, validation techniques, and data science libraries.

Build and maintain scalable APIs, backend services, distributed architectures, and applications. Collaborate with engineering teams to design, troubleshoot, and ship reliable software, with opportunities to contribute to frontend systems. The 12-week internship includes hands-on product work, technical learning, networking, and leadership engagement.

Supports the Data Science and Machine Learning team by analyzing large-scale datasets, identifying anomalies and root causes, developing data validation and normalization methods, and improving the accuracy of derived data products. The intern will evaluate models, translate ambiguous problems into statistical formulations, debug messy data, test hypotheses, and implement maintainable analytical solutions using Python, SQL, and distributed data platforms.

Collect, clean, and analyze sports data; develop machine learning and predictive models; create visualizations and reports; collaborate with data and sports strategy teams; and monitor advances in sports analytics.

Build and ship production software across the frontend and backend, working closely with founders, customers, and product teams. Develop AI-powered features and systems involving web scraping, unstructured data, PDF parsing, and cloud infrastructure. Translate real-world real estate and financing problems into technical solutions, make high-impact decisions, and own shipped code. The internship may convert to a full-time role.

Supports global supply chain planning, including SI&OP, demand forecasting, inventory management, replenishment, and performance analysis. Uses Kinaxis RapidResponse to maintain planning data and assists with automating supply chain reporting. Contributes to cross-functional projects by coordinating tasks, tracking progress, and supporting completion. This is a 12-week, onsite internship in Maple Grove, Minnesota.

Support software development across frontend, backend, web, and mobile applications. Responsibilities include developing with WordPress, React, Next.js, Flutter, and Java; testing and maintaining applications; participating in code reviews; collaborating with teammates; and staying current with software development technologies.

Design user interfaces for web and mobile applications, create social media content, marketing creatives, presentations, and brand assets, and develop wireframes, user journeys, prototypes, and UI designs. Collaborate with marketing, product, and content teams across multiple brands while maintaining design consistency. Contribute creative concepts for campaigns and branding, stay current with design trends, and build a portfolio through real-world projects.

Support building and redesigning responsive, mobile-friendly websites; create wireframes and sitemaps; develop front-end UIs and assist with back-end tasks; optimize for performance, scalability, and SEO; participate in brainstorming, debugging, testing, and follow clean coding and version-control best practices under developer mentorship.