Top Tech Jobs & Startup Jobs in Charlotte, NC

A 12-week internship focused on building data pipelines, machine learning workflows, and distributed systems. The intern will use Python, ML frameworks, Spark, Docker, and Kubernetes to develop, train, deploy, and scale models and intelligent data solutions. Responsibilities include supporting reliable, performant AI products and gaining experience with cloud platforms, scalability, fault tolerance, and production ML deployment.

Define product strategy, requirements, and roadmaps for AI-powered features. Partner with engineering and design teams to translate customer insights into actionable, data-backed product decisions and roadmaps. The internship includes collaboration with cross-functional teams, targeted learning, networking, and exposure to product development within Cisco’s technology organization.

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.

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.

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.

Participate in a 12-week internship developing low-level software in C and embedded Linux for networking infrastructure. Apply operating system and networking fundamentals, automate workflows using Python or Bash, and support DevSecOps and security-focused development. Interns collaborate with engineering teams, build and maintain embedded software, and may gain exposure to FPGA development, signal integrity, power integrity, and PCB design.

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.

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.

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.

Participate in a 12-week internship developing and maintaining scalable APIs, backend services, distributed architectures, and applications. Write clean code, troubleshoot software, and collaborate with engineering teams. Opportunities may include frontend development, RESTful services, microservices, cloud platforms, deployment automation, networking, and DevOps practices.