Software Engineer, Data & AI – Intern

Develop advanced data pipelines and machine learning infrastructure
Build analytics platforms within Cisco business groups including S&TO, Supply Chain, and Engineering
Develop and maintain software tools and platforms supporting AI and data-driven insights
Build reliable, scalable data infrastructure for operational excellence and strategic growth
Apply programming, data systems, and software engineering fundamentals to solve complex challenges
Collaborate with team members across Cisco’s global AI and data infrastructure organization
Support intelligent, scalable technology solutions

• Currently enrolled in an undergraduate degree program (Associate's or Bachelor's), or an educational/workforce development program such as an Apprenticeship, Boot camp, or Certification
• Qualifying education and work experience in Computer Science, Computer Engineering, Cybersecurity, IT, or a related program
• Expected to continue enrollment in a degree or qualifying educational/workforce development program after completing the internship
• Proficiency in Python or another programming language
• Strong understanding of software engineering fundamentals, including data structures, algorithms, and object-oriented programming
• Foundational knowledge of data analysis, machine learning, artificial intelligence, or related concepts
• Familiarity with data technologies and tools such as SQL, data processing frameworks, machine learning libraries, or cloud platforms
• Ability to learn and apply new technologies
• Preferred: hands‑on experience with AI/ML
• Preferred: familiarity with AWS, Azure, or Google Cloud
• Preferred: proficiency in Python and Tensor Flow, PyTorch, or scikit-learn
• Preferred: familiarity with Apache Spark, Hadoop, Apache Flink, Docker, or Kubernetes
• Preferred: understanding of distributed systems concepts and distributed computing patterns

Demonstrates proficiency in Python and foundational knowledge of machine learning, data analysis, and software engineering principles. Capable of developing advanced data pipelines and scalable data infrastructure while collaborating effectively within a team environment.

• Proficiency In Python
• Software Engineering Fundamentals
• Data Analysis
• Machine Learning
• Familiarity With AWS

• Data Structures
• Algorithms
• Object-Oriented Programming
• Machine Learning Libraries
• Data Processing Frameworks
• SQL
• Tensor Flow
• Py Torch
• Scikit-learn
• Distributed Systems

• Ability To Learn New Technologies
• Collaboration

• Undergraduate Degree Program
• Apprenticeship
• Boot Camp
• Certification

• Data Pipelines
• Machine Learning Infrastructure
• AI
• Data-Driven Insights
• Operational Excellence
• Strategic Growth

• AWS
• Azure
• Google Cloud
• Apache Spark
• Hadoop
• Apache Flink
• Docker
• Kubernetes