Software Engineer Data & AI I (Intern) - United States at Cisco in San Jose, CA

Job description

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Our dedicated team members are building the future of Cisco’s AI-driven platforms and data infrastructure, supporting innovation across the globe. You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms within business groups such as S&TO, Supply Chain, and Engineering. As part of this collaborative environment, you will contribute to the growth of emerging technologies in data and intelligent systems. Explore the opportunities at the intersection of data engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation. Your Impact You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives. Your strong background in programming, data systems, and collaboration enables you to solve complex challenges with innovation and attention to detail. By building and maintaining key software tools and platforms, you enable Cisco’s business groups to leverage AI and data-driven insights for operational excellence and strategic growth. Your work ensures high-quality, reliable data infrastructure that supports Cisco’s leadership in intelligent, scalable technology solutions. Minimum Qualifications Currently enrolled in one of the following: -An undergraduate degree program (Associate's or Bachelor's); or -An educational or workforce development program (e.g., Apprenticeship, Boot camp, or Certification). Qualifying education and work experience should be in Computer Science, Computer Engineering, Cybersecurity, IT, or a related program. Expected to continue enrollment in a degree or qualifying educational or workforce development program following completion of the internship . Proficiency in Python or another programming language, with a 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, gained through coursework, projects, research, internships, or other hands-on experience. Familiarity with data technologies and tools, such as SQL, data processing frameworks, machine learning libraries, or cloud platforms, with the ability to learn and apply new technologies . Preferred Qualifications Hands-on experience with AI/ML. Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud. Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch , or scikit-learn . Familiarity with distributed data processing and containerization/orchestration technologies, such as Apache Spark, Hadoop, Apache Flink, Docker, or Kubernetes. Understanding of distributed systems concepts, including scalability, reliability, fault tolerance, and data consistency, as well as familiarity with distributed computing patterns (e.g., load balancing, consensus algorithms, and inter-service communication). Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and