AI Software QA II (Intern) - United States

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 Join our innovative engineering team focused on building next-generation AI/ML solutions. You’ll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their flawless operation. The AI Software & Platform team delivers AI products and platforms for all Cisco Secure products and portfolios, enabling businesses worldwide to defend against threats and safeguard their most vital assets with security resilience. Our passion lies in making our customers secure by simplifying security with zero compromise. Your Impact As a Quality Assurance (QA) Intern on our AI Software & Platform team, you will play a key role in supporting the quality and reliability of our Generative AI products. Working alongside expert engineers and QA professionals, you will gain hands-on experience in testing AI-driven systems and learn how quality is ensured in a cutting-edge technology environment. Assist in designing, developing, and executing test plans and automation scripts for complex AI-driven features and systems, contributing to comprehensive validation and quality assurance. Help build, maintain, and enhance test automation frameworks for AI pipelines, APIs, and user interfaces, increasing testing efficiency and coverage. Identify, document, and report software bugs and quality issues, collaborating with engineers, data scientists, and product specialists to resolve problems and improve product reliability. Participate in projects that enhance customer perception of quality by offering new points of view, supporting continuous improvement, and upholding high standards. Learn and apply industry-standard QA tools, testing methodologies, and protocols, while receiving mentorship, hands-on training, and exposure to real-world AI projects to prepare for a future career in technology and quality assurance. Minimum Qualifications Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. Proficiency in Python programming, with expertise in additional languages considered an advantage. Familiarity with modern testing tools and frameworks such as Pytest, Playwright, Selenium, Locust, or similar, and adaptability to new technologies. Strong diagnostic and debugging skills, including experience in creating and maintaining automation pipelines and test utilities. Preferred Qualifications Practical experience with backend and frontend testing frameworks, with an eagerness to improve test automation coverage and infrastructure. Shown ability to collaborate effectively with cross-functional teams to resolve issues, implement solutions, and deliver quality results. Excellent communication and interpersonal skills, with a team-oriented mentality, ownership, and accountability. Prior experience or coursework related to generative AI technologies or AI/ML platforms ProductIntern26 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 soluti ... (truncated, view full listing at source)