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Applications accepted until further notice.
This role may be eligible for remote work in the United States depending on business needs and hiring manager approval.
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 a PhD program.
-Qualifying education should be in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
-Expected to continue enrollment in degree program following completion of the internship.
Demonstrated proficiency in Python and fundamental data structures
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink.
Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads.
Preferred Qualifications:
Hands-on experience with AI/ML.
Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud.
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).
Pourquoi Cisco?
Chez Cisco, nous révolutionnons la façon dont les données et les infrastructures se connectent et protègent les entreprises à l’ère de l’intelligence artificielle et au-delà. Nous innovons sans crainte de manquer quelque chose depuis 40 ans pour créer des solutions qui optimisent la collaboration entre les humains et la technologie dans les mondes physiques et numériques. Ces solutions offrent aux clients une sécurité, une visibilité et des analyses inégalées sur l’ensemble de l’empreinte numérique.
Alimentés par la profondeur et l’étendue de notre technologie, nous expérimenterons et créons des solutions significatives. Ajoutez à cela notre réseau mondial de personnes fonceuses et d’experts, et vous verrez que les possibilités de grandir et de bâtir sont illimitées. Nous travaillons en équipe, en collaborant avec empathie pour réaliser de très grandes choses à l'échelle mondiale. Parce que nos solutions sont partout, notre impact est partout.
Nous sommes Cisco, et notre puissance commence avec vous.
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