Software Engineer Data & AI PhD; Intern

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.

This role may be eligible for remote work in the United States depending on business needs and hiring manager approval.

You are a passionate software engineer withexpertisein 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 andmaintainingkey software tools and platforms, you enable Cisco’s business groups toleverageAI 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.

• Currently enrolled in a PhD program.
• Qualifying education should bein 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 Tensor Flow, PyTorch, or scikit-learn.
• Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (Map Reduce), or Apache Flink.
• Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads.

• 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).

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 build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details…