Software Engineer Data & AI II; Intern

The Cisco Product Organization is the engine behind the platforms, technologies, and solutions defining the next generation of connectivity. Spanning AI Software & Platforms, Core Product Engineering, Collaboration, Security, Networking, Silicon, and Observability, we build the critical infrastructure that powers the digital world. Millions of people rely on our platforms every day, and our teams work together to build, refine, and scale products that drive meaningful impact.

We are a team of passionate innovators, united by our curiosity, collaboration, and dedication to helping one another do our best work. Ready to help us build what's next?

You’ll build data pipelines and machine learning workflows together, using Python to power real-world products. You’ll develop, train, and deploy models using frameworks like PyTorch or scikit-learn, and orchestrate large-scale data solutions using tools like Spark and Kubernetes. By building and scaling the intelligent data pipelines and distributed systems that power our models, you ensure our platforms remain performant and reliable as we process data at scale to drive the insights that fuel our AI-driven products.

• Currently enrolled in one of the following:
• An undergraduate degree program (Associate's or Bachelor's) with 2 years of work experience; or
• A Master’s degree program with 0 years of work experience.
• Qualifying education should be in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
• Expected to continue enrollment in degree program following completion of the internship.
• Proficient in Python and core data structures, demonstrated through at least one academic, personal, or professional project
• Exposure to at least one ML framework:
  Tensor Flow, PyTorch, or scikit-learn
• Working knowledge of at least one big data/distributed processing tool:
  Spark, Hadoop (Map Reduce), or Flink
• Hands-on experience with at least one deployment/orchestration tool:
  Docker or Kubernetes

• Experience deploying or product ionizing a trained ML model, beyond coursework-level training and evaluation
• Exposure to at least one cloud platform: AWS, Azure, or Google Cloud
• Understanding of at least two of: scalability, reliability, fault tolerance, or data consistency
• Working knowledge of at least two of: load balancing, consensus algorithms, or 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 about compensation for the role in your location during the hiring process.

U.S. employees are offered…