Remote-Eligible Data & AI Software Engineer (PhD)

Cisco Systems, Inc.; San Jose (CA); Remote; USD 55,000 - 75,000; Full time

Job summary

Cisco Systems, Inc. is seeking a PhD student intern to help design and implement scalable data pipelines and analytics platforms that power AI-driven decision making.

You will contribute to ML infrastructure and data services across Cisco's teams, collaborating with researchers and engineers. The role emphasizes Python, distributed data systems, and modern ML frameworks, with remote-work eligibility within the United States.

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.

Responsibilities

• Develop scalable data pipelines and analytics platforms to enable AI-driven decision making.
• Build infrastructure to support machine learning initiatives across Cisco teams.
• Collaborate with cross-functional groups to deploy reliable data services and ML workloads.
• Contribute to data infrastructure design to ensure scalability, reliability, and performance.

Skills

Python

Data structures

ML frameworks

Docker

Kubernetes

Apache Spark

Education

PhD in Computer Science / AI / ML

Tools

Docker

Kubernetes

Apache Spark

Hadoop

Job description

Cisco Systems, Inc. is seeking a PhD student intern to help design and implement scalable data pipelines and analytics platforms that power AI-driven decision making.

You will contribute to ML infrastructure and data services across Cisco's teams, collaborating with researchers and engineers. The role emphasizes Python, distributed data systems, and modern ML frameworks, with remote-work eligibility within the United States.