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# Software Engineer Data & AI II (Full Time) - United States

- **Company:** Cisco Systems, Inc.
- **Location:** New York, NY, United States
- **Salary:** $125,700 - $203,100
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Data Infrastructure, Data Structures, Data Systems, Linux, Distributed Computing Environment, Distributed Systems, Fault Tolerance, Apache Hadoop, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Tools, Software Engineering, SQL Databases, Google Cloud, Load Balancing, Apache Spark, Containerization, Kubernetes, Apache Flink, Integration Frameworks, Data Pipelines, Software Library, Cisco, Docker, Programming Languages
- **Published:** November 8, 2026
- **Apply:** https://diversityjobs.com/career/18876324/Software-Engineer-Data-Ai-Ii-Full-Time-United-States-California-San-Jose

## About the Role

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., * Meet one of the following (completed within the past 3 years or expected to be completed within the next 12 months):

-A Master's degree with 0 years of work experience; or

-A Bachelor's degree with 2 years of work experience.

 * Qualifying education and work experience should be in Software Engineering or a related field.

 * Proficiencyin Python or another programming language, with a strong understanding of software engineering fundamentals, including data structures, algorithms, and object-oriented programming.

 * Foundational knowledge of data analysis, machine learning, artificial intelligence, or related concepts, gained through coursework, projects, research, internships, or other hands-on experience.

 * Familiarity with data technologies and tools, such as SQL, data processing frameworks, machine learning libraries, or cloud platforms, with the ability to learn and applynew technologies.

Preferred Qualifications

 * Hands-on experience with AI/ML.

 * Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud.

 * Proficiencyin Linux

 * Familiarity with distributed data processing and containerization/orchestration technologies, such as Apache Spark, Hadoop, Apache Flink, Docker, or Kubernetes.

 * 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).