> Markdown version of [/jobs/ext/4588050-software-engineer-data-ai-ii-full-time-united-states](https://www.wearedevelopers.com/jobs/ext/4588050-software-engineer-data-ai-ii-full-time-united-states). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer Data & AI II (Full Time) - United States - **Company:** Cisco Systems, Inc. - **Location:** Durham, NC, United States (Remote available) - **Salary:** $125,700 - $203,100 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cyber Security, Computer Engineering, Data Infrastructure, Data Structures, Data Systems, Distributed Computing Environment, Distributed Systems, Fault Tolerance, Apache Hadoop, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Tools, Tensorflow, SQL Databases, Google Cloud, Load Balancing, Pytorch, Apache Spark, Containerization, Scikit Learn, Kubernetes, Information Technology, Apache Flink, Integration Frameworks, Data Pipelines, Software Library, Cisco, Docker, Programming Languages - **Published:** November 5, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3496645975&tx=JJ5145FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role 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., * 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 ; or - An educational or workforce development program (e.g., Associate's, Apprenticeship, Boot camp, or Certification) with 3 years of work experience ; or - A High school diploma (or equivalent) with 4 years of work experience. * Qualifying education and work experience should be in Computer Science, Computer Engineering, Cybersecurity, IT, or a related program. * Proficiency in 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 apply new technologies., * Hands-on experience with AI/ML. * Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud. * Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. * 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). ## Description This role may be eligible for remote work in the United States depending on business needs and hiring manager approval.