Software Engineer Data/AI/Intelligent Systems

Info Resume Edge; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Cisco is looking for a Software Engineer specialized in Data/AI in San Francisco, CA. The selected candidate will be responsible for designing analytics platforms and building infrastructure to support machine learning projects. The ideal candidate will have relevant degree completion or enrollment and proficiency in Python, alongside hands-on experience with popular machine learning frameworks. Knowledge of distributed processing technologies and container orchestration is essential. Join Cisco to contribute to transformative AI initiatives.

Qualifications

• Completion of a relevant degree program or certification within the past 3 years.
• Proficiency in Python with strong data structure knowledge.
• Experience with machine learning frameworks.

Responsibilities

• Design robust analytics platforms.
• Build infrastructure for machine learning.
• Solve complex challenges with innovation.

Skills

Python

Machine Learning Frameworks

Data Structures

Distributed Data Processing

Containerization and Orchestration

Education

Relevant degree or certification

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Apache Spark

Job description

About the job Software Engineer Data/AI/Intelligent Systems

Cisco is a leading technology company focused on revolutionizing data and infrastructure in the AI era. The role involves developing scalable data pipelines and building analytics platforms to support machine learning initiatives, enabling Ciscos business groups to leverage AI for operational excellence.

Responsibilities

• Design robust analytics platforms
• Build infrastructure to support machine learning initiatives
• Solve complex challenges with innovation and attention to detail
• Build and maintain key software tools and platforms

Required

• Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or relevant degree program (e.g., Associates, Apprenticeship, Boot Camp, or Certification in a specialized program + 1 year of relevant experience, High School Diploma + 2 years of relevant experience) or Bachelors + 0 years of relevant experience
• Proficiency in Python, with a strong understanding of 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

Preferred

• 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)