This position at Qualcomm involves building scalable data and AI workflows using containerization and serverless platforms. The role requires collaboration with a global team to develop efficient data solutions and support analytics infrastructure. The ideal candidate will have extensive experience in data science and engineering, particularly with Python and various data technologies. This is an in-office role based in San Diego, requiring presence five days a week.

• 5+ years of prior experience in Data Science/Engineering and Databases
• 5+ years of Python programming experience
• Exposure to Docker and Kubernetes
• Familiarity with NLP, LLM, and GenAI
• Experience in advanced SQL using MPP databases like Clickhouse, BigQuery, or Snowflake
• 3+ years of IT-related work experience with a Bachelor's degree or 5+ years without a degree

• Build scalable data and AI workflows using containerization and serverless platforms
• Research and develop efficient, scalable, resilient, self-healing, and reusable data solutions
• Build LLM applications with GenAI
• Develop, code, and maintain systems to support the Analytics Infrastructure and Data Lake
• Partner on analytics requests and conduct statistical data analysis
• Implement monitoring, logging, and automated retraining pipelines
• Collaborate with a global team on projects and operations
• Collaborate on automation opportunities using AI in data operations

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.