HW Engineering Analytics Engineer, Senior

This position is not eligible for Qualcomm immigration sponsorship. Position requires to be in the San Diego office, 5 days a week. Responsibilities Build scalable data/AI workflows using containerization and serverless platforms. Get data ready for AI—build datasets for training, inference, and retraining (AI‑ready data foundations). 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 & Data Lake. Partner/contribute on analytics requests and conduct statistical data analysis. Implement monitoring, logging, and automated retraining pipelines. Collaborate with global team on projects and operations. Collaborate on automation opportunities using AI in data operations. Ideal Candidate Will Have 5+ years of prior experience in Data Science/Engineering and Databases. 5+ years of Python programming experience. Proven track record of coding in a multi‑developer environment—code collaboration, reviews, etc. Exposure to Docker, Kubernetes. Exposure to MLFlow or similar tools for experiment tracking and model workflow support. Familiarity with NLP / LLM / GenAI. Experience with prompt, vector, or retrieval data pipelines. Experience in advanced SQL using MPP databases like Clickhouse, BigQuery, Snowflake, etc. Minimum Qualifications 3+ years of IT‑related work experience with a Bachelor’s degree, or5+ years of IT‑related work experience without a Bachelor’s degree. EEO Statement Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected classification. Pay Range $45.77 - $68.65 per hour (approx.) #J-18808-Ljbffr