4 months ago
Hsinchu, TaiwanSenior / Staff+
Responsibilities
- Design, develop, evaluate, and deploy production-grade machine learning and GenAI solutions.
- Analyze large-scale engineering datasets and develop models for prediction, anomaly detection, classification, optimization, and decision support.
- Build LLM-powered applications, AI agents, agentic workflows, RAG systems, and engineering copilots.
- Develop scalable Python services, APIs, automation tools, and machine learning inference systems.
- Collaborate with engineering teams to translate requirements into technical solutions and independently drive projects from concept to production.
- Mentor junior engineers, share technical best practices, and contribute to emerging AI technology initiatives.
Requirements
- Bachelor's or master's degree in computer science, data science, machine learning, software engineering, artificial intelligence, electrical engineering, or a related field.
- At least 5 years of industry experience in machine learning, artificial intelligence, data science, or software engineering.
- Strong Python programming skills and software engineering fundamentals.
- Proven experience developing and deploying machine learning models in production, including knowledge of algorithms, feature engineering, evaluation, validation, statistics, and data analysis.
- Hands-on experience with PyTorch, TensorFlow, or Scikit-Learn; Git-based development workflows; and large-scale data analysis.
- Experience developing generative AI applications using LLMs and fluent English communication skills.
- Preferred qualifications include AI agent frameworks, prompt engineering, RAG, knowledge retrieval, inference services, model monitoring, lifecycle management, AWS, APIs, data processing pipelines, and semiconductor or manufacturing engineering data.
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.