AI Platform Development Engineer

Responsibilities

• Design and implement AI/ML applications and pipelines using LLMs, GenAI platforms, and custom models to address engineering challenges.
• Build intelligent agents and user interfaces that integrate into chip design and debug workflows.
• Develop robust data ingestion, transformation, and analysis pipelines.
• Build distributed computing architectures and scalable backend services.
• Implement ETL pipelines and integrate with SQL/NoSQL databases.
• Collaborate with cross-functional teams to ensure timely delivery of high-quality solutions.
• Provide technical support and training to internal teams to improve tool adoption.

Requirements

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or a related field.
• Strong knowledge of data structures, algorithms, and software design principles.
• Proficiency in programming with Python and C/C++.
• Experience building scalable software systems and solving complex technical problems.
• Proven experience with software architecture and design patterns.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Master's degree in Computer Science or a related field.
• Proficiency in data analysis using Python libraries such as Pandas, NumPy, and Matplotlib.
• Familiarity with SQL databases, ETL frameworks, and cloud platforms like AWS.
• Hands-on experience with Cloud Scale and Distributed Computing Architectures.
• Experience with AI/ML technologies including supervised/unsupervised learning, LLMs, RAG optimization, and frameworks like PyTorch, TensorFlow, or scikit-learn.
• Experience with LLM integration frameworks such as LangChain.

About the Company

Qualcomm is a leading technology innovator that pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future.