Lead Architect – AI Platforms & Distributed Systems
Core
Design and implement scalable cloud-native AI applications and distributed systems to enhance engineering productivity in chip design, qualification, and debug workflows.
Role type
Lead Architect – AI Platforms & Distributed Systems
Builds
Scalable cloud-native AI applications, intelligent agents, user interfaces, and distributed computing architectures for chip design and debug teams.
Domain
Semiconductor / Chip Design / Hardware Engineering
Deliverable
production ML models
Required skills
Python, C/C++, software architecture, data structures, algorithms, distributed systems, LLMs, GenAI platforms, RAG optimization, ML frameworks (PyTorch, TensorFlow, scikit-learn), ETL pipelines, SQL/NoSQL databases
Preferred skills
Data analysis (Pandas, NumPy), Cloud platforms (AWS), LangChain
Responsibilities
Design and implement AI/ML applications and pipelines using LLMs and GenAI platforms; Build intelligent agents and user interfaces for engineering workflows; Develop data ingestion, transformation, and analysis pipelines; Build distributed computing architectures and scalable backend services; Implement ETL pipelines and integrate with databases; Provide technical support and training to internal teams.
Seniority
Senior, hands-on IC
