AI Design Automation Engineer
Core
Build AI-powered engineering platforms and data pipelines that enable chip design teams to find, understand, and interact with complex semiconductor design data using natural language and agentic workflows.
Role type
Senior IC backend software engineer (AI/LLM & data infrastructure)
Builds
Scalable software systems, data pipelines, knowledge graphs, and AI/LLM-driven capabilities for semiconductor design
Domain
Semiconductor design / AI infrastructure
Deliverable
production ML models
Required skills
Python, backend system design, data pipeline engineering, LLM/agentic system development, knowledge graph construction, vector search, graph databases, TDD, distributed batch processing, time-series/relational data stores
Preferred skills
RTL/HDL/Physical Design semantics (SystemVerilog/Verilog), toolchains for hardware design source parsing, agent orchestration frameworks, retrieval-augmented generation
Technologies
Python, LLMs, knowledge graphs, vector search, graph databases, SystemVerilog, Verilog
Responsibilities
Design and build backend data pipelines for engineering data; evolve data schemas and queries for production scale; develop AI/LLM components for natural language interaction; diagnose and fix reliability/performance issues in distributed pipelines; tune LLM components for accuracy, cost, and latency; collaborate with architecture and design teams to translate needs into platform capabilities
Seniority
Senior, hands-on IC
