Architect – AI-Powered Performance Verification Automation
Core
Design, develop, and deploy AI/ML-based tools and intelligent agents to automate hardware performance verification workflows, reducing manual effort and accelerating cycles.
Role type
Senior IC AI/ML engineer (hardware verification automation)
Builds
AI-driven verification tools, intelligent agents, and data pipelines for performance validation
Domain
Semiconductor hardware verification + Generative AI/ML
Deliverable
production ML models
Required skills
Python, ML/AI frameworks (PyTorch, TensorFlow), LLM APIs, hardware verification methodologies, CI/CD pipelines, data pipeline design
Preferred skills
C/C++, SystemVerilog/UVM, RAG architectures, agentic AI frameworks (LangChain, CrewAI), NVIDIA GPU/SoC architecture
Technologies
PyTorch, TensorFlow, scikit-learn, OpenAI, NVIDIA NIM/NeMo, LangChain, CrewAI, SystemVerilog, UVM
Responsibilities
Build AI/ML tools to generate and analyze performance test cases; Develop agents to identify regressions and recommend fixes; Integrate LLM assistants for natural-language querying; Design data pipelines for model training; Collaborate with verification engineers to validate solutions; Establish metrics to measure automation impact
Seniority
Senior, hands-on IC
