Applied AI Engineer, Product Convergence and Closure
Core
Rebuilding NVIDIA's toolchain to use AI for optimizing chip behavior, moving simulation outputs into firmware and manufacturing systems.
Role type
Senior IC Applied AI Engineer (Silicon Toolchain)
Builds
Infrastructure pipelines, observability systems, and AI agents for chip production workflows.
Domain
Semiconductor manufacturing, Silicon engineering, AI/LLM tooling
Deliverable
production ML models | infrastructure
Required skills
Python services and data pipelines, LLMs and agents, data quality and validation, system integration, product convergence workflows
Preferred skills
Silicon product proficiency (power, noise, binning), MCP, DSPy, LLM evaluation frameworks, Perl interop, dashboarding
Technologies
Python, FastAPI, LLMs, MCP, RAG, Perl
Responsibilities
Build pipelines converting simulation data to firmware tuning and product specs; Use LLMs to automate analysis, validation, and reporting; Build observability systems to catch data errors; Collaborate with silicon, firmware, and manufacturing teams on hardware requirements.
Seniority
Senior, hands-on IC
