Senior Applied AI Engineer, Manufacturing & System Co-Design
Core
Design and maintain the workflow infrastructure that aligns system specifications with manufacturing test programs across NVIDIA's GPU, SoC, and CPU portfolios to prevent silicon escapes and yield loss.
Role type
Senior Applied AI Engineer (Manufacturing & System Co-Design)
Builds
Production-grade Python pipelines, automated checks, and agent-ready CI infrastructure for specification alignment.
Domain
Semiconductor manufacturing, silicon bring-up, and system software engineering.
Deliverable
production ML models | product features | infrastructure
Required skills
Python, systems engineering, specification ecosystem knowledge (POR, guard-bands, test insertion), cross-org influence, AI/LLM tooling integration, workflow architecture
Preferred skills
Experience building LLM-backed tools, cross-org adoption leadership, reading silicon outputs (speed, power, binning)
Technologies
Python, CLIs, MCPs, CI infrastructure
Responsibilities
Define manufacturing spec types and methodology; develop automated checks to catch specification drift; integrate tooling into end-to-end program spines; build agent-ready harnesses for AI usage; drive cross-org adoption of workflows.
Seniority
Senior, hands-on IC with strategic workflow design
