Senior Applied AI Engineer, Product Simulation
Core
Lead the rebuild of NVIDIA's silicon productization toolchain using AI to optimize chip simulation, configuration, and firmware generation.
Role type
Senior Applied AI Engineer (Silicon Productization)
Builds
AI-driven simulation and configuration engines for CPU, GPU, and Tegra SoC productization
Domain
Semiconductor hardware engineering + Applied AI
Deliverable
production ML models | product features
Required skills
silicon bringup, firmware engineering, productization engineering, Python service deployment, LLM system integration, silicon characterization analysis, agent orchestration, CI/CD regression testing
Preferred skills
experience with new AI tooling within a week of release, mentoring engineering teams
Technologies
Python, LLMs, CLIs, MCPs, webhooks, CI systems
Responsibilities
Simulate power controller interplay and voltage-frequency operating points; break down silicon optimization workflows into composable AI skills; integrate silicon tools into custom agent harnesses; lead eval-driven development for applied AI in production; mentor engineers on AI direction
Seniority
Senior, hands-on IC with mentorship responsibilities
