Silicon Validation Engineer (RDSS Intern)
Core
Characterize pre-production silicon, define/refine features, and build validation methodologies to close the simulation-to-silicon gap for NVIDIA GPUs and AI infrastructure.
Role type
Silicon Validation Engineer (Research and Development Substitute Services Intern)
Builds
Production-ready silicon characterization methodologies, automated analysis flows, and data pipelines for next-gen chips.
Domain
Semiconductor / Accelerated Computing / AI Infrastructure
Deliverable
production ML models
Required skills
Digital design, computer architecture, circuit analysis, signal integrity, statistics, Python, C/C++
Preferred skills
AI/LLM development, lab instrumentation (oscilloscopes, logic analyzers), feature evaluation
Technologies
Python, C/C++, LLMs, generative AI, autonomous driving stacks
Responsibilities
Own characterization of pre-production silicon (speed, performance, power, yield, quality); Define and refine features based on real-world use cases; Drive failure analysis across circuit, firmware, and software layers; Analyze real-world workloads (LLM, AAA games, autonomous driving); Build and deploy AI-driven analysis flows and automated triage tools.
Seniority
Intern / New Graduate
