← All roles

Silicon Validation Engineer (RDSS Intern)

NVIDIA· Intern
Apply on company site
Taipei, TaiwaninternPosted 2w ago

About the role

Internship in silicon validation focusing on pre-production silicon characterization, feature evaluation, methodology development, failure analysis, and AI-driven data flows within NVIDIA's Silicon Co-Design Group for RDSS program.

Responsibilities

  • Own characterization of pre-production silicon — speed, performance, power, yield, and quality — from early bring-up through production sign-off.
  • Define and refine features. Evaluate new silicon capabilities against real-world use cases, quantify benefit and cost of architected features post-silicon, and provide data to determine future products.
  • Build methodologies that last. Develop characterization and validation methodologies that close the simulation-to-silicon gap, correlate measured behavior to design, and scale across products and generations.
  • Drive failure analysis. Form hypotheses, design experiments, trace root causes across circuit, firmware, and software layers, and confirm answers.
  • Analyze real-world workloads — LLM inference and training, generative AI, AAA games, autonomous driving stacks — to push performance and energy efficiency.
  • Build and deploy AI-driven analysis flows, intelligent data pipelines, and automated triage tools to expand coverage and compress cycle time.
  • Build tools the team runs on — automation for characterization, data collection, test execution, and analysis. What you build will be used.

Qualifications

  • BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or Systems Engineering.
  • Solid fundamentals in digital design, computer architecture, circuit analysis, signal integrity, and statistics.
  • Proficiency in Python, C/C++, or equivalent.
  • The instinct to own outcomes. When something is wrong, you notice and you act.
  • You don’t need to check every box; emphasis on thinking, learning, and demonstrated builds over exact background alignment.

Skills

Required:Digital designComputer architectureCircuit analysisSignal integrityStatisticsPythonC/C++
Last updated Oct 9, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm

More open roles at NVIDIA