Silicon Validation Engineer (RDSS Intern)

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 the benefit and cost of architected features post-silicon, and provide the data that determines what gets built into 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 don't stop until the answer is confirmed.
• Analyze real-world workloads — LLM inference and training, generative AI, AAA games, autonomous driving stacks — to push best-in-class performance and energy efficiency.
• Build and deploy AI-driven analysis flows, intelligent data pipelines, and automated triage tools that 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.
• What we need to see
• BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or Systems Engineering.

Languages