Senior Applied AI Engineer, Product Simulation

What you'll do

• Simulate power controller interplay, voltage-frequency operating points, and binning yields to improve performance and efficiency.
• Translate silicon product optimization workflows into context engineering using composable skills and orchestration layers.
• Integrate silicon productization tools into a custom agent harness including tool registries, webhooks, and trace capture.
• Lead eval-driven development for applied AI by performing error analysis on real silicon workflows.
• Develop automated scorers of hardware reasoning and CI regression gates to protect product quality.
• Define the team's AI direction and mentor engineers to raise the technical bar for AI integration.

What we're looking for

• BS or MS in EE, CE, or CS (or equivalent experience).
• 8+ years of experience in silicon bringup, firmware, or productization engineering.
• Experience deploying multiple production Python services and data pipelines.
• Experience developing at least one LLM-backed system used by subject matter experts.
• Ability to read and interpret silicon characterization outputs including speed, power, voltage noise, and binning.
• Proficiency in evaluating and implementing new AI tools shortly after their release.