Forward Deployed Engineer

About the Company

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible.

Responsibilities

• Diagnose issues in the system, model, data, or workflow within the customer environment
• Design and run evaluations against real customer workflows to validate generated artifacts
• Integrate the platform with business unit data, design flows, and existing infrastructure
• Translate customer constraints into model and platform requirements for internal research and product teams
• Post-train models on proprietary data and build continual-learning loops based on engineer feedback
• Make strategic decisions on product development and codify successful patterns for future engagements

Requirements

• Willing and able to work on-site in Korea for the duration of the deployment
• Deep hardware experience paired with recent, hands-on AI experience
• Strong software engineering fundamentals in Python and distributed systems
• Hands-on experience with the modern ML stack (prompt engineering, fine-tuning, evals, RAG, agentic patterns)
• Ability to work deeply with SystemVerilog, UVM testbenches, and semiconductor design workflows
• Experience shipping ML systems in production environments
• Ability to navigate ambiguity and make decisions with incomplete information

Preferred Qualifications

• Professional fluency in Korean
• Experience working within Korean engineering organizations
• Direct experience with memory (DRAM, NAND/SSD) design or verification
• Direct experience with EDA or semiconductor design flows
• Experience building or leading an FDE or customer-deployment function
• Open-source contributions or publications in AI/ML venues