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 customer environments
• Design and run evaluations against real customer workflows to validate generated artifacts
• Integrate the platform with customer 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 customer data and build continual-learning loops
• Make strategic decisions on product development and codify successful patterns

Requirements

• Strong software engineering fundamentals with proficiency in Python
• Experience with distributed systems
• Hands-on experience with the modern ML stack (prompt engineering, fine-tuning, evals, RAG, agentic patterns, model deployment)
• Ability to gain fluency in semiconductor verification workflows, including SystemVerilog and UVM testbenches
• Experience shipping ML systems in production environments
• Ability to travel when needed

Preferred Qualifications

• Direct experience with EDA, semiconductor design flows, or verification workflows
• Experience building or leading a Forward Deployed Engineering function
• Open-source contributions or publications in AI/ML venues