Forward Deployed Engineer, Korea

Job Title

Forward Deployed Engineer, Korea

Role Summary

Embedded on-site with a major memory semiconductor customer in Korea for an initial 12-month deployment, you will adapt and operate Normal's EDA platform inside the customer's environment. The role focuses on integrating platform workflows, post-training models on proprietary data, debugging distributed systems, and validating model outputs against real production specifications.

This is a technically deep, field-facing engineering role that bridges AI models, production software, and semiconductor design/verification workflows.

Experience Level

Mid-level. No explicit years-of-experience requirement stated; role expects demonstrated engineering maturity and prior hands-on AI and hardware experience.

Responsibilities

Main responsibilities include:

• Diagnose and resolve production issues across system, model, data, and workflow boundaries.
• Design and run evaluations against real customer workflows; validate generated artifacts against specs.
• Integrate the platform with business-unit data, design flows, and production tooling.
• Translate customer constraints into model and platform requirements and relay signals to research/product teams.
• Post-train models on customer data and build continual-learning loops to improve system performance during the engagement.
• Make judgment calls on priorities and codify successful patterns for reuse across deployments.

Requirements

Must-have qualifications and skills:

• Willing and able to work on-site in Korea for the duration of the deployment (explicit requirement).
• Deep hardware experience combined with recent, hands-on AI experience.
• Strong problem-solving skills and the ability to trace issues anywhere in the stack.
• Strong software engineering fundamentals; proficient in Python and comfortable in production codebases.
• Familiarity with distributed systems and model deployment in production environments.
• Hands-on experience with modern ML tooling: prompt engineering, fine-tuning, evals, RAG, agentic patterns.
• Willingness and ability to learn semiconductor design and verification workflows (UVM, SystemVerilog) and work inside customers' testbenches and codebases.
• Ability to ship ML systems where model behavior must hold up on real-world data; calm decision-making under ambiguity.
• Comfortable with travel as needed.

Nice-to-have:

• Professional fluency in Korean and experience working within Korean engineering organizations.
• Direct experience with memory (DRAM, NAND/SSD) design or verification.
• Experience with EDA tools, semiconductor design flows, and coverage-driven verification.
• Experience building or leading FDE/customer-deployment functions at early-stage companies.
• Open-source contributions or publications in AI/ML venues.

Education Requirements

Not specified.

About the Company

Company: Normal Computing

Headquarters: New York, NY, USA

Normal Computing develops software and hardware solutions for the semiconductor and AI infrastructure industries, specializing in ASICs for image and video diffusion inference and AI accelerators. The company focuses on architecture and microarchitecture of compute blocks, PE array design, ISA co-design, and FPGA prototyping.