AI Chip Architect

Seoul HQ Until 8/22/2026 First posted March 18, 2026 Last posted March 18, 2026
Job description

Responsibilities

  • Define architecture/microarchitecture specifications. Take ownership of one or more chip modules and implement them in RTL.

  • Converge functionality and PPA of the design.

  • Implement your designs in RTL (System Verilog or other HDLs) and iterate the design for optimal power, timing, and area.

  • Create simple test benches and debug complex logic simulations.

Minimum Qualifications

  • Master's degree in Electrical Engineering, Computer Science or equivalent practical experience.

  • 2+ years of industry experience in chip design, specializing in RTL design (architecture and implementation), logic synthesis, verification, and timing closure

  • Experience in microprocessor simulator implementation in depth with C++ or other high-level languages

  • Experience in modeling PPA of the design

  • Experience in scripting languages to automate simulation and analysis

Preferred Qualifications

  • Ph.D in Electrical Engineering, Computer Science or equivalent practical experience is a plus

  • Experience in accelerator design is a plus

  • Experience with highly pipelined designs, and with multiple-clock-domain designs.

  • Knowledge of machine learning algorithms, compiler, processor design, accelerators, and/or memory hierarchies.

  • Experience with Chisel or RISC-V is a plus

Contact

About this role

Summary

Designs and implements chip architecture, microarchitecture, RTL in System Verilog, and synthesizes chip modules.

Job title

AI Chip Architect

Experience level

2+ years

Industry

software

Location requirements

Seoul HQ, on-site required

Salary

Not specified

Management role

No

Skills & keywords

Required skills

RTL designSystem VerilogC++microarchitecturePPA modelingscripting

Preferred skills

accelerator designmachine learning algorithmsChiselRISC-Vpipelines

Specializations

RTL designmicroarchitecturechip modulessystem verilogPPA
Locations

Structured locations inferred from the posting.

Unknown location

On-site