We are building AI platforms that run on real factory floors, predicting, optimizing, and controlling manufacturing processes in real time. This role is needed to expand our process optimization capability — we need a technical leader who can own the full lifecycle of ML-driven process optimization products, from causal modeling to productization and customer deployment. Currently there is no dedicated technical lead for this product area, and growing customer demand requires a senior leader to set the technical vision and drive execution.
Roles and Responsibilities
Own the technical direction for key projects — set vision, define what to build, manage priorities, and be accountable for delivery
Lead development of ML-driven process optimization products — from causal modeling to productization and customer deployment
Make architecture decisions: select modeling approaches, define system boundaries, and evaluate trade-offs between physical fidelity, inference speed, and product constraints
Define modeling strategy — decide which physics to encode, which architectures to use, and how to validate against real process data
Drive architecture reviews and technical decision-making across the process optimization team
Hire, mentor, and grow engineers — build a high-performing team through hiring, code reviews, and technical coaching
Coordinate across HQ (Seoul) and overseas R&D labs — aligning research with product roadmaps across time zones
Own production-grade delivery — models must run reliably inside equipment operating 24/7 on customer lines
Requirements
Doctorate (Ph.D.)
Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a related field
8+ years of industry experience post-Ph.D.
Proven track record of shipping process optimization or control products from problem definition through customer-facing deployment
Experience leading a technical team — setting direction, managing delivery, and making architecture decisions
Strong physics foundation (fluid dynamics, thermodynamics, heat transfer, mechanics)
