Industrial Engineer
Core
Lead the strategy, architecture, and delivery of next-generation AI products powering autonomous operations in semiconductor manufacturing.
Role type
Staff/Principal Full-Stack AI Engineer (Autonomous Manufacturing)
Builds
End-to-end AI solutions, digital twin platforms, robotics integration, and intelligent automation systems for global fabs.
Domain
Semiconductor manufacturing / AI / Robotics / Digital Twins
Deliverable
production ML models | product features | infrastructure
Required skills
Python, TypeScript/JavaScript, SQL, Docker, Kubernetes/OpenShift, Cloud platforms (AWS/Azure/GCP), Machine Learning, Deep Learning, GenAI/LLM integration, 3D modeling, Simulation environments, Robotics software stacks
Preferred skills
Semiconductor manufacturing experience, Digital twin platforms (NVIDIA Omniverse, Gazebo, Unity), MLOps/LLMOps, MES/Industrial IoT
Technologies
React, Angular, Streamlit, FastAPI, NVIDIA Omniverse, Gazebo, Unity Robotics Hub, Docker, Kubernetes, OpenShift, AWS, Azure, GCP
Responsibilities
Design and build end-to-end AI products including data pipelines, APIs, and web applications; Architect scalable application layers bridging sensor/robotics data with dashboards; Integrate robotics platforms and AMRs with smart manufacturing ecosystems; Develop digital twin environments for fab layouts and tool stations; Design LLM and agentic AI frameworks for production workflows; Optimize AI performance and cost via GPU utilization and model quantization; Lead CI/CD, monitoring, and AI lifecycle management; Mentor teams and drive software engineering best practices.
Seniority
Staff/Principal, technical leader with strategy & mentorship
