Staff Engineer, Process Engineering (Data Analytics)
Summary
Develops and deploys AI/ML models for semiconductor manufacturing, optimizing processes with Six Sigma. Bridges data science, engineering, and IT/OT systems for real-time automation and predictive analytics.
The ams OSRAM Opto Semiconductors business offers high-performance opto semiconductor components and in-depth support for state-of-the‑art system solutions based on innovative semiconductor light sources. The Business Unit can look back on almost fifty years of production and development expertise.
- Develop and validate AI/ML/Mathematical models (physics-based and data-driven) performance. Establish full data pipeline from end-to-end
- Design and optimize processing algorithms including signal processing, ML/AI techniques selection, feature extraction and threshold calibration with guardrails
- Containerize and deploy model inference on edge or on-prem compute with zero or minimal-downtime operation
- Maintain model versioning, configuration management and deployment scripts across production environments
- Drive continuous improvement with six sigma methodology on model prediction power enhancement, inference latency, compute cost and automation coverage across manufacturing lines
- Collaborate with Process and Equipment Engineering to translate domain knowledge (KPIV/KPOV, OCAP) into model requirements, or with R&D and NPI in new product developement state
- Define SOP of detecting model capability drifts and execute recalibration
- Troubleshoot first-level issues: algorithmic errors, inference failures, edge device connectivity and communication issue
- Integrate edge computing units with machine systems via industrial protocols for real-time data or batch acquisition
- Coordinate with IT/OT on network infrastructure, cybersecurity and MES system interfaces for model deployment
- Candidate must have Bachelor/Master's in Computer Engineering, Data Analytics or Physics (for signal processing).
- 3-5 years in manufacturing automation, ML/AI deployment or industrial data engineering. Exposure to semiconductor/optoelectronics manufacturing or software/algorithm development.
- Six Sigma Green Belt (minimum) or Black Belt preferred for Staff. Project experience spanning at least 3 functional areas: Process Engineering, Equipment Engineering, IT/OT or Data Science. DMAIC-driven model development lifecycle experience.
- Experienced as technical project lead across cross-functional matrix teams. Demonstrated ability to influence key stakeholders toward intelligent automation adoption with tangible value proposition and risk mitigation plan.
- Experienced in root cause analysis (5-Why, Fishbone)
- Experienced in Python coding
- Fluent in English for technical writing and cross-functional business communication. Local language as needed for shopfloor interaction
- Willingness to work across shopfloor and office environments