Staff Engineer, Process Engineering (Data Analytics)
Summary
Staff engineer at ams OSRAM developing and deploying AI/ML and physics-based models for semiconductor manufacturing analytics: building end-to-end data pipelines, signal processing and feature extraction, containerized edge/on-prem inference, and Six Sigma-driven model improvement across production lines. Core stack: Python, ML/AI, edge computing, industrial protocols.
Staff Engineer, Process Engineering (Data Analytics)
- 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
ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.
The ams OSRAM Group is a global leader in innovative light and sensor solutions.
With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries.
“Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends.
About ams OSRAM
The ams OSRAM Group is a global leader in innovative light and sensor solutions.
With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries.
“Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends.