Staff Engineer, Process Engineering (Data Analytics)
Summary
Build and deploy AI/ML models for semiconductor manufacturing, optimizing process algorithms and edge inference pipelines to improve yield and efficiency.
Staff Engineer, Process Engineering (Data Analytics) Language View Profile Employee Login Job Alerts Link Job Description Staff Engineer, Process Engineering (Data Analytics) Bayan Lepas, Malaysia
Sense the power of light
ams OSRAM is a global leader in innovative light and sensor solutions. “Sense the power of light” – our success is based on our deep understanding of the potential of light. By adding intelligence to light, we enable our customers to drive transformative applications. Our around 20,000 employees worldwide focus on innovation alongside the societal megatrends of digitalization, smart living, energy efficiency, and sustainability. Whatever your role is, you are a part of a talented team that enjoys exploring and designing new technologies.
Your new responsibilities
- 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
What we look for
- 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
Please contact Muhammad Hafizuddin Mohamed Anuar for further information via Hafizuddin.Anuar@ams-osram.com or +60 (4) 3053141.
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.
Information at a Glance Job ID: 23917 Posting Start Date: 8/13/26 Job Family: Operations & Manufacturing Career Level: Professional (> 3 years) Company: OSRAM OS Penang Schedules: Full Time Work Model: Hybrid Job Shift: Flex time Regular/Temporary: Regular Department: OS Operations Engineering 4 Team 1
Application deadline: As long as the job is listed on our career page, we are looking for suitable candidates. We look forward to receiving your application.
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