ENGR I, PROCESS; MFG
SWIR Vision Systems
Seremban, Negeri Sembilan, Malaysia
Posted on Apr 9, 2026
The Process Engineer is responsible for driving process optimization, operational excellence, and continuous improvement initiatives using Lean Six Sigma (LSS) methodologies. This role focuses on improving quality, cost, yield, cycle time, and productivity through structured problem solving, data analysis, and cross‑functional collaboration in a manufacturing environment
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
| We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work. |
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- Bachelor’s Degree in Engineering or related technical field.
- Minimum 1 - 2 years of relevant process engineering or manufacturing experience.
- Lean Six Sigma Green Belt is an advantage
- Strong experience in process improvement, root cause analysis, and statistical data analysis.
- Hands‑on experience using quality and improvement tools (e.g. SPC, DOE, FMEA, Pareto, Fishbone).
- Proficient in data analysis software (e.g. Minitab, Excel, or equivalent).
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Key Responsibilities
- Lead and execute Lean Six Sigma (DMAIC) projects to improve manufacturing processes, reduce variation, and eliminate waste.
- Analyze existing processes, identify improvement opportunities, and implement sustainable corrective actions aligned with business goals.
- Collect, analyze, and interpret process data using statistical tools to identify root causes and drive data‑based decisions.
- Develop and monitor process metrics (e.g. yield, cycle time, cost, quality) to measure performance and improvement effectiveness.
- Collaborate with cross‑functional teams (Manufacturing, Quality, Engineering, Planning, and Operations) to support continuous improvement initiatives.
- Support process standardization, documentation, and control plans to ensure long‑term process stability.
- Facilitate problem‑solving sessions, Kaizen activities, and improvement workshops as required.
- Provide guidance and coaching to engineers, technicians, and operators on Lean Six Sigma concepts and best practices.
- Ensure compliance with internal standards, quality requirements, and operational guidelines.