NPI Product Engineer (Manufacturing) — Data-Driven Solver

Sanmina Corporation

Bayan Lepas

On-site

MYR 56,000 - 89,000

Full time

3 days ago
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Job summary

Sanmina Corporation in Malaysia is seeking a Product Engineer (Manufacturing) to support concurrent engineering, NPIs, and optimization of the production process. The role involves hands-on involvement in product builds, troubleshooting, and implementing new product releases.

The ideal candidate has an engineering degree (Electrical/Electronics/Communication) with at least 1 year of experience, strong analytical and problem-solving skills, and familiarity with CP/CPK analysis.

Qualifications

  • Bachelor's or equivalent degree in Engineering (Electrical/Electronics/Communication) with at least 1 year of experience.
  • Strong analytical and problem-solving skills with data acquisition experience.
  • Ability to coordinate and implement new product releases.
  • Good knowledge of RF and design engineering is advantageous.
  • Fresh graduates with good credentials may be considered.

Responsibilities

  • Provide concurrent engineering inputs to align design with manufacturing requirements.
  • Support customer NPIs by collaborating with product development and NPIs teams to improve quality, productivity, and cost.
  • Utilize CP and CPK analyses and data acquisition to ensure new product readiness.
  • Hands-on involvement in builds, troubleshooting, maintenance, and optimization of NPI production processes.
  • Develop and present test plans, coordinate testing and data collection.

Skills

Analytical
Problem solving
Data acquisition
CP/CPK analysis
RF knowledge
Troubleshooting

Education

Engineering degree (Electrical/Electronics/Communication)

Tools

Statistical tools

Job description

Sanmina Corporation in Malaysia is seeking a Product Engineer (Manufacturing) to support concurrent engineering, NPIs, and optimization of the production process. The role involves hands-on involvement in product builds, troubleshooting, and implementing new product releases.

The ideal candidate has an engineering degree (Electrical/Electronics/Communication) with at least 1 year of experience, strong analytical and problem-solving skills, and familiarity with CP/CPK analysis.

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