jobs in IITMatrix

Full Time Staff NPI Product Engineer Jobs, in IITMatrix Pulau Pinang - Maukerja

Staff NPI Product Engineer

IITMatrix

Share
Save

Working Location

  • Pulau Pinang Malaysia

Job Description

Responsibilities

Key Responsibilities

• Lead Product Bring-Up: Lead new products from R&D into mass production. Work closely with cross-functional teams to improve product yield, lower manufacturing costs, and ensure customer satisfaction.

• Product Characterization: Leverage RF expertise to develop and implement electrical and RF test strategies for validating and characterizing new products prior to manufacturing release.

• Risk Analysis & Quality: Partner with R&D early in the design phase to anticipate and solve potential manufacturing issues. Define manufacturing risk assessments (such as PFMEA) to ensure a smooth and stable ramp-up to mass production.

• Data-Driven Problem Solving: Utilize data analysis skills, statistical tools, and Six Sigma methodologies to investigate test data, troubleshoot manufacturing bottlenecks, and optimize reliability.

• Continuous Improvement: Connect product design, test data, and manufacturing processes to continuously improve overall product performance and manufacturability.


Qualifications & Requirements

Education & Experience

• Education: Bachelor’s, Master’s, or Doctoral degree in Electronics Engineering or a related discipline.

• Experience: Minimum 4–8 years of industry experience, with a strong background in RF Test Development, Product Characterization, or Product Engineering highly desired.


Technical Competencies

• Circuit & Hardware: Ability to read and interpret electronic circuit schematics with strong working knowledge of RF components.

• Engineering Tools: Proficient in engineering and data analysis tools, including ADS, JMP, and Python.

Application of Six Sigma principles (Green or Black Belt certification preferred).

• Advanced Tech & AI: Knowledge of machine learning frameworks (TensorFlow, PyTorch, Transformers) or hands-on experience with LLM agent frameworks (LangChain), RAG architecture, Harness engineering, and vectorization techniques for automating data analysis.

Important Information

Never provide your bank or credit card details when applying for jobs. Do not transfer any money or complete unrelated online surveys. If you see something suspicious, Report this Job ad.

Learn More