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Нет информации о зарплатеСильная компанияЧеткая рольПередовые технологии
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior / Staff NPI Product Engineer (RF): Bringing new electronic and RF products from design into high-volume manufacturing with an accent on RF test strategy, product characterization, and manufacturing risk assessment. Focus on analyzing test data, troubleshooting production bottlenecks, improving yield and manufacturability, and applying statistical, Six Sigma, and machine learning techniques.
Location: Penang, Malaysia
Company
hirify.global develops electronic and RF products that are brought from design into high-volume manufacturing.
What you will do
Lead new products from R&D through product bring-up and mass production.
Work with cross-functional teams to improve product yield, reduce manufacturing costs, and support customer satisfaction.
Develop electrical and RF test strategies for validating and characterizing new products before manufacturing release.
Partner with R&D during design to identify manufacturing risks and define assessments such as PFMEA.
Analyze test data with statistical tools and Six Sigma methods to troubleshoot bottlenecks and optimize reliability.
Connect product design, test data, and manufacturing processes to improve product performance and manufacturability.
Requirements
Bachelor’s, Master’s, or Doctoral degree in Electronics Engineering or a related discipline.
4–8 years of industry experience, with a strong background in RF Test Development, Product Characterization, or Product Engineering highly desired.
Ability to read and interpret electronic circuit schematics and strong working knowledge of RF components.
Proficiency with engineering and data analysis tools including ADS, JMP, and Python.
Demonstrated expertise in statistical analysis and data science.
Self-motivated, results-oriented, and able to manage multiple priorities in a fast-paced, high-tech environment.
Strong interpersonal and communication skills, including the ability to explain complex test and engineering data to cross-functional teams and external stakeholders.
Excellent command of written and spoken English.
Nice to have
Six Sigma Green Belt or Black Belt certification.
Knowledge of machine learning frameworks such as TensorFlow, PyTorch, and Transformers.
Hands-on experience with LLM agent frameworks such as LangChain, RAG architecture, Harness engineering, or vectorization techniques for automating data analysis.
Culture & Benefits
Fast-paced, high-tech working environment.
Equal opportunity employment regardless of legally protected characteristics.
Applicants located outside the USA should provide a home address for future correspondence.
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