HP Spark Management Associate - Process Engineer

Responsibilities

• A. Process Monitoring, Analysis & Improvement
• Work with manufacturing partners to help sustain stable operations and ensure process performance meets quality and throughput requirements.
• Use manufacturing data to identify trends, investigate gaps, and support actions that improve process capability and performance.
• Support monitoring of manufacturing activities, issue tracking, and structured problem-solving with guidance from senior engineers.
• B. NPI / Proto / Qualification Support (Bottle & Printhead)
• Collaborate with R&D and NPI teams to support transitions from development/prototyping to manufacturing and help deliver program-defined quality and cost goals.
• Support qualification strategy for new processes/tools and assist with execution, documentation, and knowledge transfer across sites and partners.
• Participate in project work across product lifecycle stages, including solution design, validation, tooling, and issue resolution.
• C. Reporting & Communication
• Build clear, concise reporting to communicate status, findings, trends, and improvement opportunities to stakeholders.
• Support creation of dashboards/reports to visualize performance trends and insights (where applicable).
• D. Technology Adoption / Operational Excellence
• Contribute to adoption of new technologies in manufacturing processes, including smart manufacturing/Industry 4.0 concepts when relevant.
• E. Working Model / Site Support
• Willingness to work with external manufacturing partners and travel regionally as required to support sustaining and qualification runs (e.g., Singapore/Johor footprint depending on assignment).
• Required Qualifications
• This role is based in Johor.
• Education
• Bachelor's (or Master's) degree in Engineering or equivalent (e.g., Mechanical / Manufacturing / Materials / Chemical / Electrical).

Requirements

• Fresh graduate or up to ~3 years relevant experience (internships, co-op, industrial attachment, university projects valued).
• Technical / Functional
• Basic understanding of manufacturing processes and eagerness to learn in a high-volume / automated environment; hands-on mindset.
• Data-driven mindset: comfortable using process/manufacturing data to support investigations and decisions.
• Familiarity or exposure to structured engineering methods such as FMEA and process capability improvement is an advantage.
• Good written and verbal communication skills to work across functions, suppliers/partners, and global stakeholders.
• Good organizational skills and ability to operate in a matrix environment across cultures/time zones (as applicable to NPI/proto work).
• Job -
• Engineering
• Schedule -
• Full time
• Shift -
• No Shift premium (Malaysia)
• Travel -
• Relocation -
• Equal Opportunity Employer (EEO) -
• Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
• For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "

Additional Information

HP Spark Management Associate - Process Engineer Description - This role supports HP ink cartridge manufacturing by partnering with internal teams and manufacturing partners to ensure processes meet throughput and quality expectations, and by driving data-driven investigations and continuous improvement. The engineer will collaborate with R&D and NPI stakeholders to support smooth transitions from development/prototyping into manufacturing, contribute to process validation/qualification activities, and participate in cross-functional projects across the product lifecycle (solution design, validation, tooling, and issue resolution). This position is suitable for fresh graduates and early-career engineers who are willing to be hands-on in automated manufacturing environments and learn structured engineering methods (e.g., FMEA) to improve process capability and decision making.

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