Manufacturing Process Engineer - Lean, Automation & NPI

Oracle Corporation; Sha Po Village; Hybrid; HKD 600,000 - 900,000; Full time

Job summary

Oracle in Hong Kong is seeking a process engineering professional to lead manufacturing-process development, qualification, and optimization across new and existing products. You will drive Lean improvements, translate design into producible processes, and partner with cross-functional teams to ensure smooth production ramp and sustained performance.

The role emphasizes data-driven problem solving, rigorous process validation, and collaboration with Design Engineering, Quality, and Supply Chain.

Qualifications

• Bachelor’s degree in Mechanical, Industrial, Manufacturing, or related engineering discipline.
• 5+ years of progressive experience in manufacturing, process, industrial, or operations engineering.
• Demonstrated experience solving manufacturing-process problems and delivering measurable improvements in quality, yield, throughput, cost, or safety.
• Experience supporting new-product introduction, process transfer, or production scale-up is preferred.
• Strong knowledge of manufacturing-process development, process controls, problem-solving methods, and industrial-engineering principles.

Responsibilities

• Develop, document, and qualify manufacturing processes, work instructions, process parameters, fixtures, tooling, and control plans for new and existing products.
• Execute process characterization, validation, and capability studies; define acceptance criteria and document results.
• Support design-for-manufacturability and design-for-assembly reviews by identifying process risks and recommending practical improvements.
• Analyze manufacturing data to identify opportunities to improve yield, throughput, cycle time, labor efficiency, quality, and overall equipment effectiveness.
• Lead structured root-cause analysis and corrective-action activities for process-related defects, downtime, reliability issues, and production bottlenecks.
• Apply Lean, Six Sigma, and other continuous-improvement tools to implement and sustain measurable process improvements.
• Provide timely engineering support to manufacturing operations; troubleshoot process issues and coordinate effective containment and recovery actions.
• Maintain current process documentation, standard work, training materials, and change-control records.
• Monitor assigned process KPIs and communicate performance, risks, and recommended actions to the engineering and operations teams.
• Support new-product introduction, pilot builds, process transfer, and production ramp activities by executing readiness plans and resolving manufacturing issues.
• Collaborate with Design Engineering, Quality, Supply Chain, and manufacturing partners to ensure materials, tooling, equipment, and processes are ready for production.
• Participate in design reviews, build reviews, and post-launch assessments; capture lessons learned for future products and process updates.
• Support evaluation, specification, installation, and qualification of manufacturing equipment, tooling, fixtures, and process technologies.
• Work with internal teams, suppliers, and external manufacturing partners to resolve technical issues and ensure process requirements are met.
• Contribute to automation and digital-manufacturing initiatives by defining process requirements, validating performance, and supporting production handoff.

Skills

Process development

Lean Six Sigma

Process validation

Root-cause analysis

Data analysis

Cross-functional collaboration

Education

Bachelor’s degree in Mechanical, Industrial, Manufacturing, or related engineering

Tools

Automation systems

Data systems

Digital manufacturing tools

Job description

Oracle in Hong Kong is seeking a process engineering professional to lead manufacturing-process development, qualification, and optimization across new and existing products. You will drive Lean improvements, translate design into producible processes, and partner with cross-functional teams to ensure smooth production ramp and sustained performance.

The role emphasizes data-driven problem solving, rigorous process validation, and collaboration with Design Engineering, Quality, and Supply Chain.