Top Process Engineer Jobs in Singapore

Coordinates process improvements for NAND Flash manufacturing, focusing on yield, quality, reliability, and output. Designs and analyzes experiments, investigates process and quality issues, interprets complex data, and collaborates with process, equipment, production, industrial engineering, and global teams. Leads cross-functional efforts, supports process alignment across fabs, and uses AI-assisted tools to improve operational efficiency and decision-making.

Develops and optimizes semiconductor fabrication processes and equipment to improve yield, quality, reliability, cost, cycle time, and productivity. Responsibilities include setting process parameters, troubleshooting manufacturing issues, conducting root-cause and failure analyses, qualifying new processes and equipment, managing process improvements, analyzing statistical data, supporting audits, and collaborating with material suppliers. The engineer also uses AI-enabled tools responsibly to improve operational effectiveness.

Leads global semiconductor packaging product yield, quality improvement, process integration, and new product introduction initiatives. Drives PI Loop taskforces, process-flow optimization, business-process standardization, benchmarking, and cross-functional project execution across fabs and engineering teams. Applies semiconductor expertise, AI-enabled engineering tools, advanced analytics, and digital transformation to accelerate problem solving, improve decision-making, and increase productivity. Requires regular collaboration, presentations, and travel to Micron fab locations.

Manage end-to-end reliability stress tests and package qualification (thermal cycling, HAST, CSAM, HTOL, etc.). Maintain process of record, lead equipment qualification, define control plans, analyze performance data, drive continuous improvements, and integrate AI-enabled reporting and automation with lab systems.

The FE Central Quality Process Engineer will lead new product quality risk assessments and deploy quality control systems while supporting improvements in semiconductor manufacturing processes.

Manage product and process changes, validation, and manufacturing improvement projects. Improve equipment performance, productivity, energy and water usage, process capability, and production costs. Support manufacturing and maintenance engineering, investigate process issues and customer complaints, establish preventive maintenance schedules, manage label changes, coordinate with vendors and regulatory stakeholders, and ensure EHS and medical manufacturing compliance.

Design and optimize semiconductor and display manufacturing processes through data collection, experimentation, hardware characterization, film-property measurement, troubleshooting, and root cause analysis. Prepare technical reports and documentation, support new technology implementation, and work with customers, vendors, and suppliers under supervision to resolve process engineering issues.

Designs and optimizes manufacturing processes, improves productivity, yield, quality, capacity, and cost performance, and analyzes production data to resolve operational issues. Leads operational excellence, EHSS risk assessments, HAZOP studies, CAPEX projects, process scale-up, manufacturing transfers, commissioning, and technology implementation. Collaborates with Operations, Quality, Maintenance, Supply Chain, R&D, and external manufacturing partners in a chemical manufacturing environment.

Identifies and resolves semiconductor process and equipment issues; leads equipment qualification, process optimization, yield improvement, cost reduction, and new process validation. Manages supplier quality and audits, supports manufacturing controls, and maintains MES databases. Analyzes process data, identifies improvement opportunities, collaborates cross-functionally, and applies statistical methods, automation, and AI-enabled tools in manufacturing operations.

Analyze semiconductor manufacturing signals, process parameters, and test results using Python, SQL, statistics, visualization, and AI-enabled methods. Identify sources of variability, yield loss, and product rejects; develop analytical models and data-driven recommendations for process stability and quality improvement. Document findings, prepare technical reports and presentations, and collaborate with cross-functional engineering stakeholders during a five-month full-time internship.

Optimize chemical vapor deposition recipes and settings to improve film thickness, uniformity, and stress while increasing throughput and reducing waste. The intern will analyze process limitations, design targeted experiments, apply statistical data analysis, and refine parameters with engineering teams to establish robust, repeatable deposition processes. Familiarity with thin-film deposition, vacuum systems, semiconductor manufacturing, DoE software, and laboratory safety is expected.

The Principal Engineer leads wet process development for NAND memory technology, driving experiments, cross-functional collaboration, and innovation in process solutions.

The Staff Engineer supports advanced NAND technology deployment by optimizing wet processes, managing experiments, and collaborating cross-functionally to enhance yield and quality.

Lead dry etch process development for NAND modules, overseeing complex projects, driving technology roadmaps, and mentoring peers in specialized skills.

Lead technical strategy for NAND thin film processes, develop and integrate advanced film technologies, mentor engineers, and drive technology transitions to manufacturing.

The Senior Engineer develops advanced dry etch processes for 3D NAND technology, optimizing recipes and enhancing yield and quality through cross-functional collaboration and analysis.

Lead development and optimization of wet etch unit processes for advanced NAND, drive experiments and DoE, integrate processes with cross-functional teams, troubleshoot yield/quality issues, evaluate hardware, generate IP, implement process monitoring/control, and collaborate globally including suppliers while incorporating AI-assisted tools.

The Principal Engineer coordinates advanced thin film process development for NAND memory technology, focusing on innovation, technical strategy, and team leadership.

Lead cross-functional semiconductor process integration efforts to improve fab yield and reliability. Design, run, and analyze experiments, collaborate with global fab teams, communicate module issues, and standardize best-known methods to optimize processes and forecast yield and output.

Develop and sustain real-time defect analysis monitoring for advanced packaging and semiconductor manufacturing. The role integrates process, equipment, automation, and manufacturing data to improve tool stability, process control, equipment performance, and NPI readiness. Responsibilities include creating SPC/FDC/RDA rules and diagnostics, supporting tool qualification and ramp activities, analyzing performance metrics, resolving excursions, reducing recovery time, standardizing monitoring practices, and driving continuous improvement across site and global teams.

This role involves leading NAND technology integration, solving technology gaps, designing experiments, and driving technical innovation in memory solutions.

The Process & Equipment Engineer will enhance semiconductor processes, focusing on development, yield improvement, cost reduction, and troubleshooting complex issues.

Responsible for semiconductor process start-up, development, optimization, and equipment parameterization to improve yield, quality, cost, and cycle time. Diagnose and resolve complex process issues using failure analysis, FMEA, 8D, SPC and DOE, run evaluations and qualifications for new equipment/materials, and integrate AI-assisted tools to drive continuous improvement and productivity gains.

The PI Engineer drives process integration for HBM products during NPI, collaborating cross-functionally to ensure readiness and resolve issues while leveraging AI tools for efficiency.

Lead development of advanced dry etch processes for NAND technology, inventing plasma chemistries and equipment capabilities. Use AI/ML, analytics, and automation to accelerate process pathfinding, collaborate with integration and device teams, and drive manufacturability and yield improvements across semiconductor process domains.