Top Engineering Jobs in Singapore

The Staff Engineer will lead chemical system design for construction projects, provide technical support, and align operational initiatives across regional facilities. Responsibilities include driving operational excellence, improving utility quality, and implementing maintenance programs while collaborating with various teams to achieve sustainability goals.

Lead PAC business processes and projects at Micron, aiming for best-in-class performance, while supporting global teams and driving continuous improvements.

Develop and debug intrinsic and extrinsic reliability test programs for HBM, DRAM, and interface dies (e.g., wafer-level burn-in, pWLRx, ELFR). Perform root-cause analysis, data-driven validation using statistical tools, hardware interface specification and validation, cross-functional collaboration, mentorship, process improvements, and project prioritization to meet quality, cost, and cycle-time KPIs.

Develop advanced packaging technologies, improve product quality, drive yield improvements, and facilitate collaboration for technology integration. Analyze data for quality control and provide comprehensive documentation for production processes.

Leads a team developing and productionizing predictive, machine learning, deep learning, and GenAI solutions for semiconductor manufacturing and HBM product engineering. Responsibilities include yield and reliability modeling, large-scale data pipelines, MLOps, model monitoring and drift control, distributed analytics, deployment, and engineering decision support. The role also requires mentoring engineers, setting technical direction, collaborating cross-functionally, and translating model outputs into improvements in quality, cost, cycle time, and manufacturing efficiency.

Leads functional and design validation for advanced NAND products using silicon and simulation platforms. Develops deterministic tests, random sequence generators, and automation frameworks in C, Python, and Perl. Performs electrical failure analysis, root-cause investigations, and cross-functional issue resolution. Uses Verilog, Synopsys VCS, dashboards, data analytics, and AI/ML techniques to improve validation coverage, test efficiency, defect triage, and debug productivity.

Develops and executes semiconductor product reliability stress tests, qualification plans, and manufacturing test strategies for High Bandwidth Memory products. Investigates reliability failures using electrical and physical failure analysis, drives root-cause resolution, supports process conversions and high-volume manufacturing, and reduces defect rates. The role manages technical risks, collaborates across fab, design, technology, quality, and systems teams, promotes AI-enabled workflow improvements, and mentors team members.

Develop and enable wafer finishing processes in semiconductor manufacturing, focusing on performance, cost, and quality while collaborating across teams for technology development.

The role involves developing advanced data analytics solutions for yield and quality improvement in HBM product engineering, collaborating with cross-functional teams and driving innovation in AI and machine learning.

This role involves developing and executing reliability test flows, managing qualification processes, analyzing device issues, collaborating on process conversions, and promoting innovation in product engineering within cross-functional teams.

This role focuses on developing reliability test plans, managing qualification execution, and collaborating with cross-functional teams to enhance memory products' reliability, performance, and quality.

Drives semiconductor product lifecycle execution, new product introduction, inventory and material health, cost reduction, operational readiness, governance, and continuous improvement. Leads cross-functional initiatives across engineering, manufacturing, planning, supply chain, quality, and business teams. Develops analytics, dashboards, automation, AI-enabled applications, and decision-support tools to improve operational performance, risk detection, execution speed, and business outcomes.

Five-month intern project focused on NAND probe product engineering, test mode integration, Design for Test, silicon validation, and product characterization. The intern will analyze engineering data for yield and failure patterns, develop visualization and automation tools, and explore AI, machine learning, generative AI, and LLM-based solutions for engineering workflows. Deliverables include technical assessments, dashboards, prototypes, reports, and recommendations.

The Engineer will focus on reliability testing and process improvements, collaborating across teams to enhance product quality and performance in semiconductor technology.

Lead the Media Health Manufacturing efforts for Micron's HBM products, focusing on test coverage, product development, yield improvement, and cross-functional collaboration.

Lead data engineering and process-mining initiatives to capture Digital Footprints, generate actionable visualizations and AI-driven optimizations, standardize scalable digital processes across Front-End sites, and track productivity and labor-hour savings via dashboards and cross-functional execution.

Define and develop reliability stress tests and qualification plans for HBM products; drive DPM reduction, root-cause analysis (EFA/PFA), process conversions, risk management, cross-functional collaboration, and apply AI/ML tools to reliability datasets to improve test strategy and production yield.

Lead HBM product reliability test development and execution to reduce DPM, drive intrinsic/extrinsic reliability, debug qual/RMA failures via EFA/PFA, enable process conversions with fab, apply ML/AI to reliability datasets, mentor team, and collaborate cross-functionally to meet quality, cost, and cycle-time KPIs.

Perform setup, qualification, preventive maintenance, calibration, troubleshooting, rebuilding, and upgrades for R&D equipment in engineering laboratories. Maintain equipment records, inventory, and documentation; respond to customer requests; support audits; follow laboratory safety procedures; and collaborate with cross-functional engineering teams. The role also identifies automation opportunities and uses AI tools to improve productivity.

The role involves optimizing test coverage, validating HBM products, yielding improvements, supporting new designs with CAD tools, and collaborating across teams while mentoring others.

Owns semiconductor reliability and product quality for a fabrication site. Responsibilities include defining wafer-level reliability sampling and monitoring, assessing process conversion risks, developing reliability proxies, analyzing NAND intrinsic scorecards and failure modes, partnering with engineering and technology teams on process improvements, and providing corrective and preventive actions for customer quality issues.

Leads supportability engineering across the product lifecycle, partnering with product management, engineering, support delivery, and customer success teams. Establishes supportability standards, governance, and technical ownership while improving support readiness, automation, diagnostics, self-service, operational intelligence, tooling, knowledge, and workflow efficiency. Identifies serviceability gaps and drives solutions that enhance customer experience and accelerate issue resolution.

Develop advanced analytics solutions for High Bandwidth Memory manufacturing. Analyze engineering datasets, build automated data pipelines and monitoring workflows, apply statistical and machine learning methods to detect deviations, investigate process-to-product relationships, and create dashboards that improve yield, quality, reliability, and performance insights. The intern will present findings to engineering stakeholders and gain experience in semiconductor product engineering, manufacturing analytics, and AI-enabled engineering solutions.

The role involves reliability test program coding, root cause analysis, innovation promotion, cross-functional collaboration, data analysis, technical decision-making, project management, and mentorship for product system engineering.

The role involves collaborating with cross-functional teams to develop NAND products, integrating AI solutions, and ensuring timely delivery of technology with strategic partners in various departments.