Top Engineering Jobs in Singapore

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

The Senior Manager will develop global TIQ strategy, lead materials cost engineering, manage TIQ programs, and mentor teams to optimize semiconductor manufacturing costs and processes.

Lead cross-functional execution of HBM products from concept through design, new product introduction, and high-volume manufacturing. Build and maintain development schedules, prioritize tactical activities, manage risks and issues, coordinate engineering and manufacturing teams, communicate status to technical and senior leadership, assign task ownership, maintain documentation, and support hardware readiness and capacity planning.

Conduct a five-month engineering project optimizing Chemical Mechanical Planarization processes and characterizing equipment in semiconductor manufacturing. Analyze process, metrology, equipment, and manufacturing data using statistical and AI-assisted methods; assess process capability and qualification results; and develop a dashboard, analytics model, or automation tool. Collaborate with cross-functional stakeholders and deliver technical reports, presentations, engineering recommendations, and documented improvement results focused on stability, yield, cost, productivity, or data accessibility.

Develop an AI-enabled application, analytical model, or automated workflow addressing a semiconductor process or equipment engineering challenge. Analyze manufacturing and engineering data using statistics, machine learning, Generative AI, large language models, visualization, or automation. Test, validate, document, and present the solution, demonstrating potential improvements in yield, quality, cost, productivity, or cycle time.

Moves materials and finished goods throughout plant, office, and warehouse operations using forklifts, conveyors, cranes, hand carts, and power trucks. Provides technical support to high-rise warehousing operations, troubleshoots process issues, completes inventory documentation, and uses computerized inventory systems. Follows SOPs, cGMPs, safety and quality requirements, participates in audits, and supports process improvements that increase efficiency, throughput, and quality.

Develop and execute reliability stress tests, qualification plans, and test flows for HBM products. Drive DPM reduction, perform root-cause analysis using EFA/PFA, recommend process conversions for HVM, manage qualification risks, collaborate cross-functionally, make technical prioritization decisions, and embed AI/ML tools (Python, JMP, Claude) into reliability workflows to improve analytics and automation.

The role involves coordinating improvements in DRAM/NAND process yield, quality, and output by analyzing data, designing experiments, and collaborating with cross-functional teams.

Develop Python automation tools and AI-enabled engineering solutions using Generative AI, LLMs, AI assistants, and agentic workflows. Build reusable integrations and analytics capabilities, evaluate proof-of-concept solutions, document findings, analyze performance, and present recommendations. Collaborate with cross-functional engineering teams in a semiconductor test environment while gaining experience in software development, workflow orchestration, APIs, version control, and RAG.

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 Micron’s HBM Product System Engineering Media Health team in developing, validating, and manufacturing next-generation HBM products. Responsibilities include optimizing test coverage, improving device and stacked-die yields, reducing test time and costs, resolving manufacturing, qualification, and RMA issues, and supporting circuit analysis, CAD, and Verilog validation. The role manages complex technical projects, makes risk and prioritization decisions, collaborates cross-functionally, mentors engineers, and drives AI-enabled automation and innovation. The position is onsite in Singapore with international travel.

Develop an AI-enabled automation solution for low-yield analysis in semiconductor memory testing. The intern will study test operations, manufacturing systems, test methodologies, data flows, and lot-disposition processes; apply programming, analytics, visualization, and AI tools; validate improvements in efficiency, accuracy, and consistency; and document findings through a final report and presentation.

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.

Leads NAND product engineering and cross-functional development from silicon through SSD integration and customer qualification. Translates business requirements into qualification specifications, develops AI-enabled workflows for data analysis and program management, coordinates engineering, fabrication, testing, quality, supply chain, and design teams, and guides resolution of NAND-system issues. Organizes capability reviews, leads product development meetings, and supports on-time delivery of next-generation NAND products.

Supports NAND product development from silicon through system integration. Responsibilities include translating business and SSD requirements into qualification specifications, developing AI-enabled data workflows, coordinating technology, design, fabrication, assembly, test, quality, supply chain, and business teams, and managing product qualification priorities. The role leads reviews, cross-functional meetings, capability assessments, and resolution of NAND-system issues to enable timely customer product qualification.

Leads NAND product engineering and development, translating business and SSD requirements into qualification specifications. Builds AI-enabled workflows for data extraction, analysis, and program management. Coordinates NAND integration with technology, design, fabrication, assembly, testing, quality, supply chain, and business teams. Represents engineering in reviews, leads cross-functional meetings, organizes capability reviews, and resolves complex NAND-system issues to support timely product qualification and customer delivery.

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.

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.

The Senior Manager oversees construction projects in Singapore, leading teams, managing scope, schedule, and costs while coordinating with various stakeholders to ensure project execution and resolution of conflicts.

Lead global analytics engineering initiatives for electronic trading and research. Design, build, and optimize real-time data pipelines, scalable APIs, analytics libraries, and production trading tools. Apply AI to data engineering, analytics, and SDLC automation while ensuring reliability, testing, security, and continuous delivery. Collaborate with trading and research teams, onboard datasets, mentor engineers, manage workstreams, and establish technical standards across distributed teams.

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 global teams for HBM customer integration and system engineering, drive technical interlocks, design reviews, escalations, and integration. Partner with design, product, manufacturing to translate customer requirements into product solutions. Own HBM architecture, packaging, manufacturing, customer enablement, scalable engagement models, governance, and executive communications. Resolve complex technical issues and influence product roadmaps. Develop and deploy AI systems to automate processes and solve technical challenges.

Develop and execute reliability test flows and qualification plans for HBM products; drive DPM reduction, root-cause failure analysis (EFA/PFA), process conversions, risk management, cross-functional collaboration, mentorship, and AI-enabled reliability improvements.

Early-career engineer supporting NAND package and silicon integration. Assist CPI assessments, DFMEA/PFMEA, wafer dicing/singulation investigations, DOEs and test vehicles, yield and manufacturability problem solving, and prepare technical documentation under mentorship.

Lead development and delivery of wafer/cube probe test solutions for HBM devices across NPI to HVM. Drive probe test plans, ATE program development, silicon debug, data-driven yield improvements, probe hardware validation, cost and test-time optimization, and cross-functional alignment. Mentor engineers and standardize probe practices to ensure production readiness and sustained issue closure.