Top Tech Jobs & Startup Jobs in Singapore

Senior process engineer owning regE process characterization and development for 3D NAND. Lead experiments, transfer processes to high-volume manufacturing, improve manufacturability and yield, address wafer-edge issues, implement process control/monitoring, collaborate globally with suppliers and teams, and drive technical projects and innovations.

Lead firmware verification for SSD products: design test plans, develop white/grey-box and automated tests, analyze regressions and root causes, manage test deployment and CI, mentor engineers, and communicate findings across teams to ensure performance and reliability.

The Staff Engineer will lead validation work, collaborate across functions, resolve issues, promote innovation, and improve processes in semiconductor technology.

Own end-to-end performance and power readiness for Data Center SSD programs, perform deep performance analysis and root-cause debug, coordinate cross-functional mitigations, plan test infrastructure, integrate AI-assisted tools, and drive process and continuous improvement to meet program goals.

Analyze historical semiconductor AMHS movement data to identify drivers of cross-fab transfers and evaluate AI-enabled optimization strategies. The intern will assess tool distribution, scheduling, staging, test wafer movements, and empty FOUP transfers; develop modeling or simulation concepts; recommend ways to reduce unnecessary transport; and present findings to stakeholders. The project provides exposure to semiconductor manufacturing, logistics optimization, data analytics, Generative AI, and data-driven decision-making.

Develop a proof-of-concept Agentic AI planning ecosystem for semiconductor fab space, tool placement, capacity, materials, operations, and cost optimization. Analyze planning workflows and data, design multi-agent coordination mechanisms, evaluate scenarios and trade-offs, generate planning recommendations, and document findings. The intern will apply generative AI, LLMs, optimization, data analytics, and manufacturing planning concepts while collaborating with planning stakeholders.

The role involves leading data analytics initiatives to improve yield and quality, developing algorithms, enhancing data infrastructure, and collaborating with cross-functional teams to drive innovation in HBM product engineering.

Lead electrical engineering and maintenance for fab facilities, focusing on high/medium/low voltage systems up to 230kV, protection relays, power quality, commissioning, studies (arc flash), root-cause analysis, capacity planning, contractor management, preventive/corrective maintenance, and adoption of AI/IoT for monitoring and predictive maintenance to improve reliability and efficiency.

Lead advanced data analytics and ML initiatives to improve yield, quality, and reliability for HBM products. Develop ML/DL models, build data infrastructure, integrate solutions into disposition workflows, mentor team members, and collaborate cross-functionally to optimize KPIs including quality, cost, cycle time, and scale.

Lead reliability test flow and qualification for HBM products: develop stress tests, drive DPM reduction, root-cause failures via EFA/PFA, recommend process conversions for HVM, collaborate cross-functionally, and apply AI/ML to reliability datasets while mentoring engineers and prioritizing risk and project decisions.