Top Tech Jobs & Startup Jobs in Singapore

Supports mechanical product lifecycle activities from new product introduction and transfer through manufacturing sustainment. Responsibilities include component and assembly changes, tolerance stack-ups, CAD documentation, supplier and contract manufacturer collaboration, failure analysis, DOE/SPC, root-cause analysis, engineering change management, validation, quality improvement, and cost reduction. The role manages small workstreams, maintains PLM traceability, supports manufacturing builds, and drives data-based product and process improvements.

Develop and verify automation software for high-volume manufacturing equipment. Collaborate with vendors and cross-functional teams to define requirements, perform FAT/SAT commissioning, and execute IQ/OQ/PQ qualification. Support PLC integration, software testing, and validation to meet regulatory and quality standards.

The System Integration Engineer will integrate hardware, software, and chemistry components for microarray products, design experiments, analyze data, and troubleshoot system issues.

Lead APAC accounting processes including month-end close, reconciliations, US GAAP reporting, and SOX testing. Support revenue recognition, audits, statutory reporting, process improvements, and cross-functional projects for global expansion in the region.

The Sr Software Engineer will design, develop, and enhance automation solutions integrated with the Manufacturing Execution System, ensuring process compliance and quality standards, while collaborating across teams for operational improvements.

Seeking a Staff Software Engineer for developing and maintaining advanced visualization tools for high-throughput data, collaborating with scientists and engineers, and writing well-tested code.

Support product lifecycle from NPI to sustaining for embedded hardware/firmware products: lead embedded system integration, troubleshoot hardware/firmware issues, manage component lifecycles, develop PCBA/PCB designs, coordinate testing and suppliers, apply DOE/FMEA for yield and cost improvements, manage ECOs/CRs, document designs and validations, and mentor junior engineers.

Design, build, and maintain a unified data framework, scalable data pipelines, and data models. Improve data ingestion, quality, monitoring, and governance; troubleshoot pipeline issues; optimize performance; integrate third-party tools; and apply AI techniques to enhance data quality and engineering workflows.