Top AI Jobs in Singapore

Lead and conduct comprehensive physical security evaluations of semiconductor manufacturing sites across APAC. Identify vulnerabilities in perimeter, access control, CCTV, intrusion detection, and guard operations; assess risks to personnel, continuity, and IP; produce detailed reports and remediation plans; partner with site leadership, suppliers, and cross-functional teams to implement mitigations and improve security standards and technologies.

The Principal CSM will develop procurement strategies, drive innovation, manage supplier relations, and collaborate with stakeholders to align category strategies with corporate objectives.

Lead cross-functional teams to define and deliver AI-enabled digital products that improve wafer output, productivity, and operational efficiency across global manufacturing. Translate business needs into requirements, collaborate with data and engineering teams, drive deployment, adoption, and KPI-based value realization.

The Senior Product Owner will lead smart manufacturing solutions and apply AI and machine learning in Micron's processes, requiring semiconductor experience.

Conduct ML research (deep learning, NLP, statistics) on large and unstructured datasets, implement algorithms in production-quality code, back-test models, and document findings to inform trading strategies.

Lead APAC cybersecurity and technology regulatory engagements, assess and manage 1LOD risks and controls, coordinate with global stakeholders, produce governance reporting, and drive improvements and transformation (including AI) to ensure regulatory compliance and risk alignment.

This role involves developing procurement strategies, driving category initiatives, managing supplier relationships, and utilizing advanced analytics to optimize outcomes. Collaboration with stakeholders is essential to deliver effective solutions and strategic sourcing direction.

Lead APAC branch operations governance and multi-year projects to improve controls, efficiency, and risk profile. Partner with stakeholders to design and implement data-driven, regulatory-compliant solutions, drive automation and analytics adoption, and oversee team delivery and ROI tracking while presenting results to senior management.

Lead network tool utilization and capacity optimization across manufacturing sites. Assess capital impact of process changes, run tool-level throughput studies, automate financial and capacity analyses, and communicate recommendations to cross-functional stakeholders.

The DMTS will lead CMP technology development, overcoming complex challenges and mentoring teams while shaping process innovations and strategy.

Lead development and execution of global alignment and standardization programs (TPM/BKM) across fab process areas. Drive tool utilization, ESTA transfers, SEAL system deployment, audits, and closure of area alignment projects. Coach and certify TPM core teams, partner with IT/CPEE, define metrics, and report progress to site leadership to improve speed, quality, cost, and people outcomes.

Design and deploy advanced process control, automation, and analytics solutions for semiconductor manufacturing. Collaborate with process teams to apply statistical analysis and machine learning, maintain global control applications, develop training, and integrate AI-assisted tools to improve yield, quality, and efficiency.

The Incoming Quality Control Engineer ensures high quality for incoming materials, enhances quality processes, develops procedures, and collaborates with stakeholders on quality management.

As a Process Control Engineer, you will enhance manufacturing efficiency by developing advanced control solutions, integrating AI/ML, and collaborating across teams.

Lead the development and production of High Bandwidth Memory products, coordinating across teams for successful implementation and risk mitigation.

Design and implement advanced process control, automation, and analytics solutions for semiconductor manufacturing. Collaborate with process teams, apply statistical analysis and machine learning to improve yields, maintain global control applications, and deliver training while promoting continuous improvement and responsible use of AI tools.

The Senior Business Intelligence Analyst will improve wafer performance through data analysis, machine learning, and global project management in Micron's Smart Manufacturing initiatives.

Senior technical leader driving equipment and hardware innovation, supplier engagement, and multi-year manufacturing capability roadmaps to enable high-volume semiconductor production, AI-enabled automation, and cost/productivity improvements across global front-end sites.

University internship supporting semiconductor manufacturing engineering teams to analyze production data, perform root-cause investigations, and develop data-driven improvements for yield, quality, equipment reliability, and operational efficiency. Interns may use analytics, automation, and AI-enabled tools and will deliver technical reports and a final presentation.

Summer internship applying data science, AI, software engineering, analytics, and automation to manufacturing and business problems. Interns analyze datasets, build dashboards/reports, develop automation or software solutions, and present findings to improve operational efficiency and support digital transformation.

Design, build, and ship end-to-end production AI applications for smart manufacturing: data pipelines, model training/inference, APIs, web/mobile front-ends, on-prem/edge deployment, MLOps, monitoring, Responsible AI, and integration with robotics and MES.

Own and prioritize the product backlog for Industrial & Physical AI: translate stakeholder needs into requirements, run hybrid agile/waterfall delivery, partner with engineering, manage vendors, lead UAT/change management and scale pilots across global fab construction and operations.

This internship involves assisting in machine learning development, AI automation, data engineering, and exploring innovative projects to enhance test efficiency and engineering productivity.

Design, develop, and troubleshoot secure, high-quality production code; improve operational stability via automation; lead technical evaluations and communities of practice; use enterprise AI-assisted development tools responsibly; and apply SDLC, CI/CD, resiliency, and security best practices.

Participate in a two-day Code for Good hackathon and summer software engineering internship: collaborate on agile teams to build end-to-end tech solutions for nonprofits, develop skills via mentorship and training, own project deliverables, and engage with recruiters for potential 2027 early-career opportunities.