Jobs at Western Digital

Develops global commodity and sourcing strategies, leads supplier selection and negotiations, manages supplier performance and risk, and delivers cost savings. Partners with Engineering, Operations, and R&D on supplier innovation and design-to-cost initiatives. The role requires strategic sourcing, category management, contracting, cost modeling, supplier relationship management, analytics, and cross-functional leadership.

Leads complex HR programs across APAC, including talent, employee experience, workforce transformation, HR technology, compliance, and operational excellence initiatives. Manages end-to-end delivery, regional stakeholder partnerships, global program localization, change management, governance, risk, resources, timelines, and executive reporting. Requires strong cross-cultural communication, project leadership, and familiarity with regional employment practices and regulations.

Own the architecture, deployment, and technical direction of physics-informed machine learning systems for precision product development. Responsibilities include deep learning for inspection and defect detection, anomaly detection, surrogate modeling, active learning, Bayesian experimental design, and full MLOps platform ownership. The role leads design and code reviews, mentors engineers, integrates laboratory and product-development data, and deploys production ML systems using PyTorch, MLflow, Docker, AWS EKS, Kubernetes, and observability tools.

Leads Western Digital’s APAC talent development and inclusion strategy, translating global priorities into culturally relevant leadership, manager, employee development, and inclusion programs. Advises senior HR and business leaders, leads a regional team, manages partnerships and resources, identifies future-ready skills, and measures program impact. The role also oversees learning technology, operational consistency, external funding opportunities, and delivery across Singapore, Malaysia, Thailand, and other APAC markets.

Provides white-glove, highly responsive IT support to C-Suite executives and senior leaders. Responsibilities include troubleshooting Windows and macOS devices, administering Microsoft 365 and device-management platforms, supporting collaboration and conferencing technologies, delivering on-site event and AV support, assisting with data center hardware, documenting executive environments, protecting confidential information, and coordinating escalations. The role requires independent work, executive relationship management, discretion, after-hours availability, and domestic and international travel.

Build and maintain ML-ready pipelines for experimental engineering, sensor, and operational data. Responsibilities include feature engineering, data quality monitoring, dataset versioning and lineage, drift detection, data contracts, governance, sensor streaming ingestion, synthetic data infrastructure, and MLOps data-layer components such as feature stores and training dataset registries. The role requires strong Python, SQL, pipeline design, and foundational understanding of ML data lifecycles.

Manages early career internship and full-time talent programs across APAC. Responsibilities include localizing global strategies, building scalable tools and frameworks, coordinating onboarding and development, managing events and vendors, tracking participant engagement, facilitating workshops, partnering with recruiting and HR stakeholders, and ensuring consistent regional execution. The role is based in Singapore and requires travel across APAC to support program delivery and key events.

Own end-to-end machine learning systems for product development, including deep learning inspection models, real-time anomaly detection, surrogate modeling, active learning, and data-to-model interfaces. Maintain MLOps pipelines, model versions, monitoring, and CI/CD integrations. Evaluate model performance through ablation studies and uncertainty analysis, document production handoffs, review code, and mentor junior teammates.

Contribute to an AI team developing machine learning solutions for precision product development. Responsibilities include tracking experiments with MLflow, evaluating models, validating training data, building CNN-based image classification and defect detection models, packaging models with Docker, supporting CI/CD, and validating inference deployments. The role requires foundational Python and PyTorch skills, ML evaluation experience, and understanding of CNNs, surrogate modeling, and active learning.

Originate scientific machine learning methodology focused on PINNs, physics-constrained neural networks, digital twins, uncertainty quantification, Bayesian experimentation, causal ML, and synthetic data. Develop validated research prototypes, acquisition functions, and physics-constrained generative models for product development. Collaborate with storage domain experts, document methodologies for engineering handoff, support design reviews, and contribute to publications or patent disclosures.