Western Digital

Lead the architecture and capability roadmap for MVX and Factory Systems solutions supporting manufacturing from engineering builds through production and sustaining operations. This role connects Product, Process, Manufacturing, NPI, and IT teams while shaping a future AI-enabled Factory Systems platform.

Develop and support HR and payroll business applications, with a focus on Workday configuration, integrations, and software development. This junior role combines coding, testing, system administration, and collaboration with HR stakeholders.

Lead the deployment of physics-informed machine learning systems for precision product development, turning deep learning and scientific ML into production engineering tools. Own the ML platform, model architecture, and technical direction for a team working on inspection, anomaly detection, and experimental optimization.

Own end-to-end machine learning systems for product-development inspection, anomaly detection, surrogate modeling, and active learning. Build models that operate in real product-development workflows and directly influence engineering decisions.

Join a focused AI team building and evaluating machine-learning systems for precision product development at real-world scale. You will contribute to deep-learning models, training-data validation, experiment tracking, and deployment workflows with direct mentorship.

Build ML-ready data infrastructure for experimental scientific and sensor data, including feature pipelines, data quality systems, lineage, versioning, and MLOps data layers. This early-career role offers hands-on experience solving data engineering challenges for AI-driven product development.

Lead the architecture and hands-on development of AI, data analytics, and cloud solutions that improve productivity for Product Development engineering teams. This principal role spans AI agents, data platforms, cloud infrastructure, full-stack interfaces, and production adoption.

Develop and maintain embedded firmware for next-generation enterprise HDD storage products while working with hardware, software, and cross-functional engineering teams. Fresh graduates are encouraged to apply and will gain hands-on experience with storage interfaces and embedded technologies.