At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

Job Description

We are seeking a highly motivated and talented Software Development Engineer with background in database management to join our team at Western Digital. In this role, you will play a key role in the development and maintenance of our digital twin platform and database infrastructure. Key responsibilities include:

1. Design and implement efficient data pipelines to enable seamless information flow within the digital twin platform, including simulators and storage systems.
2. Establish database linkages across platforms, optimizing data structures for scalability and performance to manage large data volumes effectively.
3. Develop ETL (Extract, Transform, Load) pipelines to process raw data into analysis-ready formats..
4. Leverage machine learning and data analytics techniques to optimize the design and manufacturing process, develop design recommendation systems, identify anomalies, and support failure analysis.

REQUIRED:

• MS Degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative/engineering field plus >3 years of relevant industrial experience
• Proven experience or coursework in database management, data manipulation, and data science.
• Proficiency in both front-end and back-end software/website development.
• Strong knowledge of statistical modeling and data science methods (e.g., data cleansing, aggregation, visualization).
• Proficient in one or more programming languages such as Python, SQL.
• Strong analytical and quantitative problem-solving ability
• Good communication, relationship skills and a team player

PREFERRED:

• Experience/coursework/research in machine learning and deep learning.
• Experience with frontend framework, such as PyQt6, QtDesigner, React JS, Redux, Axio, HTML, CSS, and JavaScript
• Experience with backend framework, such as FastAPI, Flask, Django
• Interested in semiconductor industry.