Grow your career with us and help shape the future of embedded firmware for next gen enterprise HDD storage products. In this role, you will be working alongside a dynamic, cross-functional team to create innovative firmware solutions. You will also get hands-on experience with industry-standard technologies like SAS, SATA, and PCIe, and be part of Agile teams to bring cutting-edge technology to life.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Design, develop, test, integrate and maintain quality firmware for eHDD using best practices like unit test, CI and Agile methodologies.   
• Design and implementation of data structures, software algorithms, data path, and drivers for hardware cores using latest standards C++ and Python.   
• Participate in Scrum & Agile processes to bring up new hardware and develop embedded firmware for data storage products.   
• Collaborate and design solutions for challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux).   
• Participate in planning and coordinating significant technical investigations from problem statements to conclusions.   
• Creates design documents pertinent to the various phases of firmware development. 

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

Qualifications

REQUIRED:

• Bachelor’s or Master’s degree in Computer Science, Computer/Electronics Engineering or equivalent.  
• Fresh graduates are encouraged to apply.   
• Knowledge in C/C++, object-oriented programming, Python, data structures, algorithms.   
• Capable of quickly learning new firmware, hardware, systems, tools, and methodologies.   

PREFERRED:

• Familiarity with micro-controller architecture (ARM or ARC), embedded systems and RTOS desired.   
• Knowledge in SAS, SATA and PCIE interface.   
• Experience in the use of bus analyzers, emulators and other firmware debugging tools is a plus.   
• Possess data analytics skillset such as machine learning.   
• Working experience in Scrum team or understanding of Agile practices would be an added advantage. 

SKILLS:

• Ability to effectively manage projects and tasks to deliver deadlines and commitments.  
• You have strong problem-solving skills and solution-focused with an adaptive mindset. 
• You have excellent interpersonal skills, including written and verbal communication.   
• You are comfortable and enjoy working in a dynamic and ever-evolving environment.   
• You are a collaborative team member who embraces challenges and values shared successes. 

Additional information

#LI-KT1

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates:

Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com.

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.