About the company
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Responsibilities
- Understanding system specifications, Firmware and memory requirements
- Understanding on NAND firmware architecture and algorithms
- Coming up with creative scenarios, test design, development, implementation and deployment.
- Making sure firmware meets the quality and performance specifications of the product.
- Leads reviews with all the program members to update or change quality standards when necessary
Requirements
- Bachelor or Master in Computer Science, Computer/Electronics Engineering or equivalent required.
- Minimum 15 years of working experience in relevant field or software quality development.
- Hands on experience in object-oriented programming, Python, data structures, algorithms.
- Capable of quickly learning new firmware, hardware, systems, tools, and methodologies.
- Ability to rapidly learn new technologies, complex code
- Strong aptitude and penchant for problem solving, and complexity analysis.
- Ability to effectively manage projects and tasks to deliver deadlines and commitments.
- Excellent interpersonal skills, including written and verbal communication.
- Comfortable and enjoy working in a dynamic and ever evolving environment.
- Fun and enthusiastic teammate who enjoys challenges and celebrates successes.
- Self-motivated, self-directed and ability to work well with people.
- Proven experience as a software designer and/or software lead.
Desired Skills
- 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.
- Knowledge in data analytics, data visualization, machine learning.
- Working experience as a Scrum Member/Scrum leadership or understanding of Agile practices would be an added advantage