About this role
Job Req ID: 30450 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.
Essential Duties and Responsibilities
- Architect and design system manufacturing test software solutions using to diagnose assembly system units in the factory powerfully for figuring out defects related to product assembly or design.
- Remain at the forefront of cutting-edge server technologies, ensuring your solutions are innovative and competitive.
- Develop and innovate advanced testing features that improve factory efficiency, test coverage, and user experience.
- Troubleshoot complex issues, providing timely resolutions to consolidate system product reliability and performance before production team ships good products to customers.
- Engage closely with our development team in Taiwan and US, collaborating daily to align on project goals and manufacturing test software solutions.
- Collaborate across different departments as design, PM, validation, and production teams for the success of product quality
Qualifications
- A Bachelor's, Master's degree in Computer Science (CS), Electrical Engineering (EE), Computer Engineering (CE), or related fields from an accredited institution is preferred.
- A minimum of 2 years of hands-on experience as a Software Design Engineer or a related role, demonstrating substantial expertise in software engineering, especially in server management software development and automatic testing.
- Proficiency in Linux programming by shell, python scripts, or Golang language and CursorAI IDE or Grok AI is required.
- Strong communication skills and the ability to work efficiently within a diverse team environment.
- Have experience on familiar Linux operation, tool development, SVN and GitLab usage.
- It is better to have experience about server or AI GPU products.