Dell AI Server Platform System Lead 

Taiwan, Taipei 

438173293

You will:

• Root Cause Analysis and Defect Resolution: Identify and resolve issues efficiently, ensuring the highest quality standards.

• Test Plan Architecture: Design and implement robust test plans to validate system performance and reliability.

• Portfolio Mindset: You will drive solution and release readiness with a closed-loop focus on best practices across portfolios and business units.

• Business Acumen: Apply strong business insights to drive strategic decisions and optimize project outcomes to meet our customers’ needs.

• Subsystem Integration: Work across subsystems including hardware design for high-speed signal circuit boards, CPU & memory complexes, GPUs and accelerators, network devices and fabrics, enterprise storage arrays, direct liquid cooling solutions, AC-DC and DC-DC power architectures, Dell iDRAC systems management software, BIOS, FPGA, firmware, enterprise operating systems, and data center rack-solution designs.

Essential Requirements

• Strong background in development engineering of compute, storage, and networking architectures, with proven experience in the design of solution-level AI enterprise data center systems.

• Exceptional leadership skills with the ability to manage and inspire multi-disciplined engineering workgroups to achieve outstanding results. Excellent communication and interpersonal skills for effective collaboration with cross-functional teams and external partners. Strong ability to influence others to achieve results and drive project success.

• Expertise in root cause analysis, defect resolution, and test plan architecture.

• Strong business acumen to drive strategic initiatives and project success.

Desirable Requirements

• Educational Requirements: 12 to 15 years of related experience with a bachelor’s degree or 8+ years with a master’s degree.

Why Dell Technologies?

• Innovative Environment: Be part of a team that is pushing the boundaries of AI and enterprise systems.

• Collaborative Culture: Work with talented professionals who are passionate about technology and innovation.

• Career Growth: Opportunities for continuous learning and career advancement.

• Impactful Work: Contribute to projects that have a global impact and drive the future of sustainable AI data centers.