AI Server Platform Hardware System Lead

Job description

We are seeking a passionate and visionary AI Server Platform Systems Lead to join our team. In this role, you will be at the helm of solution-level engineering for AI enterprise system hardware across compute, storage, and networking. You will lead and inspire a multi-disciplined engineering team and partner with other leaders within Dell’s cross-functional organization, driving excellence and innovation in every aspect of your project, managing high complexity AI products through the entire lifecycle.

Join us to do the best work of your career.

Responsibilities

Lead Architectural Discussions

Engage with internal Dell team members, vendors, and technical partners across global sites to drive architectural excellence in product design.

Portfolio Mindset

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

Manage Development Efforts

Oversee and coordinate development efforts across diverse engineering teams, ensuring seamless collaboration and delivery.

Vendor and Technical Partner Relationships

Build and maintain strong relationships with vendors and technical partners to ensure alignment and success.

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.

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.

Business Acumen

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

Qualifications

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. Expertise in root cause analysis, defect resolution, and test plan architecture. Excellent communication and interpersonal skills for effective collaboration with cross functional teams and external partners.

Strong business acumen to drive strategic initiatives and project success. Strong ability to influence others to achieve results and drive project success.

Educational Requirements

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