Data Center Principal Product and Solutions Architect – Hardware KSA

Company: Qualcomm Middle East Information Technology Company LLC

Job Area: Engineering Group, Engineering Group >
Hardware Engineering

As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next‑generation experiences and drives digital transformation to help create a smarter, connected future for all.

Qualcomm is expanding its AI Data Center and accelerator platforms to deliver scalable, high‑performance systems optimized for AI inference and training workloads. In this role, you will operate as a senior technical authority and customer‑facing architect, leading system‑level design discussions across AI accelerators, rack‑scale platforms, and software enablement, while also shaping product direction and platform roadmaps.

• Lead system‑level architecture and design for AI data center platforms, spanning AI accelerators, host systems, memory, networking, storage, and rack‑scale deployments.
• Act as a trusted technical advisor for strategic customers, driving deep technical discovery, architecture alignment, and solution design across pre‑sales and post‑sales engagements.
• Serve as a senior technical interface to translate customer and workload requirements into clear architecture and engineering specifications.
• Drive hardware–software co‑design, working closely with silicon, platform, and software teams from early architecture through system bring‑up, validation, and launch.
• Define reference architectures for AI inference and training infrastructures, including scale‑up, scale‑out, and rack‑scale configurations.
• Analyze system performance across compute, memory, interconnect, and storage; identify bottlenecks and guide optimization strategies.
• Provide architectural guidance on high‑density AI deployments, including power, thermal, reliability, and serviceability considerations.
• Partner with product management to influence platform and silicon roadmaps, leveraging customer feedback, performance data, and ecosystem insights.
• Support customer pilots, proofs‑of‑concept, and escalations involving complex multi‑component AI systems.
• Represent Qualcomm in deep technical reviews, executive discussions, and architecture workshops with customers and partners.
• Lead technical enablement activities including solution workshops, internal training, and platform evangelism.
• Author and review architecture documentation, reference designs, performance studies, and application notes.
• Stay current on emerging trends in AI infrastructure, accelerator‑based systems, distributed AI, and data center architecture.

• Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, or related field (or equivalent experience).
• 15+ years of experience across AI hardware platforms or accelerators, data center / cloud or high‑performance computing systems, and customer solutions engineering or system architecture roles.
• Strong system‑level understanding of AI accelerators, CPUs, memory hierarchy, and high‑speed interconnects.
• Experience designing or enabling rack‑scale and cluster‑scale AI systems.
• Hands‑on expertise with Linux‑based systems, low‑level software, drivers, and system bring‑up.
• Proven background in performance benchmarking, workload analysis, and system optimization.
• Demonstrated ability to bridge engineering depth with customer and product needs.
• Strong written and verbal communication skills; ability to present complex technical topics clearly to technical and executive audiences.
• Willingness to travel for customer engagements and strategic reviews.

• Experience operating at Senior Staff / Principal / Distinguished technical level.
• Background in customer enablement, solutions architecture, or technical product strategy roles.
• Experience influencing platform or silicon roadmaps through customer‑driven insights.
• Knowledge of AI inference‑optimized, latency‑sensitive, or cost‑optimized systems.
• Familiarity with distributed AI, cloud‑to‑edge architectures, or heterogeneous compute systems.
• Strong cross‑functional leadership skills with a record of mentoring senior engineers.
• Ability to combine deep…