Data Center Principal Product and Solutions Architect Hardware SA📣 Job Ad

About the Role

Qualcomm is seeking a Principal Product and Solutions Architect for its expanding AI Data Center and accelerator platforms. This role is based in Riyadh and is a full-time position. The architect will be a senior technical authority, focusing on AI hardware platforms, data center system architecture, customer solutions engineering, and product strategy to deliver scalable, high-performance systems optimized for AI inference and training workloads.

Key Responsibilities

• Lead system-level architecture and design for AI data center platforms, including AI accelerators, host systems, memory, networking, storage, and rack-scale deployments.
• Serve as a trusted technical advisor to strategic customers, driving deep technical discovery, architecture alignment, and solution design across pre-sales and post-sales engagements.
• Translate customer and workload requirements into clear architecture and engineering specifications.
• Drive hardware–software co-design in collaboration 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, considering power, thermal, reliability, and serviceability.
• Partner with product management to influence platform and silicon roadmaps based on customer feedback, performance data, and ecosystem insights.
• Support customer pilots, proofs-of-concept, and escalations involving complex multi-component AI systems.
• Represent Qualcomm in 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.

Qualifications and Experience

This Principal level role requires a minimum of 15+ years of experience. Candidates should possess a Bachelor's degree in electrical engineering, Computer Engineering, Computer Science, or a related field (or equivalent experience). The experience should span across:

• AI hardware platforms or accelerators
• Data center / cloud or high-performance computing systems
• Customer solutions engineering or system architecture roles

Additional requirements include a 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 are essential. A proven background in performance benchmarking, workload analysis, and system optimization is also required, along with the ability to bridge engineering depth with customer and product needs. Strong written and verbal communication skills are necessary to present complex technical topics to both technical and executive audiences. Willingness to travel for customer engagements and strategic reviews is expected.

Preferred Qualifications

• Experience operating at a 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 technical credibility with business and ecosystem awareness.

Work Context

This role is situated within Qualcomm's AI Data Center and accelerator platforms initiative, aiming to deliver scalable, high-performance systems for AI workloads. The position is located in Riyadh and is a full-time engagement. The role offers the opportunity to work at the intersection of AI silicon, system architecture, and real-world deployment, engaging directly with strategic customers and influencing next-generation AI data center platforms.