Data Center Principal Product and Solutions Architect – Software, Riyadh, KSA

About Us

Job Overview

What You’ll Do

• Data Center Platform Software (Provisioning → Orchestration → Operations)
• Architect and guide implementation of cluster and rack-scale platform software, including node provisioning, lifecycle management, telemetry, monitoring, and certification-grade releases.
• Define and support Day-2 operations readiness, including operational models, escalation paths, and serviceability considerations.
• Lead solution architecture for bare-metal and rack management, including secure access, authentication, and identity integration aligned with enterprise requirements.
• Guide platform networking architecture in collaboration with infrastructure teams, including IP planning, segmentation, and integration with storage and external systems.
• Establish best practices for deployment automation, configuration management, and operational repeatability across customer environments.
• AI Inference Suite (Runtime → Serving → Scale-out)
• Define and evolve Inference-as-a-Service architectures, integrating runtime libraries, model serving frameworks, and Kubernetes orchestration.
• Lead architecture for disaggregated and distributed inference to scale workloads across nodes while maintaining predictable latency and throughput.
• Guide design decisions for multi-instance inference, model placement, accelerator utilization, and scheduling behavior in real-world deployments.
• Drive architecture for inference traffic routing and load balancing, including gRPC/HTTP-based serving and health-aware request distribution.
• Lead performance engineering efforts across the software stack, including profiling, benchmarking, and optimization across runtime, serving, networking, and system layers.

• Product, Architecture & Customer Enablement

• Translate customer and workload requirements into platform architecture decisions, feature definitions, and roadmap priorities.
• Lead deep technical discovery engagements with strategic customers, defining proof-of-concepts, success metrics, rollout strategies, and operational readiness checks.
• Act as a senior technical advisor in architecture reviews, workshops, and executive-level discussions with customers and partners.
• Collaborate closely with product management to ensure the software stack evolves in alignment with market needs and deployment realities.
• Create and maintain technical documentation, including architecture diagrams, HLDs/LLDs, deployment guides, sizing guidance, and operational runbooks.

Required Qualifications

• Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or related field (or equivalent practical experience).
• 15+ years of experience delivering production software in one or more of:
• Data center systems software / platform engineering
• AI inference serving platforms
• Large scale distributed or orchestration systems
• Strong expertise in Linux-based systems, including runtime libraries, platform services, and production deployment practices.
• Proven experience with Kubernetes-based orchestration for accelerated and heterogeneous workloads.
• Track record of delivering rack-scale or cluster-scale software platforms with real customer adoption.
• Deep understanding of scale-out inference architectures, distributed systems behavior, and performance trade-offs.
• Strong architecture reasoning, documentation, and cross-functional communication skills.

Preferred Qualifications

• Experience designing or leading disaggregated inference and serving architectures for modern AI workloads.
• Hands-on background integrating inference software stacks with model frameworks and deployment tooling.
• Experience defining operational models, security considerations, and platform readiness for enterprise AI deployments.
• Prior experience influencing platform or software roadmap decisions through customer engagement and field feedback.
• Demonstrated ability to mentor senior engineers and act as a recognized technical authority.

Why Join Qualcomm

What'S On Offer

• Apart from working with great people, we offer the below:
• Salary including housing & transport allowance
• Stock (RSU's) and performance related bonus
• 16 weeks fully paid Maternity Leave
• 6 weeks fully paid Paternity Leave
• Employee stock purchase scheme

• Child Education Allowance

• Relocation and immigration support (if needed)
• Life and Medical Insurance
• Live+ Well Reimbursement for health and recreational membership fees

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.

Or

Or

• PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
• 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
• References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
• Qualcomm is an equal opportunity employer.
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