Senior Staff / Principal Software Architect – System Level Datacenter AI Platforms - Riyadh, KSA

## Company: Qualcomm Middle East Information Technology Company LLC ## Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: About the role Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region. As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond. 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. As a Qualcomm Datacenter AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology. Qualcomm Solution Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications. Preferred Qualifications: * Bachelor's degree in Engineering, Computer Science, Information systems or related field and 12+ years of related work experience. * Master's degree in Engineering, Computer Science, Information systems or related field and 10+ year of related work experience. * PhD in Engineering, Computer Science, or related field and 8 years of experience * Strong proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture * Hands-on experience designing, deploying, and operating AI/ML systems in production * Solid understanding of Generative AI architectures, including transformers, diffusion models, and hybrid systems (LLMs, LVMs, embeddings) * Experience with large-scale AI systems architecture, including microservices, distributed systems, event-driven designs, and fault-tolerant/resilient architectures * Practical experience with AI inference serving, performance optimization, and scalability across heterogeneous hardware * Experience with MLOps practices for AI application development, deployment, monitoring, and lifecycle management * Familiarity with automation and DevOps tooling, including GitOps workflows, containerization (Docker), orchestration platforms (Kubernetes), and ML lifecycle tools * Strong problem-solving skills with a customer- and solution-focused mindset * Experience with cluster schedulers and resource managers (e.g., Slurm, PBS) and workload orchestration is a plus * Experience with observability, monitoring, and debugging tools for ML pipelines and inference services * Proven ability to operate effectively in a large, matrixed organization, influencing across teams * Experience with fine-tuning and optimization of GenAI models, including reinforcement learning techniques, is a plus * Well versed in open-source development practices, collaboration, and code quality standards * Exposure to rack-level orchestration, fleet management, and data center automation is a plus Principal Duties and Responsibilities: * Lead the development of end-to-end AI/ML solutions that integrate Qualcomm AI hardware, system software, and ecosystem components to deliver best-in-class AI inference performance, power efficiency, and scalability * Drive the design, development, deployment, and optimization of Generative AI and LLM-based applications, with a focus on production readiness and inference efficiency * Contribute to and guide the implementation of model fine-tuning,...