Senior Staff / Principal Software Architect System Level Datacenter AI Platforms SA📣 إعلان

About Qualcomm and the Opportunity

Qualcomm is expanding its presence in Riyadh, Saudi Arabia, to bolster its growing infrastructure across the region. This initiative supports Saudi Arabia's digital transformation under Vision 2030, with investments in cutting-edge computing and data center capabilities for AI, cloud, and advanced connectivity. We are seeking a Senior Staff / Principal Software Architect System Level Datacenter AI Platforms to join our full-time team in Riyadh, contributing to a rapidly evolving technology hub and influencing future data center operations.

Role Summary

As a Qualcomm Datacenter AI Solutions Engineer, this role involves researching, developing, optimizing, and validating software, hardware, architecture, algorithms, and machine learning solutions. The work is crucial for enabling the deployment of advanced AI datacenter technology. This position focuses on innovating and developing leading-edge products and solutions centered around Qualcomm's AI inference accelerators for data center and hybrid AI applications, requiring extensive collaboration across functional teams to meet system-level requirements.

Key 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, distillation, and optimization strategies tailored for deployment on target hardware.
• Apply deep systems-level expertise to research, design, develop, simulate, validate, and optimize AI systems spanning hardware, system software, AI frameworks, and models, while ensuring system-level requirements are met.
• Perform AI model benchmarking, workload characterization, and performance analysis to influence system requirements, hardware/software co-design, and product direction.
• Serve as a technical lead for customer engagements, supporting AI model onboarding, inference optimization, deployment, and performance tuning.
• Own and drive system-level architecture and design, including requirements definition, interface specifications, performance targets, and implementation of new systems or enhancements to existing platforms.
• Collaborate across cross-functional teams (hardware, software, tools, frameworks, and product) to deliver features, validate AI system correctness, and ensure high-quality execution.
• Stay current with advancements in AI/ML models, inference techniques, and hardware/software innovations, and proactively translate them into impactful solutions.
• Propose and drive new, innovative ideas that meaningfully improve products, platforms, or developer experience.
• Lead system-level debugging and triage, identify root causes across the stack, and clearly communicate findings, trade-offs, and recommendations to team members and stakeholders.

Required Qualifications and Experience

• Bachelor's, Master's, or PhD degree in Engineering, Computer Science, Information Systems, or a related field.
• 2-5 years of relevant experience.
• Strong proficiency in Python.
• 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.
• Proven ability to operate effectively in a large, matrixed organization, influencing across teams.
• Well versed in open-source development practices, collaboration, and code quality standards.

Preferred Skills

• Experience with cluster schedulers and resource managers (*, Slurm, PBS) and workload orchestration.
• Experience with observability, monitoring, and debugging tools for ML pipelines and inference services.
• Experience with fine-tuning and optimization of GenAI models, including reinforcement learning techniques.
• Exposure to rack-level orchestration, fleet management, and data center automation.

Work Environment

This full-time position is based in Riyadh, Saudi Arabia, offering an opportunity to manage critical environments and contribute to the future of data center operations within the Kingdom and beyond. The role involves working within a collaborative team dedicated to advancing cutting-edge computing and AI capabilities.