Datacenter AI Solutions Engineer (Customer Engagement) SA📣 إعلان

About the Role

Qualcomm is expanding its presence in Riyadh, Saudi Arabia, and is seeking a Datacenter AI Solutions Engineer (Customer Engagement) to support its growing infrastructure. This role is part of Qualcomm's investment in world-class computing and data center capabilities to support AI, cloud, and advanced connectivity initiatives, aligning with Saudi Arabia's digital transformation under Vision 2030. This is a full-time position focused on customer engagement within a technology hub.

Role Overview

As a Datacenter AI Solutions Engineer, you will be responsible for researching, developing, optimizing, and validating software, hardware, architecture, algorithms, and machine learning solutions for cutting-edge AI datacenter technology. You will collaborate across functional teams to meet system-level requirements and standards, focusing on innovating and developing leading-edge products and solutions utilizing Qualcomm AI inference accelerators for data center and hybrid AI applications.

Key Responsibilities

• Design, develop, and optimize AI/ML solutions using Qualcomm AI hardware, software, and ecosystem for high-performance, power-efficient inference.
• Develop and deploy Generative AI (GenAI) and Large Language Model (LLM) based applications, including model integration, fine-tuning, and optimization.
• Apply systems-level knowledge to analyze, design, implement, and validate AI software, models, and system architecture.
• Perform AI model benchmarking, functional analysis, and performance characterization to inform requirements and improvements.
• Support customer engagements by optimizing AI models and workloads for deployment and inference efficiency.
• Contribute to system-level design efforts, including requirements definition, interfaces, performance targets, and implementation.
• Collaborate with cross-functional teams to implement, test, and validate AI system features.
• Debug and triage system-level issues, perform root-cause analysis, and communicate findings.
• Stay current with advancements in AI/ML models, tools, and hardware, and apply innovative ideas to products and solutions.

Qualifications and Experience

• Master’s or PhD in Engineering, Computer Science, Information Systems, or a related field is preferred.
• Proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture.
• Hands-on experience building, deploying, and tuning AI/ML systems.
• Strong understanding of GenAI architectures (*, transformers, diffusion models, LLMs, embeddings).
• Experience with large-scale AI system design, including distributed systems, fault tolerance, and event-driven architectures.
• Familiarity with MLOps practices and ML lifecycle management.
• Experience with containerization and automation tools (Docker, Kubernetes, Git/GitOps).
• Experience with model fine-tuning and/or reinforcement learning is a plus.
• Familiarity with observability, benchmarking, and performance analysis for ML pipelines is a plus.
• Experience working in large, matrixed organizations and collaborating across teams.
• Strong problem-solving skills and a customer-focused mindset.
• Experience with open-source development practices.

Compensation and Benefits

Qualcomm offers a comprehensive compensation package, which includes:

• Salary, including housing and transport allowance.
• Stock (RSUs) 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.