Datacenter AI Solutions Engineer - Riyadh, KSA

Company: Qualcomm Middle East Information Technology Company LLCJob Area: Engineering Group, Engineering Group > Systems EngineeringAbout UsQualcomm 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.About the RoleAs 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.Principal Duties and ResponsibilitiesDesign, develop, and optimize AI/ML solutions leveraging Qualcomm AI hardware, software, and ecosystem to deliver high-performance, power‑efficient, and scalable inferenceDevelop and deploy GenAI and LLM‑based applications, including model integration, fine‑tuning, and optimizationApply systems‑level knowledge to analyze, design, implement, and validate AI software, models, and system architecturePerform AI model benchmarking, functional analysis, and performance characterization to drive requirements and improvementsSupport customer engagements by optimizing AI models and workloads for deployment and inference efficiencyContribute to system‑level design efforts, including requirements definition, interfaces, performance targets, and implementationCollaborate closely with cross‑functional teams to implement, test, and validate AI system featuresDebug and triage system‑level issues, perform root‑cause analysis, and communicate findings clearlyStay current with advancements in AI/ML models, tools, and hardware, and apply innovative ideas to products and solutionsPreferred QualificationsMaster’s or PhD in Engineering, Computer Science, Information Systems, or a related fieldProficiency in Python and experience with ML frameworks, APIs, REST services, and microservice‑based architectureHands‑on experience building, deploying, and tuning AI/ML systemsStrong understanding of GenAI architectures (e.g., transformers, diffusion models, LLMs, embeddings)Experience with large‑scale AI system design, including distributed systems, fault tolerance, and event‑driven architecturesFamiliarity with MLOps practices and ML lifecycle managementExperience with containerization and automation tools (Docker, Kubernetes, Git/GitOps)Experience with model fine‑tuning and/or reinforcement learning is a plusFamiliarity with observability, benchmarking, and performance analysis for ML pipelines is a plusExperience working in large, matrixed organizations and collaborating across teamsStrong problem‑solving skills and customer‑focused mindsetExperience with open‑source development practicesWhat's on OfferSalary including housing & transport allowanceStock (RSU's) and performance related bonus16 weeks fully paid Maternity Leave6 weeks fully paid Paternity LeaveEmployee stock purchase schemeChild Education AllowanceRelocation and immigration support (if needed)Life and Medical InsuranceLive+ Well Reimbursement for health and recreational membership feesMinimum QualificationsBachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.PhD in Engineering, Information Systems, Computer Science, or related field.*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. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑accomodations@qualcomm.com or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, inclu