Datacenter AI Solutions Engineer - Riyadh, KSA

Company

Qualcomm Middle East Information Technology Company LLC

Job Area

Engineering Group, Engineering Group > Systems Engineering

General Summary

About Us

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.

About the Role

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.

Principal Duties and Responsibilities

• Design, develop, and optimize AI/ML solutions leveraging Qualcomm AI hardware, software, and ecosystem to deliver high-performance, power‑efficient, and scalable inference
• Develop and deploy GenAI and 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 drive 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 closely 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 clearly
• Stay current with advancements in AI/ML models, tools, and hardware, and apply innovative ideas to products and solutions

Preferred Qualifications

• Master’s or PhD in Engineering, Computer Science, Information Systems, or a related field
• 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 (e.g., 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 customer‑focused mindset
• Experience with open‑source development practices

What's on Offer

• 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 4+ years of Systems Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

*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.

Equal Opportunity Employer Statement

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‑View email address on click.appcast.io 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, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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If you would like more information about this role, please contact Qualcomm Careers.