Datacenter AI Solutions Engineer - Riyadh, KSA
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Key skills for this role
About the Role
Qualcomm is hiring a Datacenter AI Solutions Engineer in Riyadh to research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions for AI datacenter technology.
Key Skills for This Role
Responsibilities
- Design, develop, and optimize AI/ML solutions leveraging Qualcomm AI hardware, software, and ecosystem
- 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
- 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
Requirements
- 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 and 3+ years; or PhD and 2+ years
- 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)
- Strong problem solving skills and customer focused mindset
Full Job Posting
About Us
- Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support 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.
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.
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.
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