Datacenter AI Solutions Engineer (Riyadh)

About the role

Qualcomm is expanding its data centre footprint in Saudi Arabia and seeks a Datacenter AI Solutions Engineer to research, develop, and optimise AI/ML software, hardware and system architectures. You will work on cutting‑edge AI inference accelerators and help deliver high‑performance, power‑efficient solutions for cloud and hybrid AI workloads.

Key responsibilities

• Design, develop and optimise AI/ML solutions that leverage Qualcomm AI hardware and software.
• Build, fine‑tune and deploy Generative AI and large language model (LLM) applications.
• Perform system‑level analysis, benchmarking, functional testing and performance characterisation of AI models.
• Support customers by optimising AI models and workloads for inference efficiency.
• Contribute to system‑level design, including requirements definition, interfaces and performance targets.
• Collaborate with cross‑functional teams to implement, test and validate AI system features.
• Debug, triage and root‑cause system‑level issues, communicating findings clearly.

Required profile

• Master’s or PhD in Engineering, Computer Science, Information Systems or a related discipline.
• Strong hands‑on experience building, deploying and tuning AI/ML systems.
• Deep understanding of Generative AI architectures such as transformers, diffusion models, LLMs and embeddings.
• Experience with large‑scale AI system design, distributed systems, fault tolerance and event‑driven architectures.

Required skills

• Python programming.
• ML frameworks (e.g., TensorFlow, PyTorch) and related APIs.
• REST services and microservice‑based architecture.
• Containerisation (Docker) and automation tools.
• MLOps practices and ML lifecycle management.
• Knowledge of AI inference accelerators and hardware optimisation.