Senior AI Systems Architect – Data Center & Inference

Qualcomm; Riyadh; On-site; SAR 350,000 - 800,000; Full time

Benefits offered by this job

Salary including housing & transport

Stock and bonus

Maternity Leave

Paternity Leave

Employee stock purchase scheme

Relocation and immigration support

Life and Medical Insurance

Wellness reimbursement

Job summary

Qualcomm Middle East Information Technology Company LLC is expanding in Riyadh and seeks Data Centre Engineers to advance AI/ML infrastructure for secure, scalable data center operations. You will research, develop, and optimize software, hardware, and architectures to deploy cutting-edge AI inference at scale, collaborating with cross-functional teams to meet performance and reliability targets.

The role emphasizes production readiness, deployment optimization, and continual learning to stay

Qualifications

• Bachelor's degree in Engineering, Computer Science, Information systems or related field and 12+ years of related work experience.
• Master's degree in Engineering, Computer Science, Information systems or related field and 10+ year of related work experience.
• PhD in Engineering, Computer Science, or related field and 8 years of experience
• Strong proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture
• Hands-on experience designing, deploying, and operating AI/ML systems in production
• Solid understanding of Generative AI architectures, including transformers, diffusion models, and hybrid systems (LLMs, LVMs, embeddings)
• Experience with large-scale AI systems architecture, including microservices, distributed systems, event-driven designs, and fault-tolerant/resilient architectures
• Practical experience with AI inference serving, performance optimization, and scalability across heterogeneous hardware
• Experience with MLOps practices for AI application development, deployment, monitoring, and lifecycle management
• Familiarity with automation and DevOps tooling, including GitOps workflows, containerization (Docker), orchestration platforms (Kubernetes), and ML lifecycle tools
• Strong problem-solving skills with a customer-and solution-focused mindset
• Experience with cluster schedulers and resource managers (e.g., Slurm, PBS) and workload orchestration is a plus
• Experience with observability, monitoring, and debugging tools for ML pipelines and inference services
• Proven ability to operate effectively in a large, matrixed organization, influencing across teams
• Experience with fine-tuning and optimization of GenAI models, including reinforcement learning techniques, is a plus
• Well versed in open-source development practices, collaboration, and code quality standards
• Exposure to rack-level orchestration, fleet management, and data center automation is a plus

Responsibilities

• Lead the development of end-to-end AI/ML solutions that integrate Qualcomm AI hardware, system software, and ecosystem components to deliver best-in-class AI inference performance, power efficiency, and scalability
• Drive the design, development, deployment, and optimization of Generative AI and LLM-based applications, with a focus on production readiness and inference efficiency
• Contribute to and guide the implementation of model fine-tuning, distillation, and optimization strategies tailored for deployment on target hardware
• Apply deep systems-level expertise to research, design, develop, simulate, validate, and optimize AI systems spanning hardware, system software, AI frameworks, and models, while ensuring system-level requirements are met
• Perform AI model benchmarking, workload characterization, and performance analysis to influence system requirements, hardware/software co-design, and product direction
• Serve as a technical lead for customer engagements, supporting AI model onboarding, inference optimization, deployment, and performance tuning
• Own and drive system-level architecture and design, including requirements definition, interface specifications, performance targets, and implementation of new systems or enhancements to existing platforms
• Collaborate across cross-functional teams (hardware, software, tools, frameworks, and product) to deliver features, validate AI system correctness, and ensure high-quality execution
• Stay current with advancements in AI/ML models, inference techniques, and hardware/software innovations, and proactively translate them into impactful solutions
• Propose and drive new, innovative ideas that meaningfully improve products, platforms, or developer experience
• Lead system-level debugging and triage, identify root causes across the stack, and clearly communicate findings, trade-offs, and recommendations to team members and stakeholders

Skills

Python

ML frameworks

APIs

REST services

Microservices

AI/ML systems

DevOps tooling

Docker

Kubernetes

System design

Problem solving

Education

Bachelor's degree in Engineering/CS/IS

Master's degree in Engineering/CS/IS

PhD in Engineering/CS/related field

Tools

Docker

Kubernetes

Job description

Qualcomm Middle East Information Technology Company LLC is expanding in Riyadh and seeks Data Centre Engineers to advance AI/ML infrastructure for secure, scalable data center operations. You will research, develop, and optimize software, hardware, and architectures to deploy cutting-edge AI inference at scale, collaborating with cross-functional teams to meet performance and reliability targets.

The role emphasizes production readiness, deployment optimization, and continual learning to stay