➤ About Qualcomm Site Reliability Engineer Datacentre AI Engineering Saudi Arabia
The Qualcomm Site Reliability Engineer Datacentre AI Engineering Saudi Arabia opening is one of the most in-demand AI engineering roles for 2025, offering a career-defining opportunity for skilled technology professionals. Qualcomm, a global leader in intelligent connectivity and 5G-powered innovation, is expanding its datacentre AI operations in Riyadh and is seeking experts who can design, maintain, and optimize advanced AI inference systems.
This role combines cutting-edge SRE fundamentals, large-scale AI infrastructure work, observability engineering, automation, and high-performance ML deployment. As Qualcomm continues shaping technological breakthroughs across mobility, robotics, IoT, and digital transformation, this position provides a platform to work with next-generation AI tools, modern orchestration systems, and performance-driven ML frameworks. Candidates joining this team will contribute to the infrastructure powering agentic AI, LLM workloads, multi-card SoC clusters, and mission-critical machine learning applications—all within a world-class engineering culture.
◆ Table of Contents
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Job Overview
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Job Categories
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Primary Responsibilities by Role
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Why Work at Qualcomm
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Candidate Eligibility Criteria
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How to Apply
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Frequently Asked Questions (FAQs)
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Final Thoughts
✔ Job Overview
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Company/Institute Name: Qualcomm Middle East Information Technology Company LLC
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Vacancy Position: Site Reliability Engineer – Datacentre AI Engineering
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Location: Saudi Arabia
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Interview Date & Time: Apply Immediately
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Employment Type: Full-time Engineering Role
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Required Experience: 4–5 years (or equivalent ability)
This role supports datacentre-scale AI inference workloads, reliability engineering, observability, and large-system optimization for mission-critical machine learning applications.
★ Job Categories
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AI Infrastructure Engineering
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Datacentre AI Engineering
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Site Reliability Engineering (SRE)
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AI & ML Engineering
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DevOps / MLOps
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Observability & Monitoring
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CI/CD & Automation
➤ Primary Responsibilities by Role
AI Infrastructure
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Design and maintain large-scale AI inference systems
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Build tools and ecosystems around AI software stacks
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Ensure scalable, resilient, and high-performance clusters
AI & ML Engineering
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Collaborate with architecture and hardware engineers
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Build agentic AI solutions and LLM orchestration tools
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Enhance LLM performance on AI100 deployments
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Identify features optimizing workloads for multi-SoC clusters
SRE (Site Reliability Engineering)
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Implement incident management and performance optimization
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Establish operational maturity frameworks
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Build sustainable incident response protocols
Observability & Tooling
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Build observability frameworks and define reliability metrics
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Use Prometheus, Grafana, CloudWatch, and custom telemetry
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Maintain documentation & knowledge bases
Automation & CI/CD
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Automate processes reducing operational overhead
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Ensure CI/CD reliability for AI agent deployment
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Implement Terraform CDK and Infrastructure-as-Code
Discover multiple opportunities in one place
◆ Why Work at Qualcomm
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Opportunity to work with world-leading AI innovators
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Access to cutting-edge datacentre and AI acceleration tools
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Competitive salary + housing + transport allowance
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RSUs, performance bonuses & employee stock purchase program
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Comprehensive medical, life, and wellness benefits
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Relocation and immigration support
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Career growth through global mentorship and training
✔ Candidate Eligibility Criteria
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Bachelor’s / Master’s / PhD in Engineering, CS, AI, or related fields
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4–5 years software engineering (or equivalent capability proven)
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Strong Python programming & ML framework experience
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Expertise with PyTorch, TensorFlow, JAX, Ray
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Strong Linux fundamentals and distributed systems experience
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Knowledge of Slurm, high-throughput networking, and RDMA technologies
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Experience with Prometheus, Grafana, ELK, Datadog, or Loki
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Hands-on experience in MLOps, CI/CD, and IaC
★ How to Apply
To apply for this position, candidates should review all responsibilities, ensure their experience aligns with datacentre-scale AI engineering, and prepare a strong résumé focusing on SRE and AI infrastructure achievements. Highlight expertise in LLMs, agentic AI, observability frameworks, and Terraform-based automation.
Review Qualcomm’s inclusive hiring policies and ensure your application highlights advanced ML deployment experience, distributed system operations, and real-world production AI delivery.
Click the link below to start your application today.
👉 Apply Here.
➤ Frequently Asked Questions (FAQs)
1. What is the primary function of this role?
To manage, optimize, and scale Qualcomm’s datacentre AI inference systems.
2. Where is the job based?
Riyadh, Saudi Arabia.
3. Do I need AI/ML experience?
Yes, strong exposure to LLMs, NLP, vision, or agentic AI is essential.
4. Is SRE background required?
Yes, incident management, monitoring, automation, and reliability engineering are core.
5. Does Qualcomm offer relocation?
Yes, full relocation and immigration support is provided.
6. Is Slurm knowledge mandatory?
Experience with Slurm or an equivalent distributed scheduler is highly preferred.
7. What programming languages are essential?
Python is required; experience with PyTorch and ML frameworks is important.
★ Final Thoughts
The Qualcomm Site Reliability Engineer Datacentre AI Engineering Saudi Arabia role is a world-class opportunity for professionals seeking to elevate their career in advanced AI infrastructure. Qualcomm’s datacentre teams lead the future of efficient AI deployment, automation, and high-performance inference, creating an environment where engineering talent can thrive. This role not only demands technical depth but also offers a platform to innovate with next-generation agentic AI systems, distributed compute, and scalable ML frameworks.
Joining this position means stepping into a highly innovative ecosystem where AI Engineering Jobs in Saudi Arabia are rapidly expanding, and Qualcomm Careers Riyadh 2025 are recognized for empowering professionals with global opportunities, advanced tools, and unmatched benefits. For candidates seeking growth, innovation, and long-term career success, this role stands out as one of the most competitive AI engineering openings in the region.