Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

Overview

Qualcomm Middle East Information Technology Company Llc

Engineering Group, Engineering Group > Software Engineering

About Us

**Key Responsibilities Will Include:**

• API Development & Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
• Agentic Workflows & RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
• Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
• LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
• SDK & Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
• Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
• Telemetry & Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
• Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
• Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
• Monitoring & Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
• Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
• ****Minimum Qualifications****
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of software engineering experience; 3+ years in ML or HPC environments.
• Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
• Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
• Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
• Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
• ****Preferred Qualifications****
• Master’s degree in Computer Science, Machine Learning, or related field.
• Experience building inference and fine-tuning pipelines, as well as agentic workflows.
• Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
• Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
• Contributions to inference and GenAI model performance optimization.
• ****What's On Offer****
• Apart from working with great people, we offer the below:
• 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 2+ years of Software Engineering or related work experience.

Or

Or

• PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
• 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.
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