Full Stack Machine Learning Engineer; Datacentre AI Engineering KSA

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

Apply for the Full Stack Machine Learning Engineer (Data centre AI Engineering) - Riyadh, KSA role at Qualcomm.

Company:
Qualcomm Middle East Information Technology Company LLC

General

Summary:

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones, smarter vehicles, and smart connected factories. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge.

• 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 Lang Chain 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/Type Script/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/Open Telemetry.
• 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.

• 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 Type Script, 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/Open Telemetry, and Ansible/Terraform.
• Practical experience with LLM runtimes, agent frameworks, and rack‑scale orchestration.

• 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/Open Stack.
• Exposure to scale‑up data centre networking technologies (RoCE/RDMA/NVLink).
• Contributions to inference and GenAI model performance optimization.

• Salary including housing & transport allowance
• Stock (RSU) 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

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑ or call Qualcomm’s toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume…