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

Company

Qualcomm Middle East Information Technology Company LLC

Location

Riyadh, Saudi Arabia

About the Role

We are seeking a Full‑Stack Machine Learning Engineer to support Qualcomm's AI Inference Suite and rack‑scale data centre deployments. The role involves designing, delivering, and supporting end‑to‑end AI services, agentic workflows, and fine‑tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large‑scale data centre environments.

Key Responsibilities

• 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 (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 centre 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.
• 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.
• 2+ years of academic or work experience with programming languages such as C, C++, Java, Python, etc. (illustrative; equivalent experience acceptable).

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.

Benefits

• Salary including housing and 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.

Equal Opportunity Employer

Qualcomm is an equal‑opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Contact Qualcomm at disability‑View email address on click.appcast.io for accommodations. Qualcomm requires employees to comply with all applicable confidentiality and security policies.