Senior Data Center AI SRE Engineer - Large-Scale Inference

Qualcomm

Saudi Arabia

On-site

SAR 250,000 - 350,000

Full time

11 days ago

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Benefits offered by this job

Housing allowance
Transportation allowance
RSUs
Performance bonus
Maternity leave 16 weeks
Paternity leave 6 weeks
Employee stock purchase plan
Education allowance
Relocation support
Life and health insurance
Wellness reimbursement

Job summary

Qualcomm Middle East Information Technology Company LLC is seeking a Senior Data Centre Engineer focusing on AI inference systems in a Riyadh data center. You will design, operate, and continuously improve AI infrastructure, ensuring reliability and scalability for critical ML workloads.

The role requires strong Linux, Python, PyTorch and CI/CD experience, with collaboration across hardware, software and ML teams.

Qualifications

  • AI infrastructure design and operation for large-scale AI workloads.
  • Reliability, availability, and scalability of AI clusters.
  • Collaborate with hardware, software and ML teams.

Responsibilities

  • AI Infrastructure: design, deploy, operate large-scale AI inference systems.
  • AI & ML Engineering: analyze requirements and support AI workloads.
  • SRE: monitor, alert, incident response, performance optimization.
  • Observability: build dashboards and tooling for system health.
  • Automation & CI/CD: develop automation and IaC practices.

Skills

AI & ML workloads
LLM inference
PyTorch
Python scripting
Linux fundamentals
CI/CD pipelines
IaC tooling
Observability
SRE practices
Distributed systems
MLOps
GPU/accelerator compute
Monitoring/Logging

Education

Bachelor's degree in Engineering/CS
Master's degree in Engineering/CS
PhD in Engineering/CS

Tools

Terraform
Ansible
Prometheus
Grafana

Job description

Qualcomm Middle East Information Technology Company LLC is seeking a Senior Data Centre Engineer focusing on AI inference systems in a Riyadh data center. You will design, operate, and continuously improve AI infrastructure, ensuring reliability and scalability for critical ML workloads.

The role requires strong Linux, Python, PyTorch and CI/CD experience, with collaboration across hardware, software and ML teams.

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