Principal/Sr Staff Engineer – AI Infrastructure Management (AIMS), UI, Orchestration & Lifecycle Management - Riyadh, KSA
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
Company Qualcomm Middle East Information Technology Company LLC Job Area Engineering Group, Engineering Group > Software Engineering General Summary About Us Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
Key Skills for This Role
Full Job Posting
About Us
Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
.
As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale.
This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
Qualcomm is seeking a Principal/Sr Staff Engineer to play a key technical leadership role in the development of the AI Infrastructure Management Suite (AIMS), the software platform used to provision, operate, and manage large-scale AI data center deployments.
This role focuses on hands-on technical ownership across UI, orchestration, and lifecycle management components of AIMS.
The candidate Engineer will design, implement, and evolve critical parts of the system while collaborating closely with product leads, architects, and cross-functional teams to deliver production-grade AI infrastructure software at rack and fleet scale.
Key Responsibilities
- Design, implement, and own major components of AIMS spanning operator-facing UI, orchestration services, and lifecycle management workflows.
- Drive technical execution for Day-0 through Day-2 operations including provisioning, configuration, upgrades, expansion, and decommissioning of AI infrastructure.
- Build reliable, observable, and scalable control-plane services that manage racks, clusters, and fleets of AI systems.
- Collaborate with UI, platform, firmware, and hardware teams to ensure cohesive system behavior from silicon to software.
- Participate actively in design reviews, code reviews, debugging, and performance analysis of distributed systems.
- Act as a technical mentor for senior and staff engineers, raising the overall engineering bar through examples and guidance.
Ui & Operator Experience
- Develop and maintain operator-facing web applications and dashboards using Node.js.
- Implement UI workflows for monitoring, inventory, telemetry visualization, and lifecycle operations.
- Ensure UI components are tightly aligned with backend APIs, state models, and real-world operational workflows.
Orchestration & Control Plane
- Design and implement orchestration services responsible for resource abstraction, scheduling, and workload lifecycle management for AI workloads.
- Build and operate control-plane services deployed on Kubernetes.
- Ensure orchestration logic integrates cleanly with underlying rack and node management systems.
Lifecycle Management & Automation
- Implement lifecycle automation using Terraform and Ansible for provisioning, configuration, and updates.
- Design safe rollout, upgrade, rollback, and recovery mechanisms suitable for fleet-scale deployments.
- Develop Python-based automation and services to support lifecycle workflows and operational tooling.
Technical Skills & Qualifications
- Strong experience with Node.js for backend and UI-driven infrastructure systems.
- Hands-on experience with Terraform for infrastructure as code and environment management.
- Proficiency with Ansible for configuration management and automation.
- Solid knowledge of Kubernetes and Docker for deploying and operating distributed systems.
- Strong Python skills for orchestration services, tooling, and automation.
- Experience building or operating large-scale infrastructure or platform software in production environments.
- Experience with managing large software systems (Python, C++)
What Success Looks Like
- Core AIMS components are reliable, scalable, and operable in real customer and internal data center deployments.
- Operators can confidently manage AI infrastructure through intuitive UIs and automated lifecycle workflows.
- The Principal Engineer is recognized as a go-to technical owner for critical AIMS functionality.
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 8+ years of Software Engineering or related work experience.
Or
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.
Or
- PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
- 4+ years of 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.
- 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-accomodations@qualcomm.com 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 inquiries).
- Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
- To all Staffing and Recruiting Agencies
- : Our Careers Site is only for individuals seeking a job at Qualcomm.
- Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited.
- Qualcomm does not accept unsolicited resumes or applications from agencies.
- Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location.
- Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
- If you would like more information about this role, please contact Qualcomm Careers.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Qualcomm
Data Centre Software Engineer - Rack Management - Riyadh, KSA
Riyadh, KSA
Qualcomm is hiring Senior and Staff Software Engineers in Riyadh to develop rack management software for AI accelerator products in large-scale data centers. The role involves implementing, testing, and maintaining softw
Senior Staff Cyber Security Engineer - Riyadh, KSA
Riyadh, KSA
Qualcomm seeks a Senior Staff Cyber Security Engineer to lead security for large datacenter and sovereign AI deployments in Riyadh. You will design and operationalize infrastructure identity, perimeter security, and data
Senior Staff Cyber Security Engineer - Riyadh, KSA
, KSA
Qualcomm is hiring a Senior Staff Cyber Security Engineer in Riyadh to lead security for large datacenter and sovereign AI deployments. The role involves designing infrastructure identity, perimeter security, and ensurin
Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA
Riyadh, KSA
Qualcomm is hiring a Site Reliability Engineer for Datacentre AI Engineering in Riyadh. You will design, deploy, and operate large-scale AI inference systems, ensuring reliability and scalability. Requires 2-8 years expe
Cloud Machine Learning Engineer - Riyadh, KSA
Riyadh, KSA
Qualcomm is hiring a Cloud Machine Learning Engineer in Riyadh to optimize deep learning models on Qualcomm AI 100, build framework extensions, and collaborate on AI SW stack. Requires 2-8 years of software engineering e
Cloud Machine Learning Engineer - Riyadh, KSA
الرياض, KSA
Qualcomm is hiring a Cloud Machine Learning Engineer in Riyadh to work on AI development in a Linux environment. The role involves optimizing deep learning models on Qualcomm AI 100, building framework extensions, and co
Datacenter AI Solutions Engineer - Riyadh, KSA
الرياض, KSA
Qualcomm is hiring a Datacenter AI Solutions Engineer in Riyadh to research, develop, and optimize AI/ML solutions for data center deployment. The role involves designing GenAI applications, model benchmarking, and custo
Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA
Riyadh, KSA
Qualcomm is hiring a Site Reliability Engineer or Senior Engineer for Datacentre AI Engineering in Riyadh, Saudi Arabia. The role focuses on designing, operating, and improving large-scale AI inference systems, ensuring
Data Centre Software Engineer - Rack Management - Riyadh, KSA
Riyadh, KSA
Senior Staff Cyber Security Engineer - Riyadh, KSA
Riyadh, KSA
Senior Staff Cyber Security Engineer - Riyadh, KSA
, KSA
Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA
Riyadh, KSA
Cloud Machine Learning Engineer - Riyadh, KSA
Riyadh, KSA
Cloud Machine Learning Engineer - Riyadh, KSA
الرياض, KSA
Datacenter AI Solutions Engineer - Riyadh, KSA
الرياض, KSA
Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA
Riyadh, KSA