Company

Qualcomm Middle East Information Technology Company LLC

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

About us

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Job Overview

Qualcomm is building a comprehensive Data Center Software Stack and AI Inference Suite to enable customers to deploy, operate, and scale AI inference at rack-scale and cluster-scale. We are seeking a Principal Product & Solutions Architect with deep expertise in systems software, inference platforms, orchestration, runtime integration, and large-scale distributed systems.

In this role, you will operate at the intersection of platform engineering, AI inference serving, Kubernetes orchestration, rack-scale operations, and customer enablement. You will lead architecture and design decisions resulting in production-grade, deployable software stacks, while also shaping roadmap direction based on real customer deployments and workload requirements.

This role requires 15+ years of experience and a proven ability to influence engineering, product, and customer organizations.

What You’ll Do

• Data Center Platform Software (Provisioning → Orchestration → Operations)
• Architect and guide implementation of cluster and rack-scale platform software, including node provisioning, lifecycle management, telemetry, monitoring, and certification-grade releases.
• Define and support Day-2 operations readiness, including operational models, escalation paths, and serviceability considerations.
• Lead solution architecture for bare-metal and rack management, including secure access, authentication, and identity integration aligned with enterprise requirements.
• Guide platform networking architecture in collaboration with infrastructure teams, including IP planning, segmentation, and integration with storage and external systems.
• Establish best practices for deployment automation, configuration management, and operational repeatability across customer environments.
• AI Inference Suite (Runtime → Serving → Scale-out)
• Define and evolve Inference-as-a-Service architectures, integrating runtime libraries, model serving frameworks, and Kubernetes orchestration.
• Lead architecture for disaggregated and distributed inference to scale workloads across nodes while maintaining predictable latency and throughput.
• Guide design decisions for multi-instance inference, model placement, accelerator utilization, and scheduling behavior in real-world deployments.
• Drive architecture for inference traffic routing and load balancing, including gRPC/HTTP-based serving and health-aware request distribution.
• Lead performance engineering efforts across the software stack, including profiling, benchmarking, and optimization across runtime, serving, networking, and system layers.
• Product, Architecture & Customer Enablement
• Translate customer and workload requirements into platform architecture decisions, feature definitions, and roadmap priorities.
• Lead deep technical discovery engagements with strategic customers, defining proof-of-concepts, success metrics, rollout strategies, and operational readiness checks.
• Act as a senior technical advisor in architecture reviews, workshops, and executive-level discussions with customers and partners.
• Collaborate closely with product management to ensure the software stack evolves in alignment with market needs and deployment realities.
• Create and maintain technical documentation, including architecture diagrams, HLDs/LLDs, deployment guides, sizing guidance, and operational runbooks.
  
  
  

Required Qualifications

• Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or related field (or equivalent practical experience).
• 15+ years of experience delivering production software in one or more of:
• Data center systems software / platform engineering
• AI inference serving platforms
• Large scale distributed or orchestration systems
• Strong expertise in Linux-based systems, including runtime libraries, platform services, and production deployment practices.
• Proven experience with Kubernetes-based orchestration for accelerated and heterogeneous workloads.
• Track record of delivering rack-scale or cluster-scale software platforms with real customer adoption.
• Deep understanding of scale-out inference architectures, distributed systems behavior, and performance trade-offs.
• Strong architecture reasoning, documentation, and cross-functional communication skills.
  
  
  

Preferred Qualifications

• Experience designing or leading disaggregated inference and serving architectures for modern AI workloads.
• Hands-on background integrating inference software stacks with model frameworks and deployment tooling.
• Experience defining operational models, security considerations, and platform readiness for enterprise AI deployments.
• Prior experience influencing platform or software roadmap decisions through customer engagement and field feedback.
• Demonstrated ability to mentor senior engineers and act as a recognized technical authority.
  
  
  

Why Join Qualcomm

At Qualcomm, you will help define and deliver a production-grade data center software stack and AI inference platform used by customers at scale. You will work across platform engineering, orchestration, inference runtime and serving, and customer enablement—shaping architectures that balance performance, operability, security, and scalability. This role offers a unique opportunity to influence end-to-end AI software platforms, from low-level systems to customer-facing solutions, while working with world-class engineering and product teams.

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.