data centre engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
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 that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
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.
About the Role
We are seeking a Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This 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 center environments.
You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
Key Responsibilities will include:
<ul><li>API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
</li><li>Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
</li><li>Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
</li><li>LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
</li><li>SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
</li><li>Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
</li><li>Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
</li><li>Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
</li><li>Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
</li><li>Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
</li><li>Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
</li></ul>Minimum Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
</li><li>5+ years of software engineering experience; 3+ years in ML or HPC environments.
</li><li>Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
</li><li>Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
</li><li>Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
</li><li>Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
</li></ul>Preferred Qualifications
<ul><li>Master&rsquo;s degree in Computer Science, Machine Learning, or related field.
</li><li>Experience building inference and fine-tuning pipelines, as well as agentic workflows.
</li><li>Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
</li><li>Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
</li><li>Contributions to inference and GenAI model performance optimization.
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*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.
<div>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).
</div>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 .</div>

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

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; 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 . 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.
<div></div>Key Responsibilities
<ul><li>Design, implement, and own major components of AIMS spanning operator-facing UI, orchestration services, and lifecycle management workflows.
</li><li>Drive technical execution for Day-0 through Day-2 operations including provisioning, configuration, upgrades, expansion, and decommissioning of AI infrastructure.
</li><li>Build reliable, observable, and scalable control-plane services that manage racks, clusters, and fleets of AI systems.
</li><li>Collaborate with UI, platform, firmware, and hardware teams to ensure cohesive system behavior from silicon to software.
</li><li>Participate actively in design reviews, code reviews, debugging, and performance analysis of distributed systems.
</li><li>Act as a technical mentor for senior and staff engineers, raising the overall engineering bar through examples and guidance.
</li></ul><h2 class="jobSectionHeader">UI &amp; Operator Experience
</h2><ul><li>Develop and maintain operator-facing web applications and dashboards using Node.js.
</li><li>Implement UI workflows for monitoring, inventory, telemetry visualization, and lifecycle operations.
</li><li>Ensure UI components are tightly aligned with backend APIs, state models, and real-world operational workflows.
</li></ul><h2 class="jobSectionHeader">Orchestration &amp; Control Plane
</h2><ul><li>Design and implement orchestration services responsible for resource abstraction, scheduling, and workload lifecycle management for AI workloads.
</li><li>Build and operate control-plane services deployed on Kubernetes.
</li><li>Ensure orchestration logic integrates cleanly with underlying rack and node management systems.
</li></ul><h2 class="jobSectionHeader">Lifecycle Management &amp; Automation
</h2><ul><li>Implement lifecycle automation using Terraform and Ansible for provisioning, configuration, and updates.
</li><li>Design safe rollout, upgrade, rollback, and recovery mechanisms suitable for fleet-scale deployments.
</li><li>Develop Python-based automation and services to support lifecycle workflows and operational tooling.
</li></ul><h2 class="jobSectionHeader">Technical Skills &amp; Qualifications
</h2><ul><li>Strong experience with Node.js for backend and UI-driven infrastructure systems.
</li><li>Hands-on experience with Terraform for infrastructure as code and environment management.
</li><li>Proficiency with Ansible for configuration management and automation.
</li><li>Solid knowledge of Kubernetes and Docker for deploying and operating distributed systems.
</li><li>Strong Python skills for orchestration services, tooling, and automation.
</li><li>Experience building or operating large-scale infrastructure or platform software in production environments.
</li><li>Experience with managing large software systems (Python, C++)
</li></ul><h2 class="jobSectionHeader">What Success Looks Like
</h2><ul><li>Core AIMS components are reliable, scalable, and operable in real customer and internal data center deployments.
</li><li>Operators can confidently manage AI infrastructure through intuitive UIs and automated lifecycle workflows.
</li><li>The Principal Engineer is recognized as a go-to technical owner for critical AIMS functionality.
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
</li></ul>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.
 
 
<ul><li>4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*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.
<div>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).
</div>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 .</div>

Principal/Sr Staff Engineer – AI Infrastructure Management (AIMS), UI, Orchestration & Lifecycle Management - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; 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 . 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.
About the Role
Qualcomm is seeking Senior and Staff Software Engineers to contribute to the development and operation of rack management software for AI accelerator products deployed in large-scale data center environments. This role is hands-on and execution-focused, emphasizing high-quality implementation, debugging, testing, and operational support of infrastructure software that runs close to hardware.
You will collaborate closely with lead engineers and architects across multiple sites, participate in design discussions and reviews, and take on design-ownership roles, while focusing primarily on implementing defined designs, investigating complex issues, and ensuring reliable, secure software behaviour in production environments.
In this role, you will work on software responsible for provisioning, monitoring, orchestration, and lifecycle management of rack‑scale AI systems. You will be expected to take strong ownership of the code you deliver &mdash; from implementation and validation through deployment and debugging in real‑world data center conditions.
This position is well‑suited for a senior engineer who thrives in a distributed team model, communicates effectively across sites, and takes pride in deep technical debugging, system understanding, and operational excellence, even when architectural direction is defined elsewhere.
At the Staff level, the engineer is expected to drive implementation of the designs assigned to the local engineering team and provide guidance and mentorship to junior engineers.
Key Responsibilities will include
<ul><li>Implement, test, and maintain software solutions for rack provisioning, monitoring, and workload deployment
</li><li>Interface with rack hardware (BMC, PDU, CDU, PCIe switches) using Redfish, SNMP, and IPMI protocols.
</li><li>Integrate rack management software with orchestration platforms (e.g., Kubernetes, Terraform, Foreman).
</li><li>Collaborate with ODMs, ISVs, and internal teams to define and deliver scalable rack software solutions.
</li><li>Develop dashboards and unified telemetry pipelines using Prometheus and Grafana.
</li><li>Support firmware updates, crash dump parsing, and remote diagnostics across rack components.
</li><li>Ensure secure boot, VLAN separation, and QoS enforcement for multi-tenant environments.
</li><li>Contribute to software EBOM and protocol documentation with Pegatron and other partners.
</li><li>Write high‑quality, secure, and maintainable code following established coding standards and best practices.
</li><li>Participate in design discussions and reviews, providing implementation‑focused feedback on feasibility, performance, reliability, and maintainability.
</li><li>Own debugging and root‑cause analysis of complex issues across development, integration, and production environments, including deployed systems.
</li><li>Collaborate closely with architects, lead engineers, hardware, firmware, and platform teams to ensure correct system behavior and smooth integration.
</li><li>Implement observability features such as logging, metrics, and tracing to support troubleshooting and operational reliability.
</li><li>Contribute towards documentation, runbooks, and operational procedures related to the software you own or support.
</li><li>Participate in code reviews, testing efforts, and continuous improvement of build, test, and deployment pipelines.
</li></ul>Required Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Electrical or Computer engineering, Computer Science, Information Systems, or a related field and 5+ years of software engineering experience
</li><li>Experience in infrastructure software development
</li><li>Proficiency in Python, C++, and shell scripting.
</li><li>Experience with Redfish APIs and DCIM tools.
</li><li>Understanding of server hardware, networking, and storage systems.
</li><li>Strong written and verbal communication skills for working effectively in a multi‑site, globally distributed team.
</li></ul>Preferred Qualifications
<ul><li>Experience with Node.js is a plus.
</li><li>Experience with Rack Management tools.
</li><li>Knowledge of AI workload orchestration tools (e.g., K8s, RKE2).
</li><li>Experience with tools like Prometheus and Grafana.
</li><li>Familiarity with rack-level lifecycle management.
</li><li>Familiarity with Foreman, Ansible, Chef, and Puppet for provisioning and configuration
</li><li>Working knowledge in GoLang is a plus
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*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.
<div>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).
</div>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 .</div>

Software Engineer – Rack Management (Senior and Staff Engineer level) - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
<div>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.
</div>About the Role
We are seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.
We are looking for 8+ years Software Engineering or related work experience
Key Responsibilities will include:
<ul><li>Improve and optimize key Deep Learning models on Qualcomm AI 100
</li><li>Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
</li><li>Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
</li><li>Build software tools and ecosystem around AI SW Stack.
</li><li>Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
</li><li>Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
</li><li>Optimize the entire deep learning pipeline including graph compiler integration
</li>Apply knowledge of software engineering best practices. 
<li>
 
 
</li></ul>Desirable Skills and Aptitudes
Required Skills and Aptitude
<ul><li>Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
</li><li>Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
</li><li>Very strong hold on Pytorch and JIT.
</li><li>Well versed with open-source development practices.
</li><li>Ability to work independently, define requirements and scope, and lead a development effort.
</li><li>Mentors and guides team members through influence and example, without direct people‑management responsibility
</li><li>Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
</li><li>Strong developer with a research mindset &ndash; strives to innovate.
</li></ul>Preferred Skills
<ul><li>Experiences to run workloads on large scale heterogeneous clusters is a plus
</li><li>Knowledge of compiler is a plus.
</li><li>Hands-on experience with CUDA, CUDNN is a plus.
</li></ul>Qualifications
<ul><li>Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
</li><li>8+ years Software Engineering or related work experience.
</li><li>2+ years experience with Programming Language such as C++, Python.
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*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.
<div>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).
</div>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 .</div>

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
<div></div><div>About us
</div><div>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.
</div><div></div><div>About the role
</div><div>The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on. 
 
Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
We are looking for candidates with12+ years Systems Engineering or related work experience 
 
 
Responsibilities will include:
<ul><li>Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
</li><li>Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
</li><li>Analyze and identify system level integration issues, interface with the software development, integration and test teams.
</li><li>Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
</li>Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility 
<li>
</li></ul> 
 
Minimum Qualifications
<ul><li>bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
</li>12+ years Systems Engineering or related work experience. 
<li>
</li></ul> 
 
Required Qualifications
<ul><li>Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
</li><li>Has experience in model level optimization using techniques like torch compile.
</li><li>Expertise in model architecture, backed by literature rationale and intuition
</li><li>Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
</li><li>Expertise in Model training and inference workflows.
</li><li>Hands-on Experience in C/C++, Python development (5+ years)
</li><li>Hands-on Experience with Object Orientated Design, and software development practices in general
</li><li>Experience with Source Code and Configuration management tools, git knowledge is required
</li></ul>Preferred Qualifications and Aptitudes
<ul><li>Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
</li><li>Experience in neural network architectures + ML compiler workload synthesis, a plus
</li><li>Prior working experience of hardware accelerators and hardware software co-design
</li><li>Experience of profiling software and optimization techniques
</li><li>Passion to drive to develop leading-edge &quot;deep learning&quot; framework and algorithms working on mobile and embedded platforms.
</li><li>A research mindset with expertise in software development
</li></ul></div><div>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul></div>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
*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.
<div>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).
</div>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 .</div>

Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems 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.
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 utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
We are hiring LLM Serving Engineers at multiple levels to join our dynamic, collaborative team.
This role spans the full product lifecycle&mdash;from cutting-edge research and development to commercial deployment&mdash;and demands strategic thinking, strong execution, and excellent communication skills.
This role involves the following activities:
<ul><li>Building a scalable LLM inference platform using inference techniques (e.g. disaggregated serving and KV-Cache management, advanced parallelism, speculative algorithms, model optimization, specialized kernels).
</li><li>Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, Triton-Inference server, Dynamo, LLM-d).
</li><li>Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
</li><li>Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
</li><li>Drive efficient serving through smart autoscaling, load balancing and routing.
</li><li>Engage with open-source serving communities to evolve the framework.
</li></ul>You will demonstrate the following:
<ul><li>Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
</li><li>Deep understanding of foundational LLMs, VLMs, SLMs, transformer-based architectures.
</li><li>Strong experience in developing language models using PyTorch.
</li><li>Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming.
</li><li>Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
</li><li>Strong Python development skills for large-scale projects with passion for software engineering.
</li><li>Experience in analyzing, profiling, and optimizing deep learning workloads.
</li><li>Proactive learning about the latest inference optimization techniques.
</li><li>Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
</li><li>MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
</li></ul>Bonus Skills include:
<ul><li>Open-source contribution to any GenAI package.
</li><li>Experience architecting and developing large-scale distributed systems.
</li><li>High-level kernel design experience (PyTorch, CUDA, Triton).
</li><li>Knowledge of torch.compile or torchDynamo
</li><li>PhD in Computer Science, Computer Engineering or Machine Learning
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Computer Science, Electrical or Computer Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
</li></ul>OR
 
Master's degree in Computer Science, Electrical or Computer Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
 
OR
 
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*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.
<div>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).
</div>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 .</div>

LLM Serving Engineer (Cloud AI Engineering) - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems 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.
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 utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
We are hiring an AI Performance Engineers at multiple levels to join our dynamic, collaborative team.
This role spans the full product lifecycle&mdash;from cutting-edge research and development to commercial deployment&mdash;and demands strategic thinking, strong execution, and excellent communication skills.
This role involves the following activities:
<ul><li>Convert, optimize and deploy models for efficient inference using PyTorch, ONNX.
</li><li>Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
</li><li>Performance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints.
</li><li>Mapping the next generation AI workloads on top of current and future hardware designs.
</li><li>Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
</li><li>Analyze complex performance or stability issues to work towards final root cause of underlying problems.
</li><li>Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time.
</li><li>Design and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code.
</li></ul>You will demonstrate the following:
<ul><li>Hands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments.
</li><li>Deep understanding of transformer architectures, attention mechanisms and performance trade-offs.
</li><li>Experience in workload mapping strategies exhibiting sharding or various parallelisms.
</li><li>Strong Python programming skills.
</li><li>Proactive learning about the latest inference optimization techniques.
</li><li>Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
</li><li>Strong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment.
</li><li>MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
</li></ul>Bonus Skills:
<ul><li>Background in neural network operators and mathematical operations, including linear algebra and math libraries.
</li><li>Understanding of machine learning compilers.
</li><li>Experience in converging accuracy and its evaluation methods.
</li><li>Knowledge of torch.compile or torchDynamo.
</li><li>PhD in Computer Science, Computer Engineering or Machine Learning
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*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.
<div>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).
</div>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 .</div>

AI Performance Engineer (Competitive & Network Analysis) - Riyadh, KSA

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