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data center facility engineer (electrical), aws Jobs in Riyadh

facility engineer

senior data engineer

ai engineer

data centre engineer

Qualcomm

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 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>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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.
</div>

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

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 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
 
 
 
 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>
 <li>
 Apply knowledge of software engineering best practices.
 
 
 
 </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>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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.
</div>

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

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 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.
 
 
 
 About The Role
 
 
 
 As a Qualcomm Datacenter AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology.
 
 
 Qualcomm Solution Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications.
 
 
 
 Principal Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI/ML solutions leveraging Qualcomm AI hardware, software, and ecosystem to deliver high-performance, power‑efficient, and scalable inference
 </li>
 <li>
 Develop and deploy GenAI and LLM-based applications, including model integration, fine-tuning, and optimization
 </li>
 <li>
 Apply systems-level knowledge to analyze, design, implement, and validate AI software, models, and system architecture
 </li>
 <li>
 Perform AI model benchmarking, functional analysis, and performance characterization to drive requirements and improvements
 </li>
 <li>
 Support customer engagements by optimizing AI models and workloads for deployment and inference efficiency
 </li>
 <li>
 Contribute to system-level design efforts, including requirements definition, interfaces, performance targets, and implementation
 </li>
 <li>
 Collaborate closely with cross-functional teams to implement, test, and validate AI system features
 </li>
 <li>
 Debug and triage system-level issues, perform root-cause analysis, and communicate findings clearly
 </li>
 <li>
 Stay current with advancements in AI/ML models, tools, and hardware, and apply innovative ideas to products and solutions
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Engineering, Computer Science, Information Systems, or a related field
 </li>
 <li>
 Proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture
 </li>
 <li>
 Hands-on experience building, deploying, and tuning AI/ML systems
 </li>
 <li>
 Strong understanding of GenAI architectures (e.g., transformers, diffusion models, LLMs, embeddings)
 </li>
 <li>
 Experience with large-scale AI system design, including distributed systems, fault tolerance, and event-driven architectures
 </li>
 <li>
 Familiarity with MLOps practices and ML lifecycle management
 </li>
 <li>
 Experience with containerization and automation tools (Docker, Kubernetes, Git/GitOps)
 </li>
 <li>
 Experience with model fine-tuning and/or reinforcement learning is a plus
 </li>
 <li>
 Familiarity with observability, benchmarking, and performance analysis for ML pipelines is a plus
 </li>
 <li>
 Experience working in large, matrixed organizations and collaborating across teams
 </li>
 <li>
 Strong problem-solving skills and customer-focused mindset
 </li>
 <li>
 Experience with open-source development practices
 
 
 
 </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 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.
 
 
 <ul>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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.
</div>

Datacenter AI Solutions Engineer (Customer Engagement) – Riyadh, KSA

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 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
 
 
 
 We are seeking an Inference Accuracy senior engineer to design, develop, and validate model accuracy of deep learning models deployed at scale. The role focuses on deep accuracy analysis, debugging, accuracy evaluation, and recovery during inference on large data-center hardware platforms. This position requires strong problem-solving ability, excellent Python programming skills, and hands-on expertise with inference pipelines.
 
 
 
 Key Responsibilities Include
 
 
 
 <ul>
 <li>
 Define and implement accuracy KPIs across precision modes
 </li>
 <li>
 Develop scalable Python-based accuracy evaluation tools and automated pipelines.
 </li>
 <li>
 Implement accuracy-preserving optimizations for inference frameworks (TensorRT, ONNX Runtime, AITemplate, Triton).
 </li>
 <li>
 Build and maintain automated pipelines for accuracy evaluation across multiple frameworks (ONNX, TensorFlow, PyTorch).
 </li>
 <li>
 Develop reusable plugins for preprocessing, post-processing, and metric evaluation.
 </li>
 <li>
 Execute comprehensive accuracy tests for large-scale models (LLMs, vision, diffusion).
 </li>
 <li>
 Validate accuracy under various quantization and precision settings (FP32, FP16, INT8).
 </li>
 <li>
 Perform accuracy analysis with deep understanding of model architecture, including layers, attention mechanisms, and parameter configurations.
 </li>
 <li>
 Identify architecture-driven accuracy degradation trends and propose optimization strategies.
 </li>
 <li>
 Identify issues related to preprocessing drift, tokenization mismatches, operator fallback, and quantization effects.
 </li>
 <li>
 Analyze accuracy differences across hardware targets, firmware versions, and runtime backends.
 </li>
 <li>
 Perform slice-based accuracy analysis (batch size, concurrency, sequence length, domain shifts).
 </li>
 <li>
 Design and run experiments to recover accuracy, including fine-tuning, calibration, and hyperparameter adjustments.
 </li>
 <li>
 Debug accuracy failures by tracing root causes across data preprocessing, model layers, quantization steps, and deployment pipelines.
 </li>
 <li>
 Compare results across different hardware/software stacks and generate actionable insights.
 </li>
 <li>
 Document workflows, maintain dashboards, and publish accuracy results for stakeholders.
 
 
 
 </li>
 </ul>
 
 Required Skillset
 
 
 
 <ul>
 <li>
 Strong background in AI/ML model evaluation and accuracy metrics.
 </li>
 <li>
 Solid understanding of model architectures (transformers, CNNs, RNNs, MoE) and their impact on accuracy.
 </li>
 <li>
 Experience with large language models (LLMs) and generative AI accuracy validation.
 </li>
 <li>
 Expertise with inference runtimes (TensorRT, ONNX Runtime, Triton).
 </li>
 <li>
 Understanding of quantization (INT8/FP8/INT4), calibration, QAT, and accuracy trade-offs.
 </li>
 <li>
 Experience with model graph conversion (PyTorch &rarr; ONNX &rarr; backend engines).
 </li>
 <li>
 Hands-on experience with accuracy pipeline development and automation frameworks.
 </li>
 <li>
 Proficiency in Python and familiarity with ML toolkits (ONNX Runtime, TensorFlow, PyTorch).
 </li>
 <li>
 Expertise in accuracy analysis, including statistical methods and visualization tools
 </li>
 <li>
 Ability to design experiments for accuracy recovery and debug accuracy failures effectively.
 </li>
 <li>
 Knowledge of quantization techniques and mixed-precision workflows.
 </li>
 <li>
 Strong problem-solving and analytical skills with the ability to isolate complex accuracy issues.
 
 
 
 </li>
 </ul>
 
 Preferred Skillset
 
 
 
 <ul>
 <li>
 Understanding of video generation model accuracy and multi-modal evaluation benchmarking
 </li>
 <li>
 Experience with data-center accelerators (NVIDIA A100/H100/B200, AI100 Ultra, Gaudi, TPU).
 </li>
 <li>
 Knowledge of LLM accuracy evaluation tools (lm-eval, HELM, synthetic benchmarks) is an advantage
 </li>
 <li>
 Familiarity with distributed deployment systems (Kubernetes, cloud inference services).
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's / Masters degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
 </li>
 <li>
 4-10 years of Software Engineering or related work experience.
 </li>
 <li>
 4-10 years of experience with Programming Language such as C,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 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>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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.
</div>

Model Accuracy Development and Test Engineer, Senior (Datacentre AI Engineering) - Riyadh, KSA

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 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.
 
 
 <ul>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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.
</div>

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

TARGET METAL INDUSTRIES

Job Type: Full-time Location: Saudi Arabia / GCCJob OverviewWe are looking for a skilled Design Engineer with experience in Architectural Metal Works to support engineering and design activities from project award through production. The ideal candidate will be responsible for preparing accurate drawings, technical documentation, material submittals, and fabrication packages while ensuring compliance with project specifications and industry standards.Key Responsibilities<ul><li>Review IFC drawings, specifications, BOQs, and contract documents.</li><li>Prepare GA drawings, shop drawings, fabrication drawings, assembly drawings, and installation details.</li><li>Manage drawing revisions, registers, transmittals, and consultant comments.</li><li>Prepare material submittals, method statements, and sample submissions.</li><li>Develop fabrication packages, CNC data, cutting lists, bend schedules, and manufacturing details.</li><li>Coordinate with architectural, structural, and MEP teams using BIM tools.</li><li>Provide technical support to production teams and resolve engineering queries.</li><li>Develop value engineering solutions to improve cost efficiency.</li><li>Ensure compliance with project specifications, fire-rating requirements, and QA/QC standards.</li></ul>Products ExperienceFire-rated doors, steel doors, acoustic doors, stainless steel works, decorative metal works, PVD finishes, copper cladding, corten steel, fa&ccedil;ades, louvers, screens, handrails, balustrades, canopies, access panels, data centre containment systems, and bespoke architectural metal works.Qualifications &amp; Experience<ul><li>Bachelor's Degree in Mechanical Engineering, Civil Engineering, or Architecture.</li><li>3&ndash;8 years of experience in Architectural Metal Works.</li><li>GCC project experience is preferred.</li><li>Autodesk certifications are an advantage.</li></ul>Technical Skills<ul><li>AutoCAD, Revit, Navisworks, Inventor, SolidWorks, Bluebeam Revu</li><li>ERP Systems and Microsoft Office</li><li>Sheet metal fabrication, stainless steel works, and fire-rated door systems</li><li>Knowledge of Saudi Building Code and industry standards</li></ul>Core CompetenciesTechnical expertise, attention to detail, analytical thinking, planning, communication, teamwork, accountability, and continuous improvement.Work Location: In person

Design Engineer – Architectural Metal Works

Carrier

<div>Role: Sales Engineer - BMS (Saudi Nationals)
Location: Riyadh
Contract: Permanent
Why Carrier?
Carrier is the leading worldwide provider of heating, ventilation, and air conditioning (HVAC), refrigeration, fire, security, and cold chain solutions. We invented the modern air conditioning, and our team of pioneers and innovators have a long trajectory of developing new technologies.
We offer an evolving range of industry-leading services and solutions aimed to create healthier homes, buildings, and shipping environments to reduce environmental impact. We recognize diversity and inclusion as the engine to growth and innovation, and continue to lead because we have an exceptional workforce that puts the client at the centre of everything.<h2 class="jobSectionHeader">
Role Responsibilities:</h2><ul><li>
Build and maintain long-term customer relationships and assure customer satisfaction</li><li>
Scanning for current business opportunities in the dedicated territory</li><li>
Technical Support in Sales Process</li><li>
Achieve KPIs</li><li>
Customer approach to drive revenue by professional sales process</li><li>
Understand customer needs and to build trust</li></ul>
Role Purpose:<ul><li>
Identify and develop business opportunities for BMS solutions</li><li>
Promote building automation products and systems to consultants, contractors, and end users</li><li>
Prepare technical and commercial proposals</li><li>
Negotiate and close projects</li><li>
Build long-term relationships with key clients and consultants</li></ul><h2 class="jobSectionHeader">
Minimum Requirements:</h2><ul><li>
Electrical, Electronic, Mechanical Engineering Bachelor&rsquo;s degree</li><li>
2+ years of KSA sales experience in BMS solutions</li><li>
Experience in HVAC industry</li><li>
Fluency in English both verbal and written</li><li>
This role is only for Saudi Nationals</li></ul>
What we offer
We offer excellent development opportunities, an attractive salary and exceptional benefits including the following:<ul><li>
International working environment</li><li>
Competitive salary</li><li>
Drive forward your career through professional development opportunities</li><li>
Achieve your personal goals with our Employee Assistance Programme</li></ul>
Your journey with us
We always aim to provide a fair and valuable recruitment process for everyone. If selected, you will follow the next stages:<ul><li>
Initial call with our sourcing/recruitment team</li><li>
Interview with the Manager</li></ul>
Our commitment to you
As an employer of choice, our greatest assets are the expertise, creativity, and passion of our employees. We strive to provide a great place to work that attracts, develops, and retains the best talent, promotes employee engagement, fosters teamwork, and drives innovation for the benefit of our customers. We aim to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback, and always challenging ourselves to do better.
The values that guide us are respect, integrity, inclusion, innovation, and excellence.
We&rsquo;re excited for you to join us and make a difference.
Apply Now!
Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Job Applicant's Privacy Notice:
Click on this link to read the Job Applicant's Privacy Notice</div>

Sales Engineer - BMS (Saudi Nationals)

Explore 311+ Data centre engineer in Riyadh this July. Find roles across top companies and apply now to boost your career.