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technical support specialist

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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 Test Engineering
General Summary:
About the Role
The role focuses on the configuration, operation, and continuous improvement of large‑scale AI inference systems in a datacenter environment. The engineer will support critical AI use cases by ensuring Qualcomm&rsquo;s AI infrastructure is reliable, scalable, and production‑ready for advanced machine‑learning workloads.
The role requires strong systems and software engineering fundamentals, hands‑on execution, and the ability to work independently on complex problem areas while collaborating closely with cross‑functional teams across hardware, software, and machine learning.
Ideal candidate will have 8+ years of experience in SRE
Key Responsibilities will include
1. AI Infrastructure
<ul><li>Define and apply best-practice configurations, deploy, and operate large-scale AI inference systems supporting critical AI workloads.
</li><li>Ensure reliability, availability, and scalability of Qualcomm datacenter AI clusters.
</li><li>Develop and maintain software tools and support infrastructure around AI software stacks.
</li></ul>2. AI &amp; ML Engineering
<ul><li>Analyze software requirements and collaborate with architecture and hardware engineers to support AI workloads.
</li><li>Build, deploy, and operate components supporting LLM inference, agentic AI workflows, and AI services.
</li><li>Work with models, systems, and software teams to improve model performance on AI100 deployments.
</li><li>Identify and implement optimizations for workloads running on multi‑SoC and multi‑card systems.
</li></ul>3. Site Reliability Engineering (SRE)
<ul><li>Apply SRE fundamentals including monitoring, alerting, incident response, and performance optimization.
</li><li>Support production ML systems using MLOps tools and operational best practices.
</li><li>Contribute to incident reviews, operational documentation, and continuous reliability improvements.
</li></ul>4. Observability &amp; Tooling
<ul><li>Define and implement optimal configuration strategies for large-scale AI inference systems, including deployment, operation, and support of critical AI workloads and maintain observability tools, dashboards, and alerts to monitor system health and reliability.
</li><li>Monitor infrastructure and services using tools such as Prometheus, Grafana, CloudWatch, and custom telemetry.
</li><li>Create and maintain technical documentation, runbooks, and knowledge‑base articles.
</li></ul>5. Automation &amp; CI/CD
<ul><li>Develop automation to reduce manual operational tasks and improve system reliability.
</li><li>Support CI/CD pipelines for AI service and agent deployment.
</li><li>Apply Infrastructure‑as‑Code practices using tools such as Terraform and Ansible.
</li></ul>Required Skillset
1. AI &amp; Deep Learning
<ul><li>Experience working with AI/ML workloads such as LLMs, NLP, Vision, Audio, or Recommendation systems.
</li><li>Understand ML inference concepts including batching, token streaming, and performance considerations.
</li><li>Hands‑on experience with PyTorch and familiarity with modern ML frameworks.
</li><li>Familiarity with distributed inference, checkpointing, and accelerator‑based compute environments.
</li></ul>2. AI Operations
<ul><li>Experience supporting AI or ML applications in production environments.
</li><li>Familiarity with LLM inference pipelines and AI service operations.
</li></ul>3. Programming, Software Configuration &amp; Configuration Strategy
<ul><li>Strong programming skills in Python with experience building and supporting production systems.
</li><li>Experience with scripting and automation using Python and Bash.
</li><li>Familiarity with configuration management, orchestration tools, and best-practice configuration strategies for production AI systems.
</li></ul>4. Systems &amp; Infrastructure
<ul><li>Strong Linux fundamentals include shell, containers, system services, and networking basics (DNS, TLS, HTTP/gRPC).
</li><li>Experience working with cluster schedulers such as Slurm or equivalent systems.
</li><li>Experience operating distributed systems with high availability and fault tolerance.
</li></ul>5. Observability &amp; Monitoring
<ul><li>Hands‑on experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Loki.
</li><li>Understanding of incident management, service health metrics, and system reliability monitoring.
</li></ul>6. DevOps &amp; SRE Practices
<ul><li>Solid understanding of SDLC, release processes, and operational reliability practices.
</li><li>Familiarity with CI/CD pipelines and Infrastructure‑as‑Code tools.
</li></ul>Preferred Skillset
<ul><li>Experience with GenAI, Agentic AI systems, or LLM orchestration frameworks.
</li><li>Exposure to LangChain, AutoGen, or RAG‑based systems.
</li><li>Experience with additional ML frameworks such as TensorFlow, JAX, or Ray.
</li><li>Knowledge of GPU/accelerator‑based systems and high‑performance networking (RDMA, InfiniBand, RoCE).
</li><li>Experience with advanced MLOps workflows or large‑scale AI platform operations.
</li></ul>Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in engineering, Computer Science, AI/ML, or a related field.
</li></ul><ul><li>12+ years of software, systems, or infrastructure engineering experience, preferably in production or datacenter environments
</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 Software Test Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Test Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Test Engineering or related work experience.
 
 
<ul><li>2+ year of work experience with Software Test or System Test, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).
</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>

Staff/Senior Staff Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

MASTER-WORKS

<div>Master Works is looking for an Agentic AI, Engineer to join our growing team and design, build, and deploy agentic AI systems that can plan, reason, and act. The role covers both single-agent and multi-agent systems, as well as orchestration of workflows involving retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This role is ideal for a strong software engineer with hands-on AI/ML development experience and a passion for transforming generative AI models into reliable, goal-driven systems capable of solving complex, real-world business problems.
Key Responsibilities:<ul><li>
Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs using established agentic frameworks or custom-built orchestrators.</li><li>
Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines that ground agent decisions in reliable, real-world data and enable persistent, contextual, and adaptive behavior.</li><li>
Design single-agent and multi-agent workflows, including planning, delegation, tool selection, handoffs, inter-agent communication, and human-in-the-loop controls.</li><li>
Optimize orchestration and reasoning performance while balancing autonomy, latency, cost, interpretability, reliability, and maintainability.</li><li>
Collaborate with Generative AI engineers, application engineers, MLOps engineers, and product teams to move agentic AI solutions from prototype to production.</li><li>
Monitor, evaluate, and benchmark agent performance, and help ensure AI systems are safe, accurate, trustworthy, observable, and capable of delivering a high-quality user experience.</li><li>
Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic to ensure clarity and reproducibility.</li><li>
Stay current with advances in agentic AI, multi-agent orchestration, RAG, model-context protocols, cognitive architectures, evaluation methods, and AI safety mechanisms.</li><li>
Collaborate with cross-functional teams to design and deliver complete AI solutions for customers.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.</li><li>
2+ years of hands-on experience developing agentic AI systems, LLM-powered applications, or advanced Generative AI solutions.</li><li>
Preferably 5+ years of overall professional software engineering experience</li><li>
Contributions to open-source agentic AI frameworks, orchestration platforms, evaluation tooling, or agent communication protocols.</li><li>
Experience building microservices and deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>
Experience with AI safety, guardrails, observability, traceability, evaluation, and explainability for agentic AI systems.</li><li>
Experience deploying LLM or agentic workloads in production using containers, Kubernetes, CI/CD pipelines, and modern MLOps or LLMOps practices.</li></ul>
Job Location: HQ</div>

Agentic AI, Engineer

<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
 
 
 
 
 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>
 <li>
 Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
 </li>
 <li>
 12+ years Systems Engineering or related work experience.
 
 
 
 </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 "deep learning" framework and algorithms working on mobile and embedded platforms.
 </li>
 <li>
 A research mindset with expertise in software development
 
 
 
 </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>

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

Saudi Azm عزم السعودية

<div>
 
 Job Description
 
 
 
 
 AI systems
 
 
 
 <ul>
 <li>
 Build, fine-tune, and evaluate LLM systems for domain-specific tasks (QLoRA / PEFT on open-weight models such as Llama-3 and Mistral).
 </li>
 <li>
 Design reproducible evaluation harnesses and A/B test frameworks with tracked metrics: task success rate, safety rate, and latency distributions (p50/p95).
 </li>
 <li>
 Architect multi-agent and RAG systems (LangGraph, FastAPI, vector databases) from prototype through production.
 </li>
 <li>
 Implement safety guardrails &mdash; input/output validation, allowlist/denylist policies, and controls that reduce invalid or high-risk model actions.
 </li>
 <li>
 Translate business use cases into deployable prototypes with measurable acceptance criteria, and demo them to stakeholders.
 
 
 </li>
 </ul>
 
 Platform &amp; infrastructure
 
 
 
 <ul>
 <li>
 Design and operate cloud infrastructure and MLOps workspaces (Azure, OCI, or GCP) for AI workloads on Kubernetes and containerized runtimes.
 </li>
 <li>
 Build CI/CD pipelines and GitOps-based release promotion (Argo CD) across development, test, and production environments.
 </li>
 <li>
 Implement end-to-end observability (Azure Monitor, Application Insights, ELK) with defined detection and response targets.
 </li>
 <li>
 Apply network and perimeter security baselines (FW/WAF), automated code quality and SCA scanning (SonarQube, Black Duck), and gated pipelines.
 </li>
 <li>
 Own disaster recovery design &mdash; automated backups, failover, and documented RTO/RPO commitments.
 
 
 </li>
 </ul>
 
 Engineering leadership
 
 
 
 <ul>
 <li>
 Lead and mentor a cloud/AI operations team; define monitoring, incident response, and release governance practices with clear uptime and MTTR targets.
 </li>
 <li>
 Standardize SDLC practices &mdash; branching strategy, PR governance, release management, delivery reporting &mdash; to improve lead time and deployment frequency.
 </li>
 <li>
 Consolidate engineering tooling and workflows; drive migrations and platform standardization where fragmentation slows delivery.
 </li>
 <li>
 Produce handover documentation and runbooks that make systems auditable and operationally transferable.
 </li>
 <li>
 Support vendor and licensing negotiations for cloud enterprise agreements.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Software Engineering, Computer Science, or a related field.
 </li>
 <li>
 6&ndash;8+ years in software, DevOps, or platform engineering, including at least 2 years in an applied AI or ML engineering capacity.
 </li>
 <li>
 Proven delivery of production AI/LLM systems &mdash; not only research or notebook-stage work.
 </li>
 <li>
 Strong Python; comfortable with Bash and YAML.
 </li>
 <li>
 Deep hands-on experience with Kubernetes, Docker/Podman, and Terraform.
 </li>
 <li>
 Production experience with at least one major cloud (Azure preferred; OCI or GCP acceptable).
 </li>
 <li>
 Demonstrated ownership of CI/CD at scale (Azure DevOps, GitHub Actions) and GitOps release models.
 </li>
 <li>
 Experience leading a team and setting engineering standards across multiple squads.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in Applied AI, Machine Learning, or a related discipline.
 </li>
 <li>
 Fine-tuning experience with QLoRA/LoRA on GPU clusters; PyTorch and Transformers.
 </li>
 <li>
 Vector database experience (Milvus, Pinecone, or Weaviate) and RAG retrieval design.
 </li>
 <li>
 Experience delivering on Saudi government or large-scale national digital platforms, with familiarity in local compliance and standards.
 </li>
 <li>
 Arabic and English professional proficiency.
 
 
 </li>
 </ul>
 
 Technical Environment
 
 
 
 Python, FastAPI, PyTorch, Transformers, LangGraph, Milvus/Pinecone/Weaviate, Redis, PostgreSQL, Kubernetes, Docker/Podman, Terraform, Argo CD, Azure DevOps, GitHub Actions, Azure ML, Azure Monitor / Application Insights, ELK, SonarQube, Black Duck, Fortinet FW/WAF.
</div>

AI Engineer

<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
 
 
 
 
 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.
 
 
 <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>

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

Confidential

Qualifications: * Bachelor's degree in electrical engineering or mechanical engineering.* Minimum2- 5 years of experience in Facilities Management, Operation &amp; Maintenance, or Building Projects.* Proven experience in the handover of facilities/buildings from contractors and consultants.* Hands-on experience in Testing &amp; Commissioning (T&amp;C) and witnessing commissioning activities.* Strong knowledge of MEP systems (Electrical, HVAC, Plumbing, Fire Protection, ELV, and BMS).* Experience in reviewing As-Built Drawings, O&amp;M Manuals, Warranties, Asset Registers, and Handover Documentation.* Familiarity with international standards and best practices related to building commissioning and facilities management.* Good communication skills . Key Responsibilities: * Lead the technical handover of university facilities from contractors and consultants.* Attend, witness, and verify all Testing &amp; Commissioning (T&amp;C) activities for building systems.* Review and verify all handover documents, including As-Built Drawings, O&amp;M Manuals, Warranties, Test Reports, and Asset Registers.* Ensure all MEP systems are fully operational and compliant with project specifications before acceptance.* Coordinate with contractors, consultants, and internal stakeholders to close all punch list items and outstanding defects.* Support the transition of buildings from construction to operation and maintenance.* Conduct technical inspections and recommend acceptance or rejection based on project requirements.* Prepare handover status reports and monitor progress until final acceptance.* Support the FM in establishing preventive maintenance requirements and asset data before operational handover.

Facilities Management Engineer (FM Engineer)

<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 looking for strong technical and analytical skills in C++/Python‑based AI development in a Linux environment. Ability to work effectively as part of a team, take ownership of assigned tasks or features, and independently drive implementation within a defined technical scope.
 
 
 
 We are looking for 2-8 years Software Engineering or related work experience
 
 
 
 
 Key Responsibilities Will Include
 
 
 
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 Improve and optimize key Deep Learning models on Qualcomm AI 100
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 Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
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 Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
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 Build software tools and ecosystem around AI SW Stack.
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 Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
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 Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
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 Optimize the entire deep learning pipeline including graph compiler integration
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 Apply knowledge of software engineering best practices.
 
 
 
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 Required Skills And Aptitude
 
 
 
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 Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
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 Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
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 Strong proficiency in PyTorch and JIT
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 Ability to work independently on assigned problem areas, understand requirements, and drive development tasks to completion
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 Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
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 Strong developer with a research mindset &ndash; strives to innovate.
 
 
 
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 Preferred Skills
 
 
 
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 Experiences to run workloads on large scale heterogeneous clusters is a plus
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 Knowledge of compiler is a plus.
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 Hands-on experience with CUDA, CUDNN is a plus.
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 Well versed with open-source development practices.
 
 
 
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 Qualifications
 
 
 
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 Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
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 3+ years Software Engineering or related work experience.
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 2+ years experience with Programming Language such as C++, Python.
 
 
 
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 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
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 Salary including housing &amp; transport allowance
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 Stock (RSU's) and performance related bonus
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 16 weeks fully paid Maternity Leave
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 6 weeks fully paid Paternity Leave
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 Employee stock purchase scheme
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 Child Education Allowance
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 Relocation and immigration support (if needed)
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 Life and Medical Insurance
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 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
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 Minimum Qualifications
 
 
 
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 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 
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 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.
 
 
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 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
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 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.
 
 
 
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 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.
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Cloud Machine Learning Engineer - Riyadh, KSA

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