computing instructor it cs software engineering

Qureos

<p><strong>Position Summary</strong></p><p>The Computing Instructor – (IT, CS &amp; Software Engineering) for ICT Disciplines is responsible for delivering high-quality instruction that introduces students to the fundamental concepts and principles of Information Technology, Software Engineering, and Computer Science. This position serves to orient students to the computing field, help them understand the core differences between these three major pathways, explore real-world applications and career opportunities, and build foundational knowledge in computing concepts. The instructor helps students make informed decisions about their major selection while developing essential computational thinking skills.<br /> </p><p><strong>Key Responsibilities:</strong><br /> </p><p><strong>Instruction &amp; Delivery:</strong></p><ul><li>Teach introductory computing courses such as Foundations of Computing, Introduction to ICT Disciplines, Computing Thinking &amp; Problem Solving, or Computing Careers &amp; Pathways.</li><li>Deliver engaging instruction that explores the fundamental concepts common to all computing disciplines, including algorithms, data representation, networks, and cybersecurity basics.</li><li>Provide clear explanation of the distinctions between Information Technology (practical application and management of systems), Software Engineering (design and development of software products), and Computer Science (theoretical foundations and algorithmic thinking).</li><li>Use case studies, industry examples, hands-on labs, and real-world projects to contextualize learning and demonstrate practical applications.</li><li>Guide students in understanding career pathways, industry roles, and emerging technologies in each discipline.</li></ul><p><strong>Curriculum &amp; Planning:</strong></p><ul><li>Participate in curriculum development and continuous program improvement.</li><li>Develop engaging lesson plans that align with course objectives, computing standards, and institutional standards.</li><li>Stay current with developments in computing fields, emerging technologies, and industry trends.</li></ul><p><strong>Student Support &amp; Environment:</strong></p><ul><li>Create a supportive, inclusive learning environment that encourages curiosity, computational thinking, and exploration of computing disciplines.</li><li>Support students through office hours, academic advising, major selection guidance based on interests and strengths, and pastoral care.</li><li>Help students overcome anxiety or lack of confidence related to computing by building foundational skills and knowledge.</li></ul><p><strong>Assessment:</strong></p><ul><li>Assess student understanding through various formative and summative assessment methods.</li><li>Provide constructive feedback to help students develop computational thinking skills and build confidence with computing concepts.</li></ul><p><strong>Collaboration &amp; Administration:</strong></p><ul><li>Collaborate with IT, Software Engineering, and Computer Science program faculty to ensure alignment with degree program requirements and learning outcomes.</li><li>Maintain detailed records of student progress and attendance.</li><li>Participate in department meetings and professional development activities.</li></ul><p><br /><strong>Required Qualifications:</strong><br /> </p><p><strong>Essential:</strong></p><ul><li>Master's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a closely related field from an accredited university.</li><li>Minimum 2 years of professional teaching experience at the university level or equivalent professional practice in computing disciplines.</li><li>Strong subject matter expertise in computing fundamentals and broad knowledge of current trends across Information Technology, Software Engineering, and Computer Science.</li><li>Ability to clearly explain and differentiate between the three computing discipline pathways.</li><li>Fluency in English (written and oral) to support teaching in an English-medium academic environment.</li></ul><p><br /><strong>Preferred:</strong></p><ul><li>Experience teaching in international, English-medium, or foundation year programs.</li><li>Professional experience in industry across multiple computing disciplines (e.g., IT operations, software development, systems design).</li><li>Familiarity with case-based learning, problem-based learning, or project-based learning pedagogies.</li></ul><p><br /><strong>Knowledge, Skills, and Attributes:</strong></p><ul><li>Comprehensive knowledge of computing fundamentals and the breadth of computing disciplines.</li><li>Ability to make complex computing concepts accessible and engaging to novice learners.</li><li>Strong pedagogical skills and commitment to learner-centered teaching, particularly in building confidence with technology.</li><li>Proficiency in classroom management and creating inclusive, equitable learning environments.</li><li>Commitment to professional development and continuous improvement, including staying current with computing field developments.</li></ul>

Computing Instructor – (IT, CS & Software Engineering)

Qualcomm

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   Company:
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 Qualcomm Middle East Information Technology Company LLC
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   Job Area:
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 Engineering Group, Engineering Group &gt; Software Engineering
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   General Summary:
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 <strong>
  About Us
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 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.
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 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
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 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.
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   About The Role
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 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.
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 You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
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   Key Responsibilities Will Include:
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   API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
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   Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
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   Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
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   LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
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   SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
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   Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
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   Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
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   Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
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   Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
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   Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
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   Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
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   Minimum Qualifications
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   Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
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   5+ years of software engineering experience; 3+ years in ML or HPC environments.
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   Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
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   Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
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   Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
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   Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
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   Preferred Qualifications
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   Master&rsquo;s degree in Computer Science, Machine Learning, or related field.
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   Experience building inference and fine-tuning pipelines, as well as agentic workflows.
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   Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
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   Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
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   Contributions to inference and GenAI model performance optimization.
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  </li>
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   What's On Offer
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 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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  </li>
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 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
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 OR
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 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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  </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).
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 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.
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 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : 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.
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 If you would like more information about this role, please contact Qualcomm Careers.
</div>


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

VaporVM

<div><div><b>Date Posted:</b> 11 June, 2026
</div><div><b>Industry:</b> IT Services and IT Consulting
</div><div><b>Location:</b> VaporVM</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<div><h1 class="jobSectionHeader"><b>Senior HPC / Infrastructure Engineer</b></h1>
<p><b>Location:</b> Riyadh, Saudi Arabia</p>
<p><b>Employment Type:</b> Full-Time</p>
<p><b>Experience:</b> 10+ Years (Hands-On)</p>
<h2 class="jobSectionHeader"><b>Position Overview</b></h2>
<p>We are seeking a highly experienced <b>Senior HPC / Infrastructure Engineer</b> with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.</p>
<p>The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.</p>
<h2 class="jobSectionHeader"><b>Required Certifications</b></h2>
<ul><li><b>RHCE &ndash; Red Hat Certified Engineer (Active)</b></li>
<li><b>CKA &ndash; Certified Kubernetes Administrator (Active)</b></li>
</ul><h2 class="jobSectionHeader"><b>Core Technical Expertise</b></h2>
<h3 class="jobSectionHeader"><b>HPC &amp; NVIDIA AI Ecosystem</b></h3>
<ul><li>NVIDIA Base Command Manager (BCM)</li>
<li>NVIDIA AI Enterprise</li>
<li>NVIDIA GPU Operator &amp; Network Operator</li>
<li>NVIDIA NIM Inference Services</li>
<li>NVIDIA AI Blueprints</li>
<li>CUDA, GPU Drivers, and Performance Optimization</li>
</ul><h3 class="jobSectionHeader"><b>Compute &amp; Container Platforms</b></h3>
<ul><li>Kubernetes (Architecture, Operations &amp; Scaling)</li>
<li>Slurm Workload Manager</li>
<li>Distributed Computing Environments</li>
</ul><h3 class="jobSectionHeader"><b>Operating Systems</b></h3>
<ul><li>Red Hat Enterprise Linux (RHEL)</li>
<li>Ubuntu LTS (Canonical)</li>
</ul><h3 class="jobSectionHeader"><b>Automation &amp; DevOps</b></h3>
<ul><li>CI/CD Pipeline Design &amp; Implementation</li>
<li>Infrastructure Automation</li>
<li>Platform Lifecycle Management</li>
<li>Configuration Management &amp; Orchestration</li>
</ul><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.</li>
<li>Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.</li>
<li>Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.</li>
<li>Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.</li>
<li>Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.</li>
<li>Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.</li>
<li>Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.</li>
<li>Optimize performance across compute, GPU, storage, networking, and cluster resources.</li>
<li>Implement monitoring, observability, alerting, capacity planning, and operational best practices.</li>
<li>Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.</li>
</ul><h2 class="jobSectionHeader"><b>Candidate Profile</b></h2>
<ul><li>10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.</li>
<li>Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.</li>
<li>Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.</li>
<li>Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.</li>
<li>Experience supporting AI/ML, data science, and high-performance computing workloads at scale.</li>
<li>Strong analytical, troubleshooting, and problem-solving skills.</li>
<li>Ability to work across infrastructure, platform, automation, and AI enablement domains.</li>
<li>Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.</li></ul></div></div><p></p>

Senior Infrastructure / HPC

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 <br/>
 <br/>
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 <br/>
 <br/>
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 <br/>
 <br/>
 Join Lenovo&rsquo;s Infrastructure Solutions Group (ISG) as a
 <strong>
  Staff Manufacturing Engineer
 </strong>
 and play a key role in shaping the future of server hardware testing. In this role, you will lead process optimization, introduce advanced testing technologies, and ensure top-quality standards for enterprise-level solutions. This position offers the opportunity to collaborate with cross-functional teams and drive innovation in a global environment.
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  Your Responsibilities
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 </strong>
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  <li>
   Design and optimize assembly process workflows, including the design and validation of related fixtures and tooling; prepare and maintain process documentation.
  </li>
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   Participate in new product trial builds, troubleshoot functional and structural issues during pilot runs, and complete issue reports.
  </li>
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   Respond quickly to and resolve technical problems on the production line, applying root cause analysis and implementing corrective and preventive actions.
  </li>
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   Lead or support continuous improvement projects focused on efficiency, quality, and cost reduction.
  </li>
  <li>
   Collaborate closely with Production, Quality, and Product Development teams to ensure effective implementation of process requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Position Requirements
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 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree or above in Mechanical Engineering, Automation, Industrial Engineering, or related fields.
  </li>
  <li>
   Minimum 5 years of experience in manufacturing or process engineering; experience in Server/ PC/notebook or consumer electronics assembly is preferred.
  </li>
  <li>
   Strong knowledge of mechanical assembly tolerance analysis and ability to independently design fixtures.
  </li>
  <li>
   Proficient in engineering design software such as CAD and SolidWorks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Can We Offer You
  <br/>
  <br/>
 </strong>
 <li>
  An international team with a high focus on Gender Diversity.
 </li>
 <ul>
  <li>
   Employee Assistance Program for psychological, legal, and financial consultancy.
  </li>
  <li>
   A company committed to sustainability through CO2 Offset, Asset Recovery Services, and Lenovo Certified Refurbished portfolio.
  </li>
  <li>
   Access to training for personal development via our internal e-learning platform.
  </li>
  <li>
   Mentorship program to support your career growth.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 </em>
</div>


ISG Staff Manufacturing Engineer

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00099846
</div></div><div><div>Career area:
</div><div>Sales
</div></div><div><div>Country/Region:
</div><div>Saudi Arabia
</div></div><div><div>State:
</div><div>Riyadh
</div></div><div><div>City:
</div><div>Riyadh
</div></div><div><div>Date:
</div><div>Tuesday, June 23, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements<br>
</b></h3></div></div><p></p><div><div><div><div><br>
<p><b>Role Overview</b></p><p>
Lenovo is seeking a high-impact Senior Solutions &amp; Services Executive (Saudi National) to lead growth in the sports industry across Saudi Arabia. This role is responsible for driving new business (hunter profile) and expanding Lenovo&rsquo;s footprint across Sports Ministries, Federations, Clubs, Leagues, Esports organizations, and Sports &amp; Entertainment entities.</p><p>
The successful candidate will position Lenovo as a strategic technology partner, leveraging Hybrid Cloud, AI, Edge, and TruScale (as-a-service) offerings to deliver measurable outcomes aligned to the digital transformation agendas of sports organizations.</p><p><b><br>
Key Responsibilities</b></p><ul><li>
Identify, develop, and close net-new opportunities within: sports ministries &amp; government authorities, national &amp; regional sports federations, professional clubs &amp; leagues, esports organizations &amp; gaming ecosystems, sports &amp; entertainment venues and operators, build a strong pipeline of multi-million-dollar opportunities focused on solutions and services (Opex/consumption-based models)</li><li>
Drive strategic account penetration and whitespace expansion across the sports ecosystem</li><li>
Own OneLenovo engagement strategy for the sports vertical in KSA</li><li>
Activate and align channel partners, ISVs, and ecosystem players to accelerate deal velocity</li><li>
Represent Lenovo at key industry platforms (e.g., LEAP, sports summits, and sports events)</li><li>
Lead value-based, consultative sales engagements with C-level stakeholders (CIO, CTO, CFO, Digital Heads)</li><li>
Position Lenovo&rsquo;s portfolio including: Hybrid Cloud &amp; Software Defined Infrastructure, AI / GPU workloads (analytics, fan engagement, performance optimization), Smart venues, IoT, and edge computing, TruScale consumption-based services</li><li>
Translate customer business needs into outcome-driven solutions (fan experience, operational efficiency, revenue growth, sustainability)</li>
Own the full sales cycle: Opportunity identification qualification solutioning proposal negotiation<li> closure</li><li>
Develop financial models and business cases (TCO, ROI, IRR, Opex vs Capex, IFRS considerations)</li><li>
Coordinate with legal, delivery, and services teams to structure contracts, SLAs, and commercials</li><li>
Ensure accurate forecasting, pipeline visibility, and CRM discipline</li><li>
Establish trusted advisor status with executive stakeholders across the sports ecosystem, driving long-term partnerships and account growth strategies.</li></ul><p><b><br>
Required Qualifications</b></p><ul><li>
7+ years in enterprise sales, business development, or solution selling within IT/services with a proven track record in closing large, complex, multi-million-dollar deals</li><li>
Background in sports, media, entertainment, or public sector is highly preferred</li><li>
Strong understanding of: Hybrid Cloud &amp; Software Defined Infrastructure, AI/ML workloads and GPU-based solutions, Edge computing, IoT, and smart venue technologies</li></ul><br>
<div></div>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div><div><ul><li>Saudi Arabia<br>
</li></ul></div><div></div><div><div><div><br>
<br>
<div><b>AI PROCESSING NOTICE</b></div><div></div><div><br>
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.</div></div></div></div></div></div></div></div>

Sr. Solutions & Services Executive - Sports Vertical

Axiom Technologies

<div><p><b>Axiom Technologies</b> is a Global IT Services partner supporting medium to large-scale enterprises. Please visit our website for more information about what we do at www.axiomtechnologies.com.</p>
<p>We are looking for a capable resource to coordinate ranging from simple activities to more complex plans. This role will provide onsite/ on-call assistance to end-users within the organization&rsquo;s desktop computing environment in a timely and accurate fashion to ensure optimal service delivery.</p>
<p></p><p><b>Job Summary</b><br>
We are seeking a highly experienced Senior LoRaWAN IoT Consultant to lead the design, implementation, and commercialization of next-generation IoT and Smart Infrastructure solutions. The role will play a key part in supporting our upcoming IoT and LoRaWAN initiatives in Saudi Arabia, including smart city, industrial IoT, digital twin, and sensor-based monitoring projects.<br>
The ideal candidate will possess deep expertise in LoRaWAN technologies, IoT ecosystems, sensor networks, and smart infrastructure deployments.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities:</b></h2>
<ul><li>Design and implement enterprise-grade LoRaWAN solutions.</li>
<li>Lead deployment of IoT sensor networks and gateways.</li>
<li>Define IoT architecture for smart city and industrial projects.</li>
<li>Support digital twin initiatives through sensor integration.</li>
<li>Evaluate and recommend IoT hardware and communication protocols.</li>
<li>Collaborate with software, GIS, AI, and cloud teams.</li>
<li>Conduct technical workshops and customer presentations.</li>
<li>Support pre-sales activities and solution demonstrations.</li>
<li>Develop technical documentation and deployment standards.</li>
<li>Assist in establishing and scaling IoT operations within Saudi Arabia.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications Required:</b></h2>
<p><b>Core Technologies</b></p>
<ul><li>LoRaWAN</li>
<li>Industrial IoT (IIoT)</li>
<li>Jaarvis Technologies</li>
<li>Real-Time Monitoring Systems</li>
<li>IoT Sensor Networks</li>
<li>Edge Computing</li>
<li>MQTT</li>
<li>Modbus</li>
<li>OPC-UA</li>
<li>Wireless Communication Protocols<br>
<br>
<b>Smart Infrastructure</b></li>
<li>Smart Cities</li>
<li>Smart Buildings</li>
<li>Utility Monitoring</li>
<li>Environmental Monitoring</li>
<li>Asset Tracking</li>
<li>Predictive Maintenance<br>
<br>
<b>Digital Platforms</b></li>
<li>IoT Platforms</li>
<li>Cloud-based IoT Solutions</li>
<li>Digital Twin Concepts</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualifications:</b></h2>
<ul><li>Experience in Saudi Arabia or GCC markets.</li>
<li>Arabic language proficiency is highly preferred.</li>
<li>Experience with Smart City or Government projects.</li>
<li>Knowledge of AI-enabled IoT systems.</li>
<li>Experience with Digital Twin implementations.</li>
</ul>
<h2 class="jobSectionHeader"><br>
<b>Experience Required:</b></h2>
<p>Minimum 5 years of relevant IoT experience.<br>
Demonstrated experience in LoRaWAN deployments.<br>
10+ years preferred for senior-level candidates.</p>
<p><b>What next?</b></p>
<p>If you are looking for that next challenge in your career and wish to apply for this role, please forward your resume to careers.asa@axiomtechnologies.com</p></div><p></p>

Senior LoRaWAN IoT Consultant

<div>
 <strong>
  Company
  <br/>
  <br/>
 </strong>
 Qualcomm Middle East Information Technology Company LLC
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  Job Area
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 Engineering Group, Engineering Group &gt; Software Engineering
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 <strong>
  General Summary
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 </strong>
 <strong>
  About Us
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  <br/>
 </strong>
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 <strong>
  .
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
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  We are looking for 8+ years Software Engineering or related work experience
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  <br/>
 </strong>
 <strong>
  Key Responsibilities Will Include
  <br/>
  <br/>
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 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desirable Skills And Aptitudes
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  <br/>
 </strong>
 <strong>
  Required Skills and Aptitude
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  <br/>
 </strong>
 <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.
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
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  <br/>
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 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What's On Offer
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  <br/>
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 Apart from working with great people, we offer the below:
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  <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 OR
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 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
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 <br/>
 OR
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 PhD in Engineering, Information Systems, Computer Science, or related field.
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 <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.
   <br/>
   <br/>
   <br/>
  </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).
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : 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.
 <br/>
 <br/>
 If you would like more information about this role, please contact Qualcomm Careers.
</div>


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

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