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Metso

Introduction
 
We are looking for a Grinding Technical Sales Support Expert to join our Middle East Technical Sales Support team. In this role, you will work closely with the tier 2 technical sales support to deploy new product information, best practices, sales trainings and technology specific value argumentation, additionally you will be working with the sales team to build campaigns, opportunity funnels, priorities and solutions.
 
This role is based in Riyadh, Saudi Arabia.
 
This role includes approximately 60% travel to customer sites across Middle East.
 
What you’ll do
 
Responsible for supporting and/or leading sales for the Grinding products within the Middle East.
 Visit customer’s site with service & sales team for inspection of grinding equipment, identify the improvement /modification required area, collect information from customer, discuss with customer to adopt recommended solution.
 Prepared sketch, collect technical information of new items, mainly in the parts of competition equipment.
 Support in Product Group level sales funnel generation, ensuring quotation process data for specific cases is appropriate. ​
 Support to Field Service team in commissioning, trouble shooting, preparing recommended spares list etc.
 Responsible for value argumentation, value proposition and win plans for the upgrade & mods. solutions. ​
 Ensure timely progress of sales cases, from lead to proposal and negotiations.
 Ensure profitability of sales cases and the business segment​.
 Ensure compliance with the sales process, proposal and risk management procedures.
 Collect Customer and Competitor information​.
 Support the warranty process, inspection report reviews, recommendations, and solution definitions. ​
 Escalate issues, as required, to the Business Area Tier 2 Technical Sales Support Team​.
 Ensure that Account Managers have adequate training and support to sell their products​.
 Ensure proper fulfillment of all QEHS rules and regulations of Metso Outotec and the Customers.
 
What you’ll bring
 
Mechanical Engineering degree with 7 – 10 years of experience in Technical support / field services /maintenance of Grinding equipment.
 Experience in implementing strategies and business direction to grow business.
 Understanding of different grinding equipment and processes.
 Experience in Metso/Non-Metso Griding Mills.
 Ready to travel to customer sites in Middle East & abroad as and when required
 Strong communication and presentation skills.
 Basic understanding of SAP, Salesforce and AI.

Grinding Technical Sales Support

Super Micro Computer, Inc.

<div><div><h1 class="jobSectionHeader">Operations Manager</h1><div> 
</div></div>Date: Aug 4, 2026
Location: Saudi Arabia - Riyadh
Company: Super Micro Computer
<div><div><div><div><h2 class="jobSectionHeader">Job Req ID: 29200</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">About Supermicro:</h2>
</div><div>Supermicro&reg; is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are amongst the fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer many new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us to drive accelerated growth and technology-led innovation in the global marketplace. 
 
</div></div><div><div><h2 class="jobSectionHeader">Job Summary:</h2>
</div><div>We are seeking a highly organized, proactive, and business-savvy Operations Manager, Technology Enablement &ndash; MEA to serve as the operational backbone for the Technology and Business Enablement and the regional enablement team in Riyadh.
This hybrid role blends strategic enablement operations (program management, process excellence, and scaling regional training/demo/workshop initiatives) with high-level executive assistant and office/team administration responsibilities. You will ensure enablement programs run flawlessly across Saudi Arabia and the wider MEA region while maximizing the team&rsquo;s time on high-value strategic activities.
You will play a critical role in supporting Supermicro&rsquo;s ambitious growth in one of the world&rsquo;s fastest-expanding AI and data center markets.
</div></div><div><div><h2 class="jobSectionHeader">Essential Duties and Responsibilities:</h2> 
</div><div>Technology Enablement Operations ( 60%)
<ul><li>Design, implement, and continuously improve operational processes, workflows, and governance for regional Technology Enablement programs (sales enablement, partner enablement, customer workshops, technical trainings, and solution adoption initiatives focused on AI/GPU servers, liquid cooling, Data Center Building Block Solutions, and sovereign cloud).</li>
<li>Own the regional enablement request intake and prioritization process, working closely with Sales, Solutions Architecture, Marketing, and Engineering teams across KSA and MEA.</li>
<li>Manage the regional enablement calendar, program timelines, logistics, and cross-functional coordination to deliver high-quality trainings, webinars, demos, executive briefings, and events on time.</li>
<li>Establish and track KPIs and success metrics for enablement effectiveness (training completion, adoption rates, win-rate influence, customer/partner feedback); prepare dashboards and reports for the VP and global leadership.</li>
<li>Support the administration of enablement platforms and tools (LMS, content repositories, demo environment coordination, knowledge base).</li>
<li>Drive operational excellence through standardization, automation, and best-practice adoption; identify opportunities to leverage digital/AI tools internally.</li>
<li>Coordinate logistics for regional enablement events, including venue sourcing in KSA/GCC, AV, catering, attendee management, and travel coordination where required.</li>
<li>Manage program budgets, vendor relationships, and procurement for enablement activities in the region.</li>
<li>Support knowledge sharing and documentation to scale best practices across the MEA team.</li>
</ul>Support &amp; Office / Team Administration ( 40%)
<ul><li>Provide comprehensive, high-level support to the Technology and Business Enablement team &ndash; MEA and key team members: proactive calendar management, complex regional and international travel arrangements, expense reporting, and preparation of briefing materials and presentations.</li>
<li>Organize and support team meetings, leadership syncs, strategic planning sessions, and offsites &mdash; including agenda preparation, note-taking, action-item tracking, and follow-up.</li>
<li>Lead or coordinate onboarding and offboarding for new members of the regional Technology Enablement team, ensuring smooth integration and access to tools/resources.</li>
<li>Act as the central liaison between the Technology Enablement function and internal partners (Sales Ops, HR, IT, Finance, Facilities, Legal) on administrative and operational matters in KSA.</li>
<li>Manage day-to-day team operations and Riyadh office needs to maintain a productive hybrid work environment (vendor coordination, supplies, meeting room logistics, local event support).</li>
<li>Handle confidential correspondence, reports, and special projects assigned by the VP with the highest level of professionalism and discretion.</li>
<li>Support local compliance and cultural considerations for events and team activities in the Kingdom.</li> 
</ul></div></div><div><div><h2 class="jobSectionHeader">Qualifications:</h2>
</div><div><ul><li>Bachelor&rsquo;s degree in Business Administration, Operations Management, Computer Science, Engineering, or a related field. A master&rsquo;s degree or PMP certification is a plus.</li>
<li>6+ years of progressive experience in operations management, enablement operations, program management, or executive support in a high-tech, hardware, data center, or AI infrastructure environment.</li>
<li>Proven experience providing high-level executive assistant support to senior leaders (Director/VP level or above).</li>
<li>Strong project and process management skills with the ability to operate effectively in a fast-paced, scaling, matrixed organization.</li>
<li>Excellent organizational, prioritization, and stakeholder management skills.</li>
<li>Proficiency with productivity and collaboration tools (Microsoft 365 / Google Workspace, Slack/Teams, project management platforms such as Asana, Smartsheet, or Monday.com) and basic data visualization in Excel/Power BI.</li>
<li>Fluent in English (written and spoken). Arabic proficiency (written and spoken) is strongly preferred.</li>
<li>Experience working in or with Middle East markets (especially KSA/GCC) is highly desirable.</li>
<li>Ability to travel occasionally within KSA and the MEA region (10&ndash;20%).</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Salary Range</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">EEO Statement</h2>
</div><div>Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.</div></div></div></div></div>

Operations Manager

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Information Technology Group, Information Technology Group &gt; IT Engineering
General Summary:
About the Role
Qualcomm is leveraging its expertise in hardware‑accelerated AI to deliver powerful, energy‑efficient generative AI and computer vision workloads at rack‑scale in modern data centers. The Qualcomm Cloud AI team develops and operates a vertically integrated hardware and software platform for large‑scale AI inference acceleration across global deployments.
We are seeking a Senior Data Center Operations Engineer to support Qualcomm&rsquo;s Cloud AI data center environments through hands-on administration of MAAS, virtual machines, server operating systems, and operational infrastructure. This role is responsible for reliable deployment, imaging, provisioning, troubleshooting, and maintenance of systems that support Cloud AI deployments.
The role requires strong senior-level technical execution, practical troubleshooting judgment, coordination across internal and external teams, and disciplined ownership of documentation, inventory, and operational procedures.
YOU MUST BE A SAUDI NATIONAL TO BE CONSIDERED FOR THIS ROLE
Key Responsibilities will include
Operational Excellence &amp; Reliability
<ul><li>Administer MAAS servers, including deployment configuration, bare-metal provisioning, image management, imaging workflows, and troubleshooting of provisioning issues.
</li><li>Provision, configure, and support virtual machines, including compute, memory, storage, and network resource allocation based on operational requirements.
</li><li>Install, patch, maintain, and troubleshoot server operating systems across bare-metal and virtualized environments.
</li></ul>Hardware &amp; Infrastructure Leadership
<ul><li>Support day-to-day server resources, storage coordination, and infrastructure incidents impacting Cloud AI data center operations.
</li><li>Troubleshoot server hardware, operating system, provisioning, VM, storage, and infrastructure issues, escalating when needed and supporting resolution through closure.
</li><li>Coordinate with HUMAIN, internal Qualcomm teams, and vendors to support deployments, maintenance activities, incident response, and operational follow-up.
</li><li>Maintain accurate system inventory, deployment records, configuration information, operational documentation, and standard operating procedures.
</li></ul>Automation, Tooling &amp; Continuous Improvement
<ul><li>Contribute to improvements in monitoring, alerting, ticketing, and operational workflows to reduce repeat issues and improve support efficiency.
</li><li>Develop and maintain runbooks, checklists, and troubleshooting procedures for MAAS, VM provisioning, OS maintenance, and infrastructure support activities.
</li><li>Participate in incident reviews and help translate lessons learned into practical operational process improvements.
</li></ul>Cross‑Functional Collaboration
<ul><li>Serve as a trusted technical partner to Cloud AI software, systems, security, supply chain, and facilities teams.
</li><li>Communicate complex operational issues, tradeoffs, and recommendations clearly to engineers, leadership, and external partners.
</li><li>Influence operational roadmaps and priorities through data‑driven insights and recommendations.
</li></ul>Required Qualifications &amp; Experience
You demonstrate senior-level engineering ownership through hands-on technical depth, sound troubleshooting judgment, and the ability to execute independently across operational infrastructure responsibilities:
<ul><li>Hands-on experience administering MAAS or similar bare-metal provisioning platforms, including deployment, image management, and troubleshooting.
</li><li>Experience provisioning, configuring, and supporting virtual machines, including resource allocation and operational support.
</li><li>Strong Linux or server operating system administration experience, including installation, patching, maintenance, and troubleshooting.
</li><li>Ability to diagnose infrastructure incidents involving compute, storage, operating systems, provisioning workflows, and virtualization layers.
</li><li>Working knowledge of data center server hardware, storage coordination, networking basics, and operational support processes.
</li><li>Experience coordinating with internal engineering teams, external partners, and vendors to resolve operational issues and support deployments.
</li><li>Strong documentation discipline, including system inventory, configuration records, runbooks, and operational procedures.
</li><li>Clear written and verbal communication skills, with the ability to provide concise operational updates, document issues, and follow through on action items.
</li></ul>Nice‑to‑Have Experience
<ul><li>Experience designing or operating large‑scale AI inference platforms.
</li><li>Proficiency in Python, Bash, or similar scripting languages for automation.
</li><li>Experience with incident management, ticketing systems, and change management processes.
</li><li>Familiarity with hybrid cloud or cloud‑adjacent architectures.
</li><li>Exposure to data center compliance and security standards (e.g., ISO 27001, SOC 2).
</li></ul>Minimum Qualifications
<ul><li>Associate of Bachelor&rsquo;s degree in Electrical Engineering, Information Systems, Computer Science or related field with 6+ years of experience
</li><li>Significant hands‑on experience with computer hardware, servers, networking, and data center operations.
</li></ul>Preferred Qualifications
<ul><li>Industry certifications such as CompTIA Linux+, CCNA, CDCP, or equivalent demonstrated expertise.
</li></ul>Physical Requirements
<ul><li>Ability to frequently transport, install, and rack equipment weighing at least 25 lbs.
</li><li>Ability to work in data center environments involving standing, lifting, and equipment installation.
</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>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>3+ years of IT-related work experience with a Bachelor's degree.
</li></ul>OR
 
5+ years of IT-related work experience without a Bachelor&rsquo;s degree.
 
 
<ul><li>Completed advanced degrees in a relevant field may be substituted for up to two years (Master&rsquo;s = one year, Doctorate = two years) of work experience.
</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><div><div><div><div><div><div>Applicants : 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></div></div></div></div></div></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>

Data Center Operations Engineer, Senior – Cloud AI - 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 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

Accenture

<div>About Accenture
Accenture is a leading global professional services company helping the world's leading enterprises reinvent &mdash; building their digital core, unleashing the power of AI, and creating value at speed and scale. We bring together deep industry expertise, cutting-edge technology, and bold thinking to deliver outcomes that matter. 
You'll join our Cyber Defense practice &mdash; the team on the front line of detecting, investigating, and responding to threats against our clients' most critical assets. This is where cybersecurity gets real: live environments, active threats, and the tools and techniques used to stay ahead of them.<ul><li>
Support Security Operations Center (SOC) activities including threat monitoring, alert triage, and incident escalation workflows</li><li>
Assist in threat intelligence gathering and analysis to help identify emerging attack patterns and vulnerabilities</li><li>
Contribute to incident response activities &mdash; helping document, investigate, and track security events through to resolution</li><li>
Support vulnerability assessments and security testing activities across client environments</li><li>
Work within blended onshore and offshore defense teams, gaining exposure to how 24/7 cyber defense operates at enterprise scale.</li></ul></div>
 
<div>What You'll Need<ul><li>
Currently enrolled in a Bachelor's program in Cybersecurity, Computer Science, Information Systems, or Computer Engineering &mdash; in the last year of their university studies</li><li>
Foundational understanding of networking, threat landscapes, and security monitoring concepts</li><li>
Detail-oriented and analytical &mdash; able to spot patterns and think critically under pressure</li><li>
Clear communicator &mdash; comfortable documenting findings and working across technical teams</li></ul>
Bonus Points<ul><li>
Hands-on exposure to SIEM tools (e.g. Splunk, Microsoft Sentinel, or similar)</li><li>
Familiarity with threat intelligence frameworks such as MITRE ATT&amp;CK</li><li>
Coursework or self-study in ethical hacking, digital forensics, or incident response</li><li>
Interest in certifications such as CompTIA Security+, CEH, or Blue Team Level 1 (BTL1)</li></ul></div>

COOP-Security Managed Services New Associate

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

Freyssinet Saudi Arabia

Job Overview Freyssinet Saudi Arabia is seeking an experienced and dedicated MEP Construction Manager to join our dynamic team. This is a full-time position based in Riyadh, Saudi Arabia. Since our inception in 1978, Freyssinet Saudi Arabia (FSA) has established itself as a leader in the construction industry, transitioning from a specialist in pre-fabricated and pre-stressed concrete to a major general contractor. We have a proud history of successfully delivering a wide variety of large-scale contracts, including building complexes, hospitals, industrial projects, commercial centres, and bridges. The successful candidate will be responsible for overseeing and managing all Mechanical, Electrical, and Plumbing (MEP) aspects of our prestigious construction projects, ensuring they are completed on time, within budget, and to the highest standards of quality and safety. Responsibilities * Lead and manage all on-site MEP-related activities from project inception to completion. * Coordinate effectively with project managers, clients, consultants, and subcontractors to ensure seamless project execution. * Review and approve MEP design drawings, specifications, calculations, and material submittals. * Ensure all MEP works comply with project specifications, industry standards, and local regulations. * Develop and manage MEP project schedules, budgets, and resource allocation plans. * Oversee the installation, testing, and commissioning of all MEP systems, including HVAC, plumbing, electrical, and fire safety. * Implement and enforce strict health and safety protocols for all MEP operations on site. * Conduct regular site inspections to monitor progress, ensure quality control, and identify potential issues. * Provide technical guidance and support to the project team, resolving any complex MEP-related challenges. * Prepare regular progress reports for senior management, detailing project status, milestones, and risks. Qualifications * A Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related discipline. * Proven experience as an MEP Manager or in a similar senior role on large-scale construction projects. * Comprehensive technical knowledge of all major MEP systems, components, and installation procedures. * In-depth understanding of construction project management principles and practices. * Strong leadership, communication, and interpersonal skills, with the ability to manage a diverse team. * Excellent problem-solving and decision-making abilities. * Proficiency in relevant software such as AutoCAD, Revit, and project management tools. * Thorough knowledge of international codes, standards, and health and safety regulations. * Previous experience working in Saudi Arabia or the wider Middle East region is highly advantageous.

MEP- Construction Manager

Explore 35+ Area manager fulfillment center operations in Riyadh this September. Find roles across top companies and apply now to boost your career.