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Lockheed Martin

<div></div><div><div><div><div>Engineering</div>
</div><div><div>Riyadh
</div></div><div><p><b>About the Role</b></p>
<div>Lockheed Martin is looking for ambitious and hardworking interns to work on several exciting projects at our office in Riyadh, Saudi Arabia. The internship is planned to be in person and virtual. The intern will report to the manager of the Lockheed Martin KSA but will also take tasking directions from Lockheed Martin mentors in KSA and the United States.<br>
<br>
The intern will be assigned to one or more of the following projects:<ul><li>
Artificial Intelligence tool generation for space exploration applications.</li><li>
Use LM modelling and simulation tools to develop and implement mission planning scenarios.</li><li>
Tool generation for applying UMAP to radar classification.</li></ul>
How to Apply:<br>
<br>
Please upload a single document that includes both your CV/Resume as well as a cover letter. In the cover letter you must specify:<ul><li>
dates you are available to work 40 hours a week</li><li>
this will be a 4 month internship</li><li>
if your GPA is less than 3.0/4.0 (4.3/5.0) you must explain why we should consider you despite the low GPA,</li><li>
nationality</li></ul></div>
</div><div><p><b>Required skills, qualifications and experience</b></p>
<div><ul><li>KSA National studying in the KSA universities</li><li>
Enrolled in a University in the KSA (or recently graduated)</li><li>
Familiar with the software development life cycle</li><li>
Junior, senior, graduate student, or recent graduate in Computer Science, Computer/electrical Engineering, Industrial Engineering, Aerospace Engineering, or any engineering with computer programming experience.</li></ul><br>
Desired skills:<ul><li>
A passion for working in the aerospace and defence industry</li><li>
Past coursework/self-study in Artificial Intelligence</li><li>
Experience writing software requirements and tests</li><li>
Strong Java/Python/C++/C#, and experience using and developing SDKs.</li><li>
Strong data analysis skills preferred</li><li>
Recommended Majors &ndash; AI/ML, image/signal processing, Computer Science, EE</li></ul></div>
</div><div><p><b>Job Reference Number</b></p>
<div>19345BR</div>
</div><div><p><b>Employee Type</b></p>
<div>Casual
</div></div><div><p><b>Hours Per Week</b></p>
<div>40</div>
</div><div><p><b>Working Schedule</b></p>
<div>Standard Hours</div>
</div><div><p><b>Country</b></p>
<div>Saudi Arabia
</div></div><div><p><b>Clearance Required for Role</b></p>
<div>EMEA Verification Check, NONE</div>
</div><div><p><b>Graduate, Intern or Apprentice Vacancy?</b></p>
<div>No</div>
</div><div><p><b>Business Environment</b></p>
<div>Lockheed Martin&rsquo;s International Corporate and Enterprise Business Services (EBS) units, consists of Business Development, IT Services, Payroll, ESH, HR and Finance functions that support the business across the whole of the EMEA region. With employees located throughout the UK, Europe and Middle East, LM Corporate and EBS provide EMEA wide support to all the LM International business areas.</div>
</div><div><p><b>Equal Opportunity Statement</b></p>
<div>Lockheed Martin is committed to upholding principles of equal opportunity, fostering a work environment that is aligned with our core values of integrity, respect, and exceptional performance. We recognize the importance of leveraging the unique talents and experiences of all our employees to drive innovation, deliver superior solutions, and maximize value for our customers. Our focus is on identifying the most qualified candidate for each role, regardless of their background. If you are interested in a position, we invite you to share how your skills and perspectives could bolster our team and encourage you to apply, even if you feel your qualifications do not fully meet all the job criteria outlined in our advertisement. Furthermore, Lockheed Martin is dedicated to ensuring our recruitment process is inclusive for all individuals. We are prepared to accommodate reasonable adjustments for applicants as needed. If you require assistance or adjustments to participate in the job application or interview process, please contact recruitment@global.lmco.com.</div>
</div><div><p><b>Job Expires</b></p>
<div>03/06/2027</div></div></div></div><div></div>

AI Technical Intern

Motorola Solutions

<div><h2 class="jobSectionHeader"><b>Company Overview
</b></h2><p>At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that&rsquo;s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.<br>
</p><h2 class="jobSectionHeader"><br>
<b>Department Overview
</b></h2>You will join a multi-disciplined project team dedicated to the delivery of mission-critical voice and data systems. This role is part of our commitment to the Saudi National Transformation (Tamheer), providing high-potential Saudi postgraduates with hands-on experience in the field of public safety technology and critical communications.
<h2 class="jobSectionHeader"><br>
<b>Job Description
</b></h2><p>As a Deployment Engineer Intern, you will assist senior engineers in the post-sales phase of projects. This is a developmental role where you will learn how to transition conceptual designs into live, functional systems. You will be mentored on Motorola Solutions&rsquo; proprietary technologies and international engineering standards.
</p><p></p><p>Key Responsibilities:
</p><ul><li><p>Technical Assistance: Support the engineering team in the end-to-end deployment of IP plans and communication services.
</p></li><li><p>Documentation: Assist in generating system documentation, equipment lists, and technical site records using relevant tools.
</p></li><li><p>Project Coordination: Help track project progress, technical decisions, and changes alongside Project Managers.
</p></li><li><p>Deployment Support: Assist in the staging, testing, and implementation of hardware and software solutions at customer sites.
</p></li><li><p>Requirement Validation: Learn to validate customer requirements against pre-sales designs and assist in basic design reviews.
</p></li><li><p>Continuous Learning: Maintain and grow knowledge of IP &amp; Transmission design, virtualization, and Motorola&rsquo;s public safety applications.<br>
</p></li></ul><h2 class="jobSectionHeader"><br>
<b>Basic Requirements
</b></h2><p>Basic Requirements
</p><ul><li><p>Nationality: Must be a Saudi National (in compliance with the Tamheer program).
</p></li><li><p>Education: Recent postgraduate (Master&rsquo;s or high-achieving Bachelor&rsquo;s) in Telecommunications, Computer Science, Electronic Engineering, or a related technical field.
</p></li><li><p>Experience: 0&ndash;1 years (This is an entry-level position).
</p></li></ul><p></p><p>Skills:
</p><ul><li><p>Foundational knowledge of IP networking and Transmission.
</p></li><li><p>Basic understanding of Windows/Linux OS and Virtualization (VMware/KVM).
</p></li><li><p>Fluency in English (written and verbal) and Arabic.
</p></li><li><p>Strong desire to learn and a proactive attitude toward problem-solving.
</p></li></ul><p></p><p>What the Intern Will Gain:
</p><ul><li><p>Exposure to &quot;Mission Critical&quot; technologies that help keep communities safe.
</p></li><li><p>Direct mentorship from industry-leading engineers in Riyadh.
</p></li><li><p>Practical experience in complex project integration and system architecture.
</p></li><li><p>A pathway to a potential full-time career within Motorola Solutions upon successful completion of the program.<br>
</p></li></ul><h2 class="jobSectionHeader"><br>
<b>Travel Requirements
</b></h2>25-50%
<h2 class="jobSectionHeader"><br>
<b>Relocation Provided
</b></h2>None
<h2 class="jobSectionHeader"><br>
<b>Position Type
</b></h2>Intern
<p></p><h2 class="jobSectionHeader"><b>Referral Payment Plan
</b></h2>No
<p></p><h2 class="jobSectionHeader"><b>Company
</b></h2>Motorola Solutions Arabia, Inc., Saudi Branch
<p></p><p><b><i>EEO Statement
</i></b></p><p></p><p>Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
</p><p></p><p>We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.</p></div>

Deployment Engineer Intern (KSA National - Tamheer Program)

Rekaz

<div>
 Content Writer &amp; Researcher Intern
 <p>
  <br/>
 </p>
 About Rekaz
 <p>
  <br/>
 </p>
 <p>
  Rekaz is a SaaS platform built for service businesses to manage bookings, subscriptions, payments, and customer relationships in one place.
 </p>
 <p>
  We help gyms, salons, academies, chalets, nurseries, and other service businesses run and grow more efficiently. Today, thousands of businesses use Rekaz to power their operations and customer experience
 </p>
 <p>
  <br/>
 </p>
 Role Description
 <p>
  We're looking for a Content Writer &amp; Researcher who is obsessed with understanding businesses, customers, and why people pay attention.
 </p>
 <p>
  This role is not about writing pretty words.
 </p>
 <p>
  It's about finding insights.
 </p>
 <p>
  Your job is to deeply understand different business sectors, uncover the problems business owners actually care about, and turn those insights into content ideas, hooks, scripts, and narratives that drive attention and demand.
 </p>
 <p>
  You will spend a significant amount of time researching industries, analyzing content, reviewing customer conversations, studying competitors, and identifying patterns that can be turned into high-performing content
 </p>
 <p>
  <br/>
 </p>
 What You'll Do
 <ul>
  <li>
   Research different business sectors (salons, gyms, academies, chalets, nurseries, home services, and more)
  </li>
  <li>
   Extract content ideas from customer interviews, sales calls, webinars, support conversations, and online communities
  </li>
  <li>
   Turn raw information into content angles, hooks, scripts, and content briefs
  </li>
  <li>
   Identify recurring pain points, objections, and desires business owners have
  </li>
  <li>
   Analyze top-performing content and understand why it works
  </li>
  <li>
   Study competitors and industry trends
  </li>
  <li>
   Work closely with the growth, sales, and product teams to discover content opportunities
  </li>
  <li>
   Create content systems that allow ideas to scale across multiple platforms
  </li>
  <li>
   Continuously improve content quality through testing and analysis
  </li>
 </ul>
 <p>
  <br/>
 </p>
 What We're Looking For
 <ul>
  <li>
   Strong research skills
  </li>
  <li>
   Exceptional curiosity
  </li>
  <li>
   Ability to learn new industries quickly
  </li>
  <li>
   Strong writing and storytelling skills
  </li>
  <li>
   Ability to simplify complex topics
  </li>
  <li>
   Ability to identify patterns and insights from conversations and data
  </li>
  <li>
   Strong understanding of short-form content
  </li>
  <li>
   Comfortable working with AI tools as part of the research process
  </li>
  <li>
   Ability to think commercially, not just creatively
  </li>
 </ul>
 <p>
  <br/>
  <br/>
 </p>
 Success In This Role Looks Like
 <ul>
  <li>
   Consistently generating high-quality content ideas
  </li>
  <li>
   Finding insights before everyone else
  </li>
  <li>
   Turning customer conversations into content opportunities
  </li>
  <li>
   Helping create content that drives real business results, not just views
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
</div>


Marketing Copywriter Intern

MOZN

<div>
 <strong>
  About MOZN
  <br/>
  <br/>
 </strong>
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 <br/>
 <br/>
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 <br/>
 <br/>
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Senior SEO, Organic Growth &amp; Website Experience Specialist will own MOZN&rsquo;s organic growth strategy, website performance, technical SEO, content optimization, and AI search visibility. The role is directly accountable for increasing organic traffic, organic-sourced pipeline, website conversion rates, and overall digital presence across MOZN&rsquo;s product portfolio.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   SEO &amp; Organic Growth
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and execute SEO strategies aligned to pipeline and revenue objectives.
  </li>
  <li>
   Own organic traffic, keyword rankings, search visibility, and organic lead generation.
  </li>
  <li>
   Build SEO roadmaps across products, industries, and target markets.
  </li>
  <li>
   Conduct competitor and search opportunity analysis.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Technical SEO
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Conduct technical audits and implement improvements.
  </li>
  <li>
   Optimize site architecture, crawlability, indexation, Core Web Vitals, page speed, and mobile performance.
  </li>
  <li>
   Manage structured data, schema markup, redirects, XML sitemaps, and canonicalization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Website Management &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own overall website health and performance.
  </li>
  <li>
   Partner with developers to implement enhancements and resolve issues.
  </li>
  <li>
   Improve user journeys, navigation, engagement, and conversion paths.
  </li>
  <li>
   Manage landing page optimization and website experimentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Content &amp; Organic Visibility
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Partner with content teams to build SEO-driven content strategies.
  </li>
  <li>
   Create topic clusters, content briefs, and keyword frameworks.
  </li>
  <li>
   Optimize blogs, solution pages, product pages, and resource centers.
  </li>
  <li>
   Improve multilingual search performance across English and Arabic content.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   AI Search Optimization
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Optimize MOZN's visibility across AI-powered search platforms including ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews.
  </li>
  <li>
   Develop strategies to improve citation frequency, authority, and discoverability within AI-generated responses.
  </li>
  <li>
   Monitor emerging AI search trends and adapt SEO strategies accordingly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Analytics &amp; Reporting
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Track and report on organic traffic, rankings, backlinks, website engagement, MQLs, opportunities, pipeline, and revenue influence.
  </li>
  <li>
   Deliver monthly performance reports with actionable recommendations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Authority Building
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop backlink acquisition strategies.
  </li>
  <li>
   Drive thought leadership, PR, guest posting, and digital authority initiatives.
  </li>
  <li>
   Webinar and CRM Capabilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Tools &amp; Platforms
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Google Analytics 4 (GA4)
  </li>
  <li>
   Google Search Console
  </li>
  <li>
   SEMrush
  </li>
  <li>
   Ahrefs
  </li>
  <li>
   Screaming Frog
  </li>
  <li>
   Google Tag Manager
  </li>
  <li>
   Looker Studio
  </li>
  <li>
   HubSpot
  </li>
  <li>
   Microsoft Clarity
  </li>
  <li>
   WordPress / Headless CMS Platforms
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;8 years of SEO, organic growth, or website optimization experience.
  </li>
  <li>
   Experience within B2B SaaS, AI, enterprise software, fintech, cybersecurity, or technology sectors.
  </li>
  <li>
   Strong technical SEO expertise.
  </li>
  <li>
   Strong understanding of website UX, CRO, and digital analytics.
  </li>
  <li>
   Experience working with developers, content teams, and demand generation teams.
  </li>
  <li>
   Experience managing multilingual SEO programs
  </li>
  <li>
   Data-driven and commercially minded.
  </li>
  <li>
   Understands the connection between SEO, pipeline, and revenue.
  </li>
  <li>
   Strong technical and analytical capabilities.
  </li>
  <li>
   Comfortable operating independently and influencing stakeholders.
  </li>
  <li>
   Passionate about AI, search innovation, and growth marketing
  </li>
  <li>
   Proficient in English and Arabic
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Success Metrics
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Organic Traffic Growth
  </li>
  <li>
   Non-Branded Keyword Rankings
  </li>
  <li>
   Top 3 Keyword Growth
  </li>
  <li>
   Share of Voice vs Competitors
  </li>
  <li>
   Organic MQL Generation
  </li>
  <li>
   Organic Pipeline Contribution
  </li>
  <li>
   Marketing-Sourced Revenue Contribution
  </li>
  <li>
   Website Conversion Rate
  </li>
  <li>
   Bounce Rate Reduction
  </li>
  <li>
   Core Web Vitals Performance
  </li>
  <li>
   Backlink Growth &amp; Domain Authority
  </li>
  <li>
   AI Search Visibility &amp; Citation Growth
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Be part of one of the fastest-growing AI companies in the Middle East during a pivotal moment for the region&rsquo;s digital transformation.
  </li>
  <li>
   Work on cutting-edge AI products with real impact in financial crime prevention and regulatory compliance.
  </li>
  <li>
   Enjoy an ownership-driven culture with autonomy, trust, and significant room for growth.
  </li>
  <li>
   Competitive compensation, premium health insurance, and a supportive, high-performance environment.
  </li>
  <li>
   Collaborate with world-class AI scientists, engineers, and industry experts.
  </li>
  <li>
   An inclusive culture that values diversity, innovation, and empowering people to reach their full potential.
  </li>
 </ul>
</div>


Senior SEO, Organic Growth & Website Experience Specialist

Qualcomm

<div>
 <strong>
  Company
  <br/>
  <br/>
 </strong>
 Qualcomm Middle East Information Technology Company LLC
 <br/>
 <br/>
 <strong>
  Job Area
  <br/>
  <br/>
 </strong>
 Engineering Group, Engineering Group &gt; Software Engineering
 <br/>
 <br/>
 <strong>
  General Summary
  <br/>
  <br/>
 </strong>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 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 intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high‑performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power‑efficient platforms that power the next generation of intelligent infrastructure.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Qualcomm is seeking
 <strong>
  Machine Learning Applications Engineer &ndash; AI Inference &amp; Model Optimization
 </strong>
 to support the enablement of rack-scale deep learning workloads on advanced Qualcomm AI inference accelerators. These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
 <br/>
 <br/>
 This is a
 <strong>
  customer
 </strong>
 ‑
 <strong>
  facing, highly technical role
 </strong>
 focused on
 <strong>
  porting, optimizing, and validating deep learning AI models
 </strong>
 on production systems, and enabling Qualcomm&rsquo;s partners to develop and deploy advanced machine learning applications - including computer vision, speech, generative AI and state of the art multimodal reasoning models - using popular frameworks such as PyTorch, TensorFlow, and ONNX on Qualcomm Cloud AI accelerators. Key responsibilities include evaluating models for throughput, latency, and accuracy; profiling and optimizing model performance; building robust application pipelines; integrating customer frameworks; and contributing to documentation, training, and demonstrations.
 <br/>
 <br/>
 The role requires strong expertise in AI models, quantization, performance optimization, and deployment, plus the ability to shape architecture, workload sizing, and system design. It also requires experience with deep learning model development across hardware platforms, solid programming skills, collaboration with cross-functional teams, and proficiency in machine learning frameworks, Linux, and container orchestration tools.
 <br/>
 <br/>
 The ideal candidate can effectively
 <strong>
  bridge AI model requirements &harr; hardware capabilities &harr; customer expectations
 </strong>
 , guiding customers from
 <strong>
  model selection &rarr; hardware sizing &rarr; deployment decisions &rarr; production readiness.
  <br/>
  <br/>
 </strong>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI Model Porting &amp; Optimization
  </li>
  <li>
   Deploy, optimize and scale deep learning AI models onto accelerator‑based data center platforms, including:
  </li>
  <li>
   Model conversion workflows
  </li>
  <li>
   Quantization techniques (INT8 / mixed precision)
  </li>
  <li>
   Runtime integration and optimization
  </li>
  <li>
   Integrate ML models onto Qualcomm&rsquo;s Cloud AI ML stack from frameworks such as PyTorch, TensorFlow, and ONNX.
  </li>
  <li>
   Drive improvements in model throughput, latency, and accuracy, with clear trade‑off analysis.
  </li>
  <li>
   Build, test, and deploy scalable inference pipelines using serving frameworks such as vLLM, TGI, and Triton.
  </li>
  <li>
   Optimize workloads for LLM and GenAI models across both multi-SoC and multi-card architectures.
  </li>
  <li>
   Collaborate with engineering teams to analyze and refine training and inference for advanced deep learning applications.
  </li>
  <li>
   Identify bottlenecks across compute, memory, and runtime, and guide optimization strategies.
  </li>
  <li>
   Contribute to Qualcomm&rsquo;s Cloud AI GitHub repository and developer documentation, sharing technical best practices and solutions.
  </li>
  <li>
   Develop and integrate end-to-end ML application pipelines with customer frameworks and libraries.
  </li>
  <li>
   Customer‑Facing Technical Engagement
  </li>
  <li>
   Act as a trusted technical advisor for customers deploying AI workloads.
  </li>
  <li>
   Engage in hardware sizing and architecture discussions, aligning model requirements with infrastructure capabilities.
  </li>
  <li>
   Provide technical guidance on:
  </li>
  <li>
   AI model selection
  </li>
  <li>
   Deployment feasibility
  </li>
  <li>
   System architecture and performance expectations
  </li>
  <li>
   Lead discussions on model capabilities and limitations based on real customer use cases.
  </li>
  <li>
   Model&ndash;Infrastructure Alignment
  </li>
  <li>
   Assess and evaluate AI model requirements and recommend alternative model approaches when necessary.
  </li>
  <li>
   Align model characteristics (latency, throughput, accuracy) with accelerator and system capabilities.
  </li>
  <li>
   Connect model requirements with:
  </li>
  <li>
   Memory constraints
  </li>
  <li>
   Accelerator architecture
  </li>
  <li>
   Scaling limitations
  </li>
  <li>
   Support customers in defining model selection strategies based on deployment realities.
  </li>
  <li>
   Performance &amp; Scalability Engineering
  </li>
  <li>
   Evaluate performance characteristics of AI models in production scenarios, including:
  </li>
  <li>
   Throughput expectations
  </li>
  <li>
   Latency targets
  </li>
  <li>
   Concurrency behavior
  </li>
  <li>
   Guide architecture decisions around:
  </li>
  <li>
   Scaling strategies (horizontal vs vertical)
  </li>
  <li>
   Hardware deployment sizing
  </li>
  <li>
   Contribute to discussions on:
  </li>
  <li>
   Workload scalability limits
  </li>
  <li>
   Impact of model selection on system performance and efficiency
  </li>
  <li>
   Provide insights into capacity planning and infrastructure optimization.
  </li>
  <li>
   End‑to‑End AI Pipeline Design
  </li>
  <li>
   Drive discussions around end‑to‑end AI pipelines, including:
  </li>
  <li>
   Multi‑model workflows (e.g., detection + tracking + recognition)
  </li>
  <li>
   Data preprocessing and post‑processing stages
  </li>
  <li>
   Guide decisions on video and data processing stacks, including:
  </li>
  <li>
   Video pipeline choices (e.g., FFMPEG vs GStreamer)
  </li>
  <li>
   Integration into inference pipelines
  </li>
  <li>
   Ensure pipelines are aligned with:
  </li>
  <li>
   Performance requirements
  </li>
  <li>
   Hardware capabilities
  </li>
  <li>
   Real‑time constraints
  </li>
  <li>
   Model Trade‑off Analysis &amp; Validation
  </li>
  <li>
   Highlight and explain trade‑offs between:
  </li>
  <li>
   Accuracy vs compatibility
  </li>
  <li>
   Model quality vs deployment feasibility
  </li>
  <li>
   Support decision‑making on:
  </li>
  <li>
   Model simplification vs performance gains
  </li>
  <li>
   Precision vs efficiency trade‑offs
  </li>
  <li>
   Lead or support model capability validation in deployment environments.
  </li>
  <li>
   Collaborate with customers to define:
  </li>
  <li>
   Inference assumptions
  </li>
  <li>
   Model sizing strategies for large‑scale workloads
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  </li>
  <li>
   10&ndash;15+ years of experience in:
  </li>
  <li>
   Deep learning model development or deployment experience on CPUs/GPUs/ASICs.
  </li>
  <li>
   Inference systems and optimization
  </li>
  <li>
   Data center or edge AI platforms
  </li>
  <li>
   Strong experience with:
  </li>
  <li>
   Model quantization and optimization techniques
  </li>
  <li>
   AI model frameworks (e.g., PyTorch, TensorFlow)
  </li>
  <li>
   Model deployment pipelines
  </li>
  <li>
   Excellent C/C++/Python programming and software design skills, including debugging, and performance analysis.
  </li>
  <li>
   Hands on expertise with Linux-based systems, low level software, drivers, and system bring up.
  </li>
  <li>
   Proven ability to analyze and optimize model performance in production environments.
  </li>
  <li>
   Solid understanding of:
  </li>
  <li>
   AI inference hardware constraints
  </li>
  <li>
   System level performance bottlenecks
  </li>
  <li>
   Strong communication skills and experience in customer facing technical roles.
  </li>
  <li>
   Willingness to travel for customer engagements and strategic reviews.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Skilled in deploying models on platforms that use hardware accelerators for inference.
  </li>
  <li>
   Experienced with managing multi-model workflows and building real-time AI systems, including computer vision, video, and analytics projects.
  </li>
  <li>
   Knowledgeable about distributed inference methods and handling large-scale model deployments.
  </li>
  <li>
   Proficient in developing and maintaining video processing workflows and using relevant software frameworks.
  </li>
  <li>
   Deep understanding of how system-level decisions affect performance in actual deployment environments.
  </li>
  <li>
   Capable of simplifying complex technical ideas into straightforward, useful advice for clients.
  </li>
  <li>
   Hands-on experience running deep learning models on popular ML frameworks such as PyTorch, TensorFlow, ONNX
  </li>
  <li>
   Experience developing software solutions that run in Linux environments with containers and orchestration
  </li>
  <li>
   Experience with Source code and configuration management tools, Git knowledge is required.
  </li>
  <li>
   Customer-facing experience translating customer requirements into technical solutions (discovery, scoping, success criteria, and execution plans).
  </li>
  <li>
   Proven ability to build and deliver technical demos, proofs-of-concept, and reference applications for ML/GenAI workloads.
  </li>
  <li>
   Strong technical writing skills to produce customer-ready documentation (getting started guides, deployment runbooks, troubleshooting guides) and deliver partner training sessions.
  </li>
  <li>
   Experience driving issue triage and technical escalations with customers, coordinating across product, hardware, and software engineering teams to resolution.
  </li>
  <li>
   Excellent stakeholder management and communication skills: present complex technical concepts clearly to both engineering and non-engineering audiences.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Qualcomm
  <br/>
  <br/>
 </strong>
 At Qualcomm, you&rsquo;ll work at the intersection of
 <strong>
  AI silicon, system architecture, and real
 </strong>
 ‑
 <strong>
  world deployment
 </strong>
 . You will engage directly with strategic customers, influence next‑generation AI data center platforms, and help define scalable, power‑efficient infrastructure for the AI era. This role provides a unique opportunity to shape both
 <strong>
  technology direction and customer outcomes
 </strong>
 , while working with world‑class engineering and product teams.
 <br/>
 <br/>
 <strong>
  What's On Offer
  <br/>
  <br/>
 </strong>
 Apart from working with great people, we offer the below:
 <br/>
 <br/>
 <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
   <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 6+ years of Software Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 OR
 <br/>
 <br/>
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
 <br/>
 <br/>
 OR
 <br/>
 <br/>
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
 <br/>
 <br/>
 <ul>
  <li>
   3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
  </li>
  <li>
   References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
   <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>


ML Application Engineer – AI Inference & Model Optimization (Staff/Senior Staff level) - Riyadh, KSA

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Engineering
<p></p><p><b>General Summary:
</b></p><p></p><div><div><p><b>About Us
</b></p></div><div><p>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 intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high ‑ performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power ‑ efficient platforms that power the next generation of intelligent infrastructure.<br>
</p></div><p></p><div><p><b>About the Role
</b></p></div><div><p>Qualcomm is seeking <b>Machine Learning Applications Engineer </b><b>&ndash; AI </b><b>Inference &amp; Model Optimization </b>to support the enablement of rack-scale deep learning workloads on advanced Qualcomm AI inference accelerator s . These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
</p></div><p></p><div><p>This is a <b>customer </b>‑ <b>facing, highly technical role </b>focused on <b>porting, optimizing, and validating </b><b>deep learning </b><b>AI models </b>on production systems, and enabling Qualcomm&rsquo;s partners to develop and deploy advanced machine learning applications - including computer vision, speech, generative AI and state of the art multimodal reasoning models - using popular frameworks such as PyTorch , TensorFlow, and ONNX on Qualcomm Cloud AI accelerators. Key responsibilities include evaluating models for throughput, latency, and accuracy; profiling and optimizing model performance; building robust application pipelines; integrating customer frameworks; and contributing to documentation, training, and demonstrations.
</p></div><p></p><div><p>The role requires strong expertise in AI models, quantization, performance optimization, and deployment, plus the ability to shape architecture, workload sizing, and system design. It also requires experience with deep learning model development across hardware platforms, solid programming skills, collaboration with cross-functional teams, and proficiency in machine learning frameworks, Linux, and container orchestration tools.
</p></div><p></p><div><p>The ideal candidate can effectively <b>bridge AI model requirements hardware capabilities customer expectations </b>, guiding customers from <b>model selection hardware sizing deployment decisions production readiness.
</b></p></div><p></p><div><p><b>What You&rsquo;ll Do
</b></p></div><div><p><b>A) AI Model Porting &amp; Optimization
</b></p></div><div><ul><li><p>Deploy, optimize and scale deep learning AI models onto accelerator ‑ based data center platforms, including:
</p></li></ul></div><div><ul><li><p>Model conversion workflows
</p></li></ul></div><div><ul><li><p>Quantization techniques (INT8 / mixed precision)
</p></li></ul></div><div><ul><li><p>Runtime integration and optimization
</p></li></ul></div><div><ul><li><p>Integrate ML models onto Qualcomm&rsquo;s Cloud AI ML stack from frameworks such as PyTorch , TensorFlow, and ONNX.
</p></li></ul></div><div><ul><li><p>Drive improvements in <b>model </b><b>throughput </b><b>, </b><b>latency </b><b>, and accuracy </b>, with clear trade ‑ off analysis.
</p></li></ul></div><div><ul><li><p>Build, test, and deploy scalable inference pipelines using serving frameworks such as vLLM , TGI, and Triton.
</p></li></ul></div><div><ul><li><p>Optimize workloads for LLM and GenAI models across both multi-SoC and multi-card architectures.
</p></li></ul></div></div><div><div><ul><li><p>Collaborate with engineering teams to analyze and refine training and inference for advanced deep learning applications.
</p></li></ul></div><div><ul><li><p>Identify bottlenecks across compute, memory, and runtime, and guide optimization strategies.
</p></li></ul></div><div><ul><li><p>Contribute to Qualcomm&rsquo;s Cloud AI GitHub repository and developer documentation, sharing technical best practices and solutions.
</p></li></ul></div><div><ul><li><p>Develop and integrate end-to-end ML application pipelines with customer frameworks and libraries.<br>
</p></li></ul></div><p></p><div><p><b>B) Customer </b>‑ <b>Facing Technical Engagement
</b></p></div><div><ul><li><p>Act as a <b>trusted technical advisor </b>for customers deploying AI workloads.
</p></li></ul></div><div><ul><li><p>Engage in <b>hardware sizing and architecture discussions </b>, aligning model requirements with infrastructure capabilities.
</p></li></ul></div><div><ul><li><p>Provide technical guidance on:
</p></li></ul></div><div><ul><li><p>AI model selection
</p></li></ul></div><div><ul><li><p>Deployment feasibility
</p></li></ul></div><div><ul><li><p>System architecture and performance expectations
</p></li></ul></div><div><ul><li><p>Lead discussions on <b>model capabilities and limitations </b>based on real customer use cases.<br>
</p></li></ul></div><p></p><div><p><b>C) Model&ndash;Infrastructure Alignment
</b></p></div><div><ul><li><p>Assess and evaluate AI model requirements and recommend <b>alternative model approaches </b>when necessary.
</p></li></ul></div><div><ul><li><p>Align model characteristics (latency, throughput, accuracy) with <b>accelerator and system capabilities </b>.
</p></li></ul></div><div><ul><li><p>Connect <b>model requirements </b>with:
</p></li></ul></div><div><ul><li><p>Memory constraints
</p></li></ul></div></div><div><div><ul><li><p>Accelerator architecture
</p></li></ul></div><div><ul><li><p>Scaling limitations
</p></li></ul></div><div><ul><li><p>Support customers in defining <b>model selection strategies based on deployment realities </b>.<br>
</p></li></ul></div><p></p><div><p><b>D) Performance &amp; Scalability Engineering
</b></p></div><div><ul><li><p>Evaluate performance characteristics of AI models in production scenarios, including:
</p></li></ul></div><div><ul><li><p>Throughput expectations
</p></li></ul></div><div><ul><li><p>Latency targets
</p></li></ul></div><div><ul><li><p>Concurrency behavior
</p></li></ul></div><div><ul><li><p>Guide architecture decisions around:
</p></li></ul></div><div><ul><li><p>Scaling strategies (horizontal vs vertical)
</p></li></ul></div><div><ul><li><p>Hardware deployment sizing
</p></li></ul></div><div><ul><li><p>Contribute to discussions on:
</p></li></ul></div><div><ul><li><p>Workload scalability limits
</p></li></ul></div><div><ul><li><p>Impact of model selection on system performance and efficiency
</p></li></ul></div><div><ul><li><p>Provide insights into <b>capacity planning and infrastructure optimization </b>.<br>
</p></li></ul></div><p></p><div><p><b>E) End </b>‑ <b>to </b>‑ <b>End AI Pipeline Design
</b></p></div><div><ul><li><p>Drive discussions around <b>end </b>‑ <b>to </b>‑ <b>end AI pipelines </b>, including:
</p></li></ul></div><div><ul><li><p>Multi ‑ model workflows (e.g., detection + tracking + recognition)
</p></li></ul></div></div><div><div><ul><li><p>Data preprocessing and post ‑ processing stages
</p></li></ul></div><div><ul><li><p>Guide decisions on video and data processing stacks, including:
</p></li></ul></div><div><ul><li><p>Video pipeline choices (e.g., FFMPEG vs GStreamer )
</p></li></ul></div><div><ul><li><p>Integration into inference pipelines
</p></li></ul></div><div><ul><li><p>Ensure pipelines are aligned with:
</p></li></ul></div><div><ul><li><p>Performance requirements
</p></li></ul></div><div><ul><li><p>Hardware capabilities
</p></li></ul></div><div><ul><li><p>Real ‑ time constraints<br>
</p></li></ul></div><p></p><div><p><b>F) Model Trade </b>‑ <b>off Analysis &amp; Validation
</b></p></div><div><ul><li><p>Highlight and explain trade ‑ offs between:
</p></li></ul></div><div><ul><li><p>Accuracy vs compatibility
</p></li></ul></div><div><ul><li><p>Model quality vs deployment feasibility
</p></li></ul></div><div><ul><li><p>Support decision ‑ making on:
</p></li></ul></div><div><ul><li><p>Model simplification vs performance gains
</p></li></ul></div><div><ul><li><p>Precision vs efficiency trade ‑ offs
</p></li></ul></div><div><ul><li><p>Lead or support <b>model capability validation </b>in deployment environments.
</p></li></ul></div><div><ul><li><p>Collaborate with customers to define:
</p></li></ul></div><div><ul><li><p>Inference assumptions
</p></li></ul></div><div><ul><li><p>Model sizing strategies for large ‑ scale workloads<br>
</p></li></ul></div></div><p></p><div><div><p><b>Required Qualifications
</b></p></div><div><ul><li><p>Bachelor&rsquo;s degree in Computer Science , Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
</p></li></ul></div><div><ul><li><p>10&ndash;15+ years of experience in:
</p></li></ul></div><div><ul><li><p>D eep learning model development or deployment experience on CPUs/GPUs/ASICs.
</p></li></ul></div><div><ul><li><p>Inference systems and optimization
</p></li></ul></div><div><ul><li><p>Data center or edge AI platforms
</p></li></ul></div><div><ul><li><p>Strong experience with:
</p></li></ul></div><div><ul><li><p>Model quantization and optimization techniques
</p></li></ul></div><div><ul><li><p>AI model frameworks (e.g., PyTorch , TensorFlow)
</p></li></ul></div><div><ul><li><p>Model deployment pipelines
</p></li></ul></div><div><ul><li><p>Excellent C/C++/Python programming and software design skills, including debugging, and performance analysis.
</p></li></ul></div><div><ul><li><p>Hands on expertise with Linux-based systems, low level software, drivers, and system bring up.
</p></li></ul></div><div><ul><li><p>Proven ability to analyze and optimize model performance in production environments.
</p></li></ul></div><div><ul><li><p>Solid understanding of:
</p></li></ul></div><div><ul><li><p>AI inference hardware constraints
</p></li></ul></div><div><ul><li><p>System level performance bottlenecks
</p></li></ul></div><div><ul><li><p>Strong communication skills and experience in customer facing technical roles.
</p></li></ul></div><div><ul><li><p>Willingness to travel for customer engagements and strategic reviews.<br>
</p></li></ul></div></div><p></p><div><div><p><b>Preferred Qualifications
</b></p></div><div><ul><li><p>Skilled in deploying models on platforms that use hardware accelerators for inference.
</p></li></ul></div><div><ul><li><p>Experienced with managing multi-model workflows and building real-time AI systems, including computer vision, video, and analytics projects.
</p></li></ul></div><div><ul><li><p>Knowledgeable about distributed inference methods and handling large-scale model deployments.
</p></li></ul></div><div><ul><li><p>Proficient in developing and maintaining video processing workflows and using relevant software frameworks.
</p></li></ul></div><div><ul><li><p>Deep understanding of how system-level decisions affect performance in actual deployment environments.
</p></li></ul></div><div><ul><li><p>Capable of simplifying complex technical ideas into straightforward, useful advice for clients.
</p></li></ul></div><div><ul><li><p>Hands-on experience running deep learning models on popular ML frameworks such as PyTorch , TensorFlow, ONNX
</p></li></ul></div><div><ul><li><p>Experience developing software solutions that run in Linux environments with containers and orchestration
</p></li></ul></div><div><ul><li><p>Experience with Source code and configuration management tools, Git knowledge is required.
</p></li></ul></div><div><ul><li><p>Customer-facing experience translating customer requirements into technical solutions (discovery, scoping, success criteria, and execution plans).
</p></li></ul></div><div><ul><li><p>Proven ability to build and deliver technical demos, proofs-of-concept, and reference applications for ML/GenAI workloads.
</p></li></ul></div><div><ul><li><p>Strong technical writing skills to produce customer-ready documentation (getting started guides, deployment runbooks, troubleshooting guides) and deliver partner training sessions.
</p></li></ul></div><div><ul><li><p>Experience driving issue triage and technical escalations with customers, coordinating across product , hardware, and software engineering teams to resolution.
</p></li></ul></div><div><ul><li><p>Excellent stakeholder management and communication skills: present complex technical concepts clearly to both engineering and non-engineering audiences.<br>
</p></li></ul></div></div><p></p><div><p><b>Why Join Qualcomm
</b></p></div><div><p>At Qualcomm, you&rsquo;ll work at the intersection of <b>AI silicon, system architecture, and real </b>‑ <b>world deployment </b>. You will engage directly with strategic customers, influence next ‑ generation AI data center platforms, and help define scalable, power ‑ efficient infrastructure for the AI era. This role provides a unique opportunity to shape both <b>technology direction and customer outcomes </b>, while working with world ‑ class engineering and product teams.
</p><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><ul><li><p>Salary including housing &amp; transport allowance
</p></li><li><p>Stock (RSU's) and performance related bonus
</p></li><li><p>16 weeks fully paid Maternity Leave
</p></li><li><p>6 weeks fully paid Paternity Leave
</p></li><li><p>Employee stock purchase scheme
</p></li><li><p>Child Education Allowance
</p></li><li><p>Relocation and immigration support (if needed)
</p></li><li><p>Life and Medical Insurance
</p></li><li><p>Live+ Well Reimbursement for health and recreational membership fees
</p></li></ul></div><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
</li></ul>OR
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
<br>
<br>
<ul><li>3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

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AI Platform & Inference Suite Engineer (Staff/Senior Staff level) - Riyadh, KSA