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principal software engineer tech ai

McKinsey & Company

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Principal Engineer I, you will lead development teams to design and deliver enterprise-grade software solutions while shaping clients' tech strategies and mentoring their teams.
 <br/>
 <br/>
 Your role offers the opportunity to work across industries, influence C-level decisions, and become a leading expert in cutting-edge technologies. You will work hands-on to architect, design, and deliver enterprise-grade software solutions while mentoring client teams to adopt best practices.
 <br/>
 <br/>
 Your role will involve leading multiple development teams, defining short- and long-term technology strategies, and partnering with cross-functional teams to solve complex business challenges. You will also establish metrics and KPIs to drive alignment and ensure the success of engineering-powered solutions.
 <br/>
 <br/>
 Your work will help clients achieve their goals while shaping their technological ecosystems and engineering cultures. By working directly with C-level leaders, you will influence strategic decisions and deliver impact beyond the products you build. You&rsquo;ll also work across a variety of industries and technologies, gaining new insights and expertise with every project.
 <br/>
 <br/>
 You will lead the design and delivery of innovative technology solutions that transform businesses across industries. Based in one of our global locations, you will be part of a multidisciplinary group of software engineers, Agile coaches, designers, and technologists passionate about creating industry-shaping products and tools.
 <br/>
 <br/>
 Your role offers unparalleled opportunities for growth and impact. At McKinsey, you&rsquo;ll have access to C-level leaders eager to hear your expertise, the chance to work on diverse projects, and the resources to become a leading expert in your field. Supported by a collaborative and innovative team, you&rsquo;ll make a lasting impact on clients, industries, and the future of technology.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Undergraduate or master&rsquo;s degree; or equivalent experience
  </li>
  <li>
   8+ years of experience in software development and architecture with a demonstrated track record of successfully understanding the business requirements and designing realistic and effective solutions
  </li>
  <li>
   Active in the tech community (e.g. contributing to open-source projects, speaking at conferences, blogging, etc.) and experience working collaboratively with technical and non-technical team members and stakeholders
  </li>
  <li>
   Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security
  </li>
  <li>
   Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
  </li>
  <li>
   Experience writing unit tests with major frameworks (e.g., Karma, JUnit, NUnit, MSTest) and practicing test-driven development
  </li>
  <li>
   Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  </li>
  <li>
   Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
  </li>
 </ul>
</div>


Principal Software Engineer - Tech & AI

<div><div><div><div><div><div><div>Job ID: 108198</div></div></div></div><div></div><div><ul><div>
Riyadh</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
As a Principal Engineer I, you will lead development teams to design and deliver enterprise-grade software solutions while shaping clients' tech strategies and mentoring their teams.</p><p></p><p>
Your role offers the opportunity to work across industries, influence C-level decisions, and become a leading expert in cutting-edge technologies. You will work hands-on to architect, design, and deliver enterprise-grade software solutions while mentoring client teams to adopt best practices.</p><p></p><p>
Your role will involve leading multiple development teams, defining short- and long-term technology strategies, and partnering with cross-functional teams to solve complex business challenges. You will also establish metrics and KPIs to drive alignment and ensure the success of engineering-powered solutions.</p><p></p><p>
Your work will help clients achieve their goals while shaping their technological ecosystems and engineering cultures. By working directly with C-level leaders, you will influence strategic decisions and deliver impact beyond the products you build. You&rsquo;ll also work across a variety of industries and technologies, gaining new insights and expertise with every project.</p><p></p><p>
You will lead the design and delivery of innovative technology solutions that transform businesses across industries. Based in one of our global locations, you will be part of a multidisciplinary group of software engineers, Agile coaches, designers, and technologists passionate about creating industry-shaping products and tools.</p><p></p><p>
Your role offers unparalleled opportunities for growth and impact. At McKinsey, you&rsquo;ll have access to C-level leaders eager to hear your expertise, the chance to work on diverse projects, and the resources to become a leading expert in your field. Supported by a collaborative and innovative team, you&rsquo;ll make a lasting impact on clients, industries, and the future of technology.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><div><ul><p>
Undergraduate or master&rsquo;s degree; or equivalent experience</p><p>
8+ years of experience in software development and architecture with a demonstrated track record of successfully understanding the business requirements and designing realistic and effective solutions</p><p>
Active in the tech community (e.g. contributing to open-source projects, speaking at conferences, blogging, etc.) and experience working collaboratively with technical and non-technical team members and stakeholders</p><p>
Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security</p><p>
Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities</p><p>
Experience writing unit tests with major frameworks (e.g., Karma, JUnit, NUnit, MSTest) and practicing test-driven development</p><p>
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment</p><p>
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels</p></ul></div></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Cognition

<div><h2 class="jobSectionHeader"><b>We are an applied AI lab building end-to-end software agents.</b></h2><p>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.</p><p>
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.</p><p>
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
As an Account Director, you will be responsible for sourcing, closing and activating enterprise customers, while providing critical product feedback to the Cognition team. You will be a crucial contributor to Cognition&rsquo;s revenue growth and Devin&rsquo;s development.</p><p>
You&rsquo;ll work closely with the whole Cognition team including engineering, product and go-to-market to accelerate the sales cycle and help build one of the fastest-growing AI startups.</p><p>
Successful candidates will have deep experience selling highly technical solutions to businesses, have experience with software engineering and exhibit the drive and grit required to win consistently in a fast-paced, high-intensity environment.</p><p><b>
In this role, you will:</b></p><ul><li><p>
Drive revenue for Cognition, owning the entire sales cycle, from prospecting through close and activation for early stage through enterprise companies</p></li><li><p>
Navigate layered customer organizations including working directly with C-suite executives, Tech and AI leaders, procurement and legal stakeholders</p></li><li><p>
Develop strategies for sourcing, demoing the product, and closing opportunities with layered buying organizations</p></li><li><p>
Deeply understand the customer&rsquo;s technical pain points and priorities, and qualify the best use cases and teams to deploy Devin to large technology organizations</p></li><li><p>
Discover new use cases in our customers&rsquo; Tech organizations and overshare customer feedback with our product and engineering teams</p></li><li><p>
Focus on results - generate pipeline, revenue, and help build the best technical sales organization to bring Devin to market</p></li></ul><p><b>
Requirements for the role:</b></p><ul><li><p>
Demonstrate a track record of success selling deeply technical products to enterprise customers</p></li><li><p>
You have technical experience - either as a software engineer, sales engineer or forward deployed engineer. If not, you have an exceptional ability to learn and understand the complex technical problems and requirements our customers are trying to solve using Devin</p></li><li><p>
Thrive in ambiguous and rapidly changing environments &mdash; you&rsquo;re willing to move fast and quickly grow in scope and responsibility</p></li><li><p>
You have a demonstrated exceptional ability to learn</p></li></ul><p><b>
You might excel if you&hellip;</b></p><ul><li><p>
previously founded a startup</p></li><li><p>
successfully sourced and closed large, complex enterprise software deals
</p></li><li><p>were a software engineer or sales engineer, or studied computer science, but moved into go-to market roles to be closer to the customer</p></li><li><p>
are a competitive, highly ambitious person who loves working in high-intensity environments</p></li></ul><h2 class="jobSectionHeader"><b>
Equal Opportunity</b></h2><p>
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</p></div>

Account Director - KSA

Cognition AI

<div><div><p>Location</p><div>
Riyadh</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Remote</div></div><div><p>
Department</p><div><div>
Sales</div><p>
Account Director</p></div></div></div>
<br><div><div><div><b>We are an applied AI lab building end-to-end software agents.</b></div><p>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.</p><p>
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.</p><p>
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.</p><p></p><p><b>
About the Role</b></p><p>
As an Account Director, you will be responsible for sourcing, closing and activating enterprise customers, while providing critical product feedback to the Cognition team. You will be a crucial contributor to Cognition&rsquo;s revenue growth and Devin&rsquo;s development.</p><p>
You&rsquo;ll work closely with the whole Cognition team including engineering, product and go-to-market to accelerate the sales cycle and help build one of the fastest-growing AI startups.</p><p>
Successful candidates will have deep experience selling highly technical solutions to businesses, have experience with software engineering and exhibit the drive and grit required to win consistently in a fast-paced, high-intensity environment.</p><p><b>
In this role, you will:</b></p><ul><li><div>
Drive revenue for Cognition, owning the entire sales cycle, from prospecting through close and activation for early stage through enterprise companies</div></li><li><div>
Navigate layered customer organizations including working directly with C-suite executives, Tech and AI leaders, procurement and legal stakeholders</div></li><li><div>
Develop strategies for sourcing, demoing the product, and closing opportunities with layered buying organizations</div></li><li><div>
Deeply understand the customer&rsquo;s technical pain points and priorities, and qualify the best use cases and teams to deploy Devin to large technology organizations</div></li><li><div>
Discover new use cases in our customers&rsquo; Tech organizations and overshare customer feedback with our product and engineering teams</div></li><li><div>
Focus on results - generate pipeline, revenue, and help build the best technical sales organization to bring Devin to market</div></li></ul><p><b>
Requirements for the role:</b></p><ul><li><div>
Demonstrate a track record of success selling deeply technical products to enterprise customers</div></li><li><div>
You have technical experience - either as a software engineer, sales engineer or forward deployed engineer. If not, you have an exceptional ability to learn and understand the complex technical problems and requirements our customers are trying to solve using Devin</div></li><li><div>
Thrive in ambiguous and rapidly changing environments &mdash; you&rsquo;re willing to move fast and quickly grow in scope and responsibility</div></li><li><div>
You have a demonstrated exceptional ability to learn</div></li></ul><p><b>
You might excel if you&hellip;</b></p><ul><li><div>
previously founded a startup</div></li><li><div>
successfully sourced and closed large, complex enterprise software deals
</div></li><li><div>were a software engineer or sales engineer, or studied computer science, but moved into go-to market roles to be closer to the customer</div></li><li><div>
are a competitive, highly ambitious person who loves working in high-intensity environments</div></li></ul><p>
Equal Opportunity</p><p>
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</p></div></div><p></p>

Qualcomm

<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; Hardware Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><p>As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.
</p><p></p><p><b>Job Overview
</b></p><p>Qualcomm is expanding its AI Data Center and accelerator platforms to deliver scalable, high-performance systems optimized for AI inference and training workloads. We are seeking a Principal Product &amp; Solutions Architect with deep expertise spanning AI hardware platforms, data center system architecture, customer solutions engineering, and product strategy.
</p><p></p><p>In this role, you will operate as a senior technical authority and customer-facing architect, leading system-level design discussions across AI accelerators, rack-scale platforms, and software enablement, while also shaping product direction and platform roadmaps. You will partner closely with engineering, product management, and customer teams to ensure platforms are technically differentiated, deployable at scale, and aligned with real-world AI workloads.
</p><p></p><p>This role requires 15+ years of experience and operates at a Principal level, with broad influence across silicon, systems, software, and customer engagement.
</p><p></p><p><b>What You&rsquo;ll Do
</b></p><ul><li>Lead system-level architecture and design for AI data center platforms, spanning AI accelerators, host systems, memory, networking, storage, and rack-scale deployments.
</li><li>Act as a trusted technical advisor for strategic customers, driving deep technical discovery, architecture alignment, and solution design across pre-sales and post-sales engagements.
</li><li>Serve as a senior technical interface to translate customer and workload requirements into clear architecture and engineering specifications.
</li><li>Drive hardware&ndash;software co-design, working closely with silicon, platform, and software teams from early architecture through system bring-up, validation, and launch.
</li><li>Define reference architectures for AI inference and training infrastructures, including scale-up, scale-out, and rack-scale configurations.
</li><li>Analyze system performance across compute, memory, interconnect, and storage; identify bottlenecks and guide optimization strategies.
</li><li>Provide architectural guidance on high-density AI deployments, including power, thermal, reliability, and serviceability considerations.
</li><li>Partner with product management to influence platform and silicon roadmaps, leveraging customer feedback, performance data, and ecosystem insights.
</li><li>Support customer pilots, proofs-of-concept, and escalations involving complex multi-component AI systems.
</li><li>Represent Qualcomm in deep technical reviews, executive discussions, and architecture workshops with customers and partners.
</li><li>Lead technical enablement activities including solution workshops, internal training, and platform evangelism.
</li><li>Author and review architecture documentation, reference designs, performance studies, and application notes.
</li><li>Stay current on emerging trends in AI infrastructure, accelerator-based systems, distributed AI, and data center architecture.
</li></ul><p></p><p><b>Required Qualifications
</b></p><ul><li>Bachelor&rsquo;s degree in electrical engineering, Computer Engineering, Computer Science, or related field (or equivalent experience).
</li><li>15+ years of experience across:
</li><li>AI hardware platforms or accelerators
</li><li>Data center / cloud or high-performance computing systems
</li><li>Customer solutions engineering or system architecture roles
</li><li>Strong system-level understanding of AI accelerators, CPUs, memory hierarchy, and high-speed interconnects.
</li><li>Experience designing or enabling rack-scale and cluster-scale AI systems.
</li><li>Hands-on expertise with Linux-based systems, low-level software, drivers, and system bring-up.
</li><li>Proven background in performance benchmarking, workload analysis, and system optimization.
</li><li>Demonstrated ability to bridge engineering depth with customer and product needs.
</li><li>Strong written and verbal communication skills; ability to present complex technical topics clearly to technical and executive audiences.
</li><li>Willingness to travel for customer engagements and strategic reviews.
</li></ul><p></p><p><b>Preferred Qualifications
</b></p><ul><li>Experience of operating at Senior Staff / Principal / Distinguished technical level.
</li><li>Background in customer enablement, solutions architecture, or technical product strategy roles.
</li><li>Experience influencing platform or silicon roadmaps through customer-driven insights.
</li><li>Knowledge of AI inference-optimized, latency-sensitive, or cost-optimized systems.
</li><li>Familiarity with distributed AI, cloud-to-edge architectures, or heterogeneous compute systems.
</li><li>Strong cross-functional leadership skills with a record of mentoring senior engineers.
</li><li>Ability to combine deep technical credibility with business and ecosystem awareness.
</li></ul><p></p><p><b>Why Join Qualcomm
</b></p><p>At Qualcomm, you&rsquo;ll work at the intersection of AI silicon, system architecture, and real-world deployment. 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 technology direction and customer outcomes, 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><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience.
</li></ul>OR
<br>
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience.
<br>
OR
<br>
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.
<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>

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

Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - 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><p><b>About us
</b></p><p>As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
</p><p></p><p><b>Job Overview
</b></p><p>Qualcomm is building a comprehensive Data Center Software Stack and AI Inference Suite to enable customers to deploy, operate, and scale AI inference at rack-scale and cluster-scale. We are seeking a Principal Product &amp; Solutions Architect with deep expertise in systems software, inference platforms, orchestration, runtime integration, and large-scale distributed systems.
</p><p></p><p>In this role, you will operate at the intersection of platform engineering, AI inference serving, Kubernetes orchestration, rack-scale operations, and customer enablement. You will lead architecture and design decisions resulting in production-grade, deployable software stacks, while also shaping roadmap direction based on real customer deployments and workload requirements.
</p><p></p><p>This role requires 15+ years of experience and a proven ability to influence engineering, product, and customer organizations.
</p><p></p><p><b>What You&rsquo;ll Do
</b></p><p>A) Data Center Platform Software (Provisioning Orchestration Operations)
</p><ul><li>Architect and guide implementation of cluster and rack-scale platform software, including node provisioning, lifecycle management, telemetry, monitoring, and certification-grade releases.
</li><li>Define and support Day-2 operations readiness, including operational models, escalation paths, and serviceability considerations.
</li><li>Lead solution architecture for bare-metal and rack management, including secure access, authentication, and identity integration aligned with enterprise requirements.
</li><li>Guide platform networking architecture in collaboration with infrastructure teams, including IP planning, segmentation, and integration with storage and external systems.
</li><li>Establish best practices for deployment automation, configuration management, and operational repeatability across customer environments.
</li></ul><p></p><p>B) AI Inference Suite (Runtime Serving Scale-out)
</p><ul><li>Define and evolve Inference-as-a-Service architectures, integrating runtime libraries, model serving frameworks, and Kubernetes orchestration.
</li><li>Lead architecture for disaggregated and distributed inference to scale workloads across nodes while maintaining predictable latency and throughput.
</li><li>Guide design decisions for multi-instance inference, model placement, accelerator utilization, and scheduling behavior in real-world deployments.
</li><li>Drive architecture for inference traffic routing and load balancing, including gRPC/HTTP-based serving and health-aware request distribution.
</li><li>Lead performance engineering efforts across the software stack, including profiling, benchmarking, and optimization across runtime, serving, networking, and system layers.
</li></ul><p></p><p>C) Product, Architecture &amp; Customer Enablement
</p><ul><li>Translate customer and workload requirements into platform architecture decisions, feature definitions, and roadmap priorities.
</li><li>Lead deep technical discovery engagements with strategic customers, defining proof-of-concepts, success metrics, rollout strategies, and operational readiness checks.
</li><li>Act as a senior technical advisor in architecture reviews, workshops, and executive-level discussions with customers and partners.
</li><li>Collaborate closely with product management to ensure the software stack evolves in alignment with market needs and deployment realities.
</li><li>Create and maintain technical documentation, including architecture diagrams, HLDs/LLDs, deployment guides, sizing guidance, and operational runbooks.
</li></ul><p></p><p><b>Required Qualifications
</b></p><ul><li>Bachelor&rsquo;s degree in computer science, Computer Engineering, Electrical Engineering, or related field (or equivalent practical experience).
</li><li>15+ years of experience delivering production software in one or more of:
</li><li>Data center systems software / platform engineering
</li><li>AI inference serving platforms
</li><li>Large scale distributed or orchestration systems
</li><li>Strong expertise in Linux-based systems, including runtime libraries, platform services, and production deployment practices.
</li><li>Proven experience with Kubernetes-based orchestration for accelerated and heterogeneous workloads.
</li><li>Track record of delivering rack-scale or cluster-scale software platforms with real customer adoption.
</li><li>Deep understanding of scale-out inference architectures, distributed systems behavior, and performance trade-offs.
</li><li>Strong architecture reasoning, documentation, and cross-functional communication skills.
</li></ul><p></p><p><b>Preferred Qualifications
</b></p><ul><li>Experience designing or leading disaggregated inference and serving architectures for modern AI workloads.
</li><li>Hands-on background integrating inference software stacks with model frameworks and deployment tooling.
</li><li>Experience defining operational models, security considerations, and platform readiness for enterprise AI deployments.
</li><li>Prior experience influencing platform or software roadmap decisions through customer engagement and field feedback.
</li><li>Demonstrated ability to mentor senior engineers and act as a recognized technical authority.
</li></ul><p></p><p><b>Why Join Qualcomm
</b></p><p>At Qualcomm, you will help define and deliver a production-grade data center software stack and AI inference platform used by customers at scale. You will work across platform engineering, orchestration, inference runtime and serving, and customer enablement&mdash;shaping architectures that balance performance, operability, security, and scalability. This role offers a unique opportunity to influence end-to-end AI software platforms, from low-level systems to customer-facing solutions, 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><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ 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 7+ years of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
<br>
<br>
<ul><li>4+ 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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