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artificial intelligence engineer Jobs in Riyadh

artificial intelligence engineer

principal software engineer - quantumblack, ai by mckinsey Jobs in Riyadh

ai / ml engineer

principal software engineer quantumblack ai by mckinsey

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 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.
 
 
 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.
 
 
 When you join us, you will have:
 
 
 <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>
 
 Your Impact
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 Your Qualifications and Skills
 
 
 
 <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 - QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 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.
 
 
 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.
 
 
 When you join us, you will have:
 
 
 <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>
 
 Your Impact
 
 
 
 As a Software Engineer with Tech &amp; AI at McKinsey, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
 
 
 You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
 
 
 You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
 
 
 As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
 
 
 Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
 
 
 You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
 
 
 McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
 
 
 You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
 
 
 While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
 
 
 Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
 
 
 Changing the world requires us to sit with our clients at times, so some travel is expected in this role.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate or master&rsquo;s degree; or equivalent experience
 </li>
 <li>
 5+ years of experience in software development, with significant full-stack web application development experience strongly preferred
 </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
 </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 working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness
 </li>
 </ul>
</div>

Software Engineer II - QuantumBlack, AI by McKinsey

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region . As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
About the Role
Qualcomm is seeking Senior and Staff Software Engineers to contribute to the development and operation of rack management software for AI accelerator products deployed in large-scale data centre environments. This role is hands-on and execution-focused, emphasizing high-quality implementation, debugging, testing, and operational support of infrastructure software that runs close to hardware.
You will collaborate closely with lead engineers and architects across multiple sites, participate in design discussions and reviews, and take on design-ownership roles, while focusing primarily on implementing defined designs, investigating complex issues, and ensuring reliable, secure software behaviour in production environments.
In this role, you will work on software responsible for provisioning, monitoring, orchestration, and lifecycle management of rack‑scale AI systems. You will be expected to take strong ownership of the code you deliver &mdash; from implementation and validation through deployment and debugging in real‑world data center conditions.
This position is well‑suited for a senior engineer who thrives in a distributed team model, communicates effectively across sites, and takes pride in deep technical debugging, system understanding, and operational excellence, even when architectural direction is defined elsewhere.
At the Staff level, the engineer is expected to drive implementation of the designs assigned to the local engineering team and provide guidance and mentorship to junior engineers.
Key Responsibilities will include
<ul><li>Implement, test, and maintain software solutions for rack provisioning, monitoring, and workload deployment
</li><li>Interface with rack hardware (BMC, PDU, CDU, PCIe switches) using Redfish, SNMP, and IPMI protocols.
</li><li>Integrate rack management software with orchestration platforms (e.g., Kubernetes, Terraform, Foreman).
</li><li>Collaborate with ODMs, ISVs, and internal teams to define and deliver scalable rack software solutions.
</li><li>Develop dashboards and unified telemetry pipelines using Prometheus and Grafana.
</li><li>Support firmware updates, crash dump parsing, and remote diagnostics across rack components.
</li><li>Ensure secure boot, VLAN separation, and QoS enforcement for multi-tenant environments.
</li><li>Contribute to software EBOM and protocol documentation with Pegatron and other partners.
</li><li>Write high‑quality, secure, and maintainable code following established coding standards and best practices.
</li><li>Participate in design discussions and reviews, providing implementation‑focused feedback on feasibility, performance, reliability, and maintainability.
</li><li>Own debugging and root‑cause analysis of complex issues across development, integration, and production environments, including deployed systems.
</li><li>Collaborate closely with architects, lead engineers, hardware, firmware, and platform teams to ensure correct system behavior and smooth integration.
</li><li>Implement observability features such as logging, metrics, and tracing to support troubleshooting and operational reliability.
</li><li>Contribute towards documentation, runbooks, and operational procedures related to the software you own or support.
</li><li>Participate in code reviews, testing efforts, and continuous improvement of build, test, and deployment pipelines.
</li></ul>Required Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Electrical or Computer engineering, Computer Science, Information Systems, or a related field and 5+ years of software engineering experience
</li><li>Experience in infrastructure software development
</li><li>Proficiency in Python, C++, and shell scripting.
</li><li>Experience with Redfish APIs and DCIM tools.
</li><li>Understanding of server hardware, networking, and storage systems.
</li><li>Strong written and verbal communication skills for working effectively in a multi‑site, globally distributed team.
</li></ul>Preferred Qualifications
<ul><li>Experience with Node.js is a plus.
</li><li>Experience with Rack Management tools.
</li><li>Knowledge of AI workload orchestration tools (e.g., K8s, RKE2).
</li><li>Experience with tools like Prometheus and Grafana.
</li><li>Familiarity with rack-level lifecycle management.
</li><li>Familiarity with Foreman, Ansible, Chef, and Puppet for provisioning and configuration
</li><li>Working knowledge in GoLang is a plus
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Rack SW AI Infrastructure Management (AIMS), UI, Orchestration & Lifecycle Management & Networking Engineer - Riyadh, KSA

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About Us
 
 
 
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
 
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 
 About The Role
 
 
 
 
 We are seeking a Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This role involves designing, delivering, and supporting end-to-end AI services, agentic workflows, and fine-tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large-scale data center environments.
 
 
 You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
 
 
 
 
 Key Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
 </li>
 <li>
 Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
 </li>
 <li>
 Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
 </li>
 <li>
 LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
 </li>
 <li>
 SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
 </li>
 <li>
 Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
 </li>
 <li>
 Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
 </li>
 <li>
 Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
 </li>
 <li>
 Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
 </li>
 <li>
 Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
 </li>
 <li>
 Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 5+ years of software engineering experience; 3+ years in ML or HPC environments.
 </li>
 <li>
 Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
 </li>
 <li>
 Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
 </li>
 <li>
 Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
 </li>
 <li>
 Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 Experience building inference and fine-tuning pipelines, as well as agentic workflows.
 </li>
 <li>
 Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
 </li>
 <li>
 Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
 </li>
 <li>
 Contributions to inference and GenAI model performance optimization.
 
 
 
 </li>
 </ul>
 
 
 What's On Offer
 
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

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

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
About the role
We are looking for strong technical and analytical skills in C++/Python‑based AI development in a Linux environment. Ability to work effectively as part of a team, take ownership of assigned tasks or features, and independently drive implementation within a defined technical scope.
We are looking for 2-8 years Software Engineering or related work experience 
 
 
Key Responsibilities will include
<ul><li>Improve and optimize key Deep Learning models on Qualcomm AI 100
</li><li>Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
</li><li>Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
</li><li>Build software tools and ecosystem around AI SW Stack.
</li><li>Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
</li><li>Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
</li><li>Optimize the entire deep learning pipeline including graph compiler integration
</li><li>Apply knowledge of software engineering best practices. 
 
</li></ul>Required Skills and Aptitude
<ul><li>Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
</li><li>Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
</li><li>Strong proficiency in PyTorch and JIT
</li><li>Ability to work independently on assigned problem areas, understand requirements, and drive development tasks to completion
</li><li>Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
</li><li>Strong developer with a research mindset &ndash; strives to innovate.
</li></ul>Preferred Skills
<ul><li>Experiences to run workloads on large scale heterogeneous clusters is a plus
</li><li>Knowledge of compiler is a plus.
</li><li>Hands-on experience with CUDA, CUDNN is a plus.
</li><li>Well versed with open-source development practices.
</li></ul>Qualifications
<ul><li>Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
</li><li>3+ years Software Engineering or related work experience.
</li><li>2+ years experience with Programming Language such as C++, Python.
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Cloud Machine Learning Engineer - Riyadh, KSA

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking a skilled AI / ML Engineer with 3&ndash;11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><ul><li>
Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker.</li><li>
Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions.</li><li>
Experience with BigQuery ML and Dataflow for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><ul><li>
Strong proficiency in Python.</li><li>
Experience developing machine learning solutions using TensorFlow or PyTorch.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><ul><li>
Experience with Hugging Face and LangChain for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><ul><li>
Experience with Databricks for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>
3&ndash;11 years of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker</li><li>
Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs)</li><li>
Data Processing: BigQuery ML and Dataflow and Databricks</li><li>
Programming: Python</li><li>
Machine Learning Frameworks: TensorFlow or PyTorch</li><li>
LLM Frameworks: Hugging Face or LangChain</li><li>
MLOps: Docker and Kubernetes and CI/CD (Preferred)</li></ul>
kmeseaCmpf</div>

AI / ML Engineer

Cognition AI

<div><div><h2 class="jobSectionHeader">Location</h2>
Riyadh; Doha; Dubai
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
Remote
</div><div><h2 class="jobSectionHeader">Department</h2>
SalesApplied AI</div></div>
 <div><div><h2 class="jobSectionHeader">We are an applied AI lab building end-to-end software agents.</h2>
We're the makers of Devin, the first AI software engineer.
Our team is extremely 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.
Building Devin 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.
<h2 class="jobSectionHeader">About the Role</h2>
Applied AI Transformation Managers are technically oriented strategic advisors and operators who ensure value alignment to our customer's most strategic projects and drive program delivery across several strategic accounts. You&rsquo;ll be responsible for identifying strategic opportunities for our customers to realize value from Cognition&rsquo;s platform and ensuring strong value capture and reporting. You will support delivery of enterprise wide programs to implement agentic AI, specifically by designing and building the operating model and delivery model for agentic AI.
You&rsquo;ll act as a trusted advisor to senior and functional leaders, designing value realization targets and delivering transformation programs. This role embeds with a select set of Cognition&rsquo;s strategic accounts for upfront strategy work through in-depth program management and delivery. You will be on the frontlines of supporting customers turning productivity gains and quantifiable financial impact. You will pioneer the playbook for how the world&rsquo;s largest enterprises get value from AI Agents.
In this role, you will:
<ul><li>Work with customer leadership to identify, quantify and report value targets for productivity gains and financial impact
</li><li>Ensure seamless operations and delivery for the overall customer program, in close partnership with the Cognition account team
</li><li>Ensure everyone at customer and Cog has visibility on playbook implementation, consumption metrics and value metrics
</li><li>Maintain great relationships and customer trust via delivery
</li><li>Oversee onboarding and rollout to thousands of engineers, ensuring successful deployment
</li><li>Apply world class analytical and technical program management skills to support customer executives and teams, particularly with value realization and tracking
</li><li>Build centers of excellence within accounts and empower them through tailored enablement programs
</li></ul>Requirements for the role:
<ul><li>Computer science or EE undergrad
</li><li>SWE intern or full time work experience
</li><li>3-5 years at a big 3 strategy consulting firm with a strong background in value targeting and realization and technology strategy as well as a proven track record building and expanding client relationships
</li><li>Ideally 2+ years experience at a startup in a customer facing role preferred
</li><li>Thrive in ambiguous, fast-changing environments&mdash;you move quickly and grow quickly
</li><li>Demonstrated ability to learn exceptionally fast
</li></ul>You might excel if you&hellip;
<ul><li>have successfully been a part of complex enterprise teams, especially sourcing and managing account growth
</li><li>have worked as a software engineer, SE, technical account manager or other technical role
</li><li>previously founded a startup or were early stage at a high growth startup
</li><li>are a competitive, highly ambitious person who loves working in high-intensity environments 
 
</li></ul><h2 class="jobSectionHeader">Equal Opportunity</h2>
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.</div></div>

Applied AI Transformation Manager - MENA

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