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full stack engineer

Qualcomm

<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

Talents Arena

We are seeking a Staff AI Engineer to serve as a Technical Lead and Lead Practitioner.At the L4 level, you are the &ldquo;Master Builder.&rdquo; You are not just an architect who draws diagrams; you are an expert engineer capable of implementing the entire system end-to-end. From raw data ingestion pipelines, to complex model training loops, down to final API deployment and frontend integration, you understand&mdash;and can implement&mdash;every layer of the stack.You will lead by example. You will architect scalable systems while also getting your hands dirty building them, ensuring the team consistently delivers excellence.Key Responsibilities1. Full-System Implementation &amp; Ownership<ul><li>End-to-End Capability: Possess the technical ability to build the entire AI product. While leveraging the team for speed, you are capable of implementing every component yourself, from database schema design to the inference engine.</li><li>Lead Implementation: Code the most complex features and act as the technical backstop for the team. If a subsystem fails or a model fails to converge, you are the one who fixes it.</li><li>Holistic Engineering: Ensure the entire system works harmoniously. You don&rsquo;t just optimize the model&mdash;you optimize how the model interacts with the database, the network, and the user.</li></ul>2. Technical Architecture &amp; Strategy<ul><li>System Design: Design robust, scalable, and fault-tolerant AI architectures, ensuring all components built by the team fit together seamlessly.</li><li>Technical Roadmap: Translate vague business requirements into concrete, executable engineering tasks.</li><li>Standardization: Establish and enforce engineering standards, including coding styles, testing frameworks, and MLOps tools.</li></ul>3. Technical Leadership &amp; Force Multiplication<ul><li>Mentorship: Elevate Senior and Junior engineers. Code reviews focus not only on correctness, but also on teaching design patterns and architectural thinking.</li><li>Code Review Authority: Act as the standard-bearer for code quality, preventing careless technical debt and ensuring a clean, maintainable codebase.</li></ul>Qualifications &amp; ExpertiseExperience<ul><li>8&ndash;12 years of total technical experience.</li><li>4+ years of deep, hands-on experience building production AI systems.</li><li>Proven track record of taking at least one complex AI product from concept to scale, owning the full technical lifecycle.</li></ul>Technical Competencies<ul><li>Full-Stack AI Fluency: Expert in Python (PyTorch/TensorFlow) with strong proficiency in the surrounding ecosystem, including SQL, API design, Docker, and cloud infrastructure. Able to build both the &ldquo;brain&rdquo; and the &ldquo;wrapper.&rdquo;</li><li>Architectural Vision: Ability to visualize the entire system and understand how decisions in the data pipeline impact frontend latency and user experience.</li><li>Deep Implementation Skills: Comfortable writing complex custom loss functions, optimizing CUDA kernels, and debugging distributed system race conditions.</li><li>Portfolio &amp; Presence: Sharing GitHub and Hugging Face accounts is highly preferred. Active repositories, open-source contributions, or published models are a strong plus.</li></ul>Professional Attributes<ul><li>Total Ownership: Take full responsibility for the success of the technical solution end-to-end.</li><li>Pragmatic Expert: Balance &ldquo;perfect code&rdquo; with &ldquo;shipping on time,&rdquo; without ever compromising system stability.</li></ul>Work Location: In person

Staff AI Engineer

DXC Technology

<div>
 
 
 Job Title: L2 Application Support Technical / Application Support Engineer
 
 
 
 
 
 
 
 Technology Stack:
 
 ReactJS, React Native, Flutter, and Spring Boot
 
 
 
 Role Objective
 
 
 
 
 
 
 The L2 Application Support Technical is responsible for overseeing the day-to-day operations of the technical support team. You will lead the investigation and resolution of complex issues across our web and mobile platforms, ensuring high availability and performance. You will act as the technical authority for the L2 tier, bridging the gap between L1 Support and the L3 Engineering teams.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Advanced Troubleshooting:
 
 Perform deep-dive analysis into application failures across:
 </li>
 <li>
 
 Web:
 
 ReactJS state management, browser compatibility, and UI bugs.
 </li>
 <li>
 
 Mobile:
 
 Debugging React Native and Flutter crashes, platform-specific issues (iOS/Android), and version mismatches.
 </li>
 <li>
 
 Backend:
 
 Investigating Spring Boot logs, API failures, and database performance bottlenecks.
 </li>
 <li>
 
 Incident Management:
 
 Lead "War Room" sessions for P1/P2 incidents. Communicate technical status updates to stakeholders and business owners.
 </li>
 <li>
 
 Root Cause Analysis (RCA):
 
 Conduct thorough RCAs for recurring issues and work with the L3/DevOps teams to implement permanent fixes.
 </li>
 <li>
 
 Monitoring &amp; Observability:
 
 Monitor system health using tools like ELK Stack, Splunk, Datadog, or New Relic. Configure alerts for API latency and mobile app crash rates.
 </li>
 <li>
 
 Knowledge Management:
 
 Maintain and update the technical knowledge base. Ensure support documentation for React, Flutter, and Spring Boot components is accurate.
 </li>
 <li>
 
 Deployment Support:
 
 Assist in the deployment of hotfixes and releases, performing post-release sanity checks across all platforms.
 </li>
 </ul>
 
 
 
 
 
 Required Technical Skills
 
 
 <ul>
 <li>
 
 Frontend &amp; Mobile:
 
 </li>
 <li>
 Hands-on experience debugging
 
 ReactJS
 
 (Redux/Context API).
 </li>
 <li>
 Strong knowledge of mobile frameworks:
 
 React Native
 
 and
 
 Flutter
 
 (handling APK/IPA issues, Firebase Crashlytics).
 </li>
 <li>
 
 Backend:
 
 </li>
 <li>
 Solid understanding of
 
 Spring Boot
 
 architecture (Microservices, REST APIs).
 </li>
 <li>
 Proficiency in Java and JVM monitoring.
 </li>
 <li>
 
 Databases &amp; Tools:
 
 </li>
 <li>
 Strong
 
 SQL
 
 skills for data verification and reporting.
 </li>
 <li>
 Experience with
 
 Postman
 
 for API testing and
 
 Log Aggregation tools
 
 .
 </li>
 <li>
 
 Infrastructure:
 
 Understanding of CI/CD pipelines (Jenkins/GitLab) and Cloud environments (AWS/Azure).
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 Experience:
 
 5-8 years in technical support.
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.
 </li>
 <li>
 
 Soft Skills:
 
 Exceptional problem-solving skills, ability to work under pressure, and clear communication skills in English.
 </li>
 <li>
 
 Certifications:
 
 ITIL Foundation, AWS/Azure certifications, or Java/React certifications are a plus.
 </li>
 </ul>
 
 
 
 
 
 Performance Metrics (KPIs)
 
 
 <ul>
 <li>
 Mean Time to Resolve (MTTR).
 </li>
 <li>
 Percentage of First-Time Fixes.
 </li>
 <li>
 Application Uptime and Crash-free session percentage.
 </li>
 <li>
 SLA Compliance Rate
 </li>
 </ul>
 
 
</div>

Application Support Engineer

Cisco

Meet the Team
 Splunk, a Cisco company, is building a resilient digital world with an end-to-end platform designed for hybrid, multi-cloud environments. We approach our work with kindness, valuing the unique talents, passion, and joy that each team member brings to our collaborative culture. Our team is dedicated to helping organizations reach their best by solving complex business challenges at scale. We foster an environment of inclusiveness, disruption, and fun, ensuring that every member feels supported as they reach new heights.
 
Your Impact
 
As an Observability Solutions Engineer, you play a crucial role in the pre-sales process, partnering with Sales to deliver technical expertise on Splunk’s observability solutions.
 
<ul>
<li>Establish and proactively maintain positive relationships with clients and partners.</li>
<li>Collaborate closely with account teams to align with sales strategies, providing support through briefings, demos, proposals, Proof of Values (POVs), integrations, and issue resolution for Splunk’s observability portfolio.</li>
<li>Engage directly with customers to understand their IT challenges and business objectives, mapping these to Splunk product capabilities.</li>
<li>Demonstrate Splunk’s observability products and services onsite, remotely via webinars, and at field events such as conferences and trade shows.</li>
<li>Apply organized and analytical approaches to overcome sales obstacles creatively and adaptively.</li>
<li>Contribute to a dynamic technical organization with a rapidly growing customer base.</li>
</ul>
Minimum Qualifications
 
<ul>
<li>Proven experience in technical sales, pre-sales, or solution engineering within Enterprise Software, ITOps, Cybersecurity, or Financial Services sectors.</li>
<li>Demonstrated ability to deliver technical product demonstrations to customers in person, via webinars, or at industry events.</li>
<li>Prior experience with Splunk, AppDynamics, or equivalent APM (Application Performance Monitoring) technology stack, alongside data platforms such as Splunk Cloud/Enterprise.</li>
<li>Hands-on experience conducting proof of value engagements leveraging observability tools, including Splunk AppDynamics, for application performance, hybrid monitoring, and digital resilience.</li>
<li>Experience working with financial sector clients, understanding their regulatory, security, and operational requirements.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Experience with modern application architectures including Kubernetes, Docker, or serverless technologies. Knowledge of digital experience monitoring, including synthetics and real-user monitoring tools. Splunk AppDynamics/Observability Cloud certifications are a plus.</li>
<li>Familiarity with Splunk Observability Cloud, AppDynamics, or equivalent platform architecture, deployment, configuration, and troubleshooting, including setting up baselines, health rules, and proactive monitoring strategies.</li>
<li>Proficiency in modern programming languages such as Python, Java, or Go.</li>
<li>Knowledge of AI tools and concepts, including LLMs, GenAI frameworks, or Time Series models, relevant to observability and security analytics.</li>
<li>Knowledge of security operation standards and frameworks. Attainment of Splunk Enterprise Security Admin certification or other cybersecurity industry certifications (e.g., CISSP, SANS Cybersecurity) is highly desirable.</li>
<li>Understanding of digital resilience strategies and how observability and security solutions integrate to support business continuity in financial services.</li>
</ul>
Nature of the Work: Hybrid Full Time
 Hours of work: 48 hours per week
 Benefits: Healthcare and Insurance, Employee Stock Purchase program, Flexible Spending Benefit, Flex and Schooling Allowances and many more.
 Application start and end date: Starting xxxx for approx. 4-6 weeks
 
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.
 
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.

Splunk Solutions Engineer - Saudi

McKinsey & Company

<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> 
</div></div></div></div><div>
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.<div>
YOUR IMPACT<div><div>
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.</div></div></div><div>
YOUR GROWTH<div>
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:<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>
YOUR QUALIFICATIONS AND SKILLS<div><div><div><ul>
Undergraduate or master&rsquo;s degree; or equivalent experience
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
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
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
Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
Experience writing unit tests with major frameworks (e.g., Karma, JUnit, NUnit, MSTest) and practicing test-driven development
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
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</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>

Principal Software Engineer - QuantumBlack, AI by McKinsey

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 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 seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.
 
 
 
 We are looking for 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>
 
 Desirable Skills And Aptitudes
 
 
 
 
 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>
 Very strong hold on Pytorch and JIT.
 </li>
 <li>
 Well versed with open-source development practices.
 </li>
 <li>
 Ability to work independently, define requirements and scope, and lead a development effort.
 </li>
 <li>
 Mentors and guides team members through influence and example, without direct people‑management responsibility
 </li>
 <li>
 Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
 </li>
 <li>
 Strong developer with a research mindset &ndash; strives to innovate.
 
 
 
 </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>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
 </li>
 <li>
 8+ years Software Engineering or related work experience.
 </li>
 <li>
 2+ years experience with Programming Language such as C++, Python.
 
 
 
 </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).
 
 
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</div>

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

TAWANTECH

<div>JOB PURPOSE &amp; SUMMARY
The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
strategies. The successful candidate will design robust predictive frameworks and build self-service
visualization assets to guide corporate decision-making.
KEY RESPONSIBILITIES<ul><li>Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product</li></ul>
affinity.<ul><li>Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey</li></ul>
friction points, and engagement lifecycle stages.<ul><li>Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly</li></ul>
measure marketing ROI and portfolio performance.<ul><li>Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,</li></ul>
real-time metrics for executive leadership.<ul><li>Extract, clean, and manipulate heavy transactional and profile records from central enterprise data</li></ul>
warehouses.<ul><li>Act as an analytical business partner, converting data findings into commercial recommendations for</li></ul>
product development and marketing departments. 
Requirements 
JOB REQUIREMENTS &amp; QUALIFICATIONS<ul><li>Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity.</li><li>Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive</li></ul>
statistical teams, or sophisticated commercial analysis environments.<ul><li>Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/</li></ul>
data manipulation and Python for statistical modeling.<ul><li>Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual</li></ul>
dashboards in Power BI or Tableau.<ul><li>Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity</li></ul>
modelling) and executing behavioral analytics tracks.</div>

Data Analytics / Customer Intelligence Specialist

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