receptionist people with disabilities

Noir KSA

IMPORTANT READ: ONLY APPLICANTS CURRENTLY LOCATED IN SAUDI ARABIA AND WITH PHOTO ON THEIR CV WILL BE SCREENED FOR INTERVIEW.Position: Hostess / ReceptionistSalary: SAR 3,000 to SAR 3,500 (based on knowledge and skills ) PLUS free shared accommodation, to and from work transportation, and 1 duty mealLocation: Laysen Valley, Umm Al Hamam, RiyadhJob Description: The Hostess / Receptionist serves as the first point of contact for all guests, ensuring a warm, elegant, and seamless welcome experience. In a luxury caf&eacute; environment, this role is responsible for maintaining the highest standards of hospitality, managing guest flow, coordinating reservations, and supporting overall guest satisfaction. The hostess represents the brand&rsquo;s image and plays a key role in creating a refined and memorable atmosphere.Duties and Responsibilities:<ul><li>Welcome and greet guests warmly, ensuring a luxurious first impression.</li><li>Manage reservations and walk-ins, maintaining accurate seating arrangements and guest flow.</li><li>Escort guests to tables and communicate special requests or needs to the service team.</li><li>Maintain the reception and entrance area, keeping it clean, organized, and visually appealing.</li><li>Coordinate with waitstaff and management for smooth seat rotations and timely service.</li><li>Handle guest inquiries and phone calls using proper etiquette and product knowledge.</li><li>Address guest concerns politely, escalating issues to management when necessary.</li><li>Monitor waiting times and provide clear, courteous updates to waiting guests.</li><li>Support caf&eacute; operations during opening, closing, special events, and promotional activities.</li><li>Uphold grooming, hygiene, and service standards, representing the caf&eacute;&rsquo;s luxury image at all times.</li></ul>Basic Requirements:<ul><li>Experience (but not required) in hospitality, preferably in a luxury caf&eacute;, hotel, or fine dining environment.</li><li>Excellent communication skills in English; Arabic is an advantage.</li><li>Strong customer service skills, with the ability to remain calm, polished, and welcoming under pressure.</li><li>Professional appearance and grooming, suited for a luxury brand environment.</li><li>Familiarity with reservation systems and basic computer skills (POS, booking platforms, Microsoft Office).</li></ul>Job Types: Full-time, PermanentPay: ﷼3,000.00 - ﷼3,500.00 per monthApplication Question(s):<ul><li>IMPORTANT READ: ONLY APPLICANTS CURRENTLY LOCATED IN RIYADH, SAUDI ARABIA AND WITH PHOTO ON THEIR CV WILL BE SCREENED FOR INTERVIEW.</li><li>1. In which city and country are you currently located?</li><li>2. Which country passport do you have?</li><li>3. How old are you right now? (Age)</li><li>4. How tall are you? (Your height)</li><li>5. If hired for this role, after how many days you can join our company?</li><li>6. Have you read the job description and salary that we mentioned for this role?</li><li>7. How many years of experience working in face-to-face customer service do you have?</li></ul>Work Location: In person

Receptionist / Hostess - FEMALE ONLY

MillerKnoll

<div>
 
 Why join us?
 
 
 
 Our purpose is design for the good of humankind. It&rsquo;s the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone.
 
 
 
 Job Description &ndash; Office Administrator KSA
 
 
 
 
 Purpose of the job
 
 
 
 To provide sales and administrative support to the KSA based sales team. To ensure the showroom is well presented at all times.
 
 
 
 Specific Responsibilities
 
 
 
 Manage back-of-house functions and support the day-to-day operations of the KSA entity, including all office-related activities. Handle incoming calls and emails directed to MillerKnoll KSA, ensuring timely and professional responses. Ensure an exceptional customer experience by maintaining high service standards across all touchpoints. Oversee daily office requirements, including purchasing supplies, stationery, CMF materials, software, and miscellaneous equipment. Coordinate local and international shipments using the FedEx software manager. Act as the primary point of contact for the IT department regarding office-related IT issues. Assist with hotel and travel arrangements for the team as required. Maintain an up-to-date log of monthly attendance and annual leave records in Excel and share it with the Administration Manager. Support Dealers and Market Managers with project tracking and CRM activities; Salesforce.com experience is preferred. Provide support to Dealers and Market Managers by managing company portal activities and delivering administrative assistance as required. Navigate government and company portals to ensure smooth issuance of PRO/GRO requests and collaborate with local service partners to facilitate required processes relating to MillerKnoll KSA
 
 
 
 Resource management
 
 
 
 Financial:
 
 
 None
 
 
 Human:
 
 
 None
 
 
 
 Contacts and relationships
 
 
 
 Internal contacts:
 
 
 Sales Staff and Managers
 
 
 HM Staff throughout International and the US
 
 
 External contacts:
 
 
 Clients
 
 
 Dealers
 
 
 
 Person profile
 
 
 
 
 Education And Experience
 
 
 
 Essential:
 
 
 Good level of Education
 
 
 Excellent English &ndash; spoken and written
 
 
 Fluency in verbal and written Arabic is preferred.
 
 
 Experience of administration/sales support
 
 
 
 Competences
 
 
 
 Essential:
 
 
 Able to communicate effectively at all levels, by telephone and face-to-face
 
 
 Computer skills &ndash; word, excel and email
 
 
 Good organisational skills
 
 
 Good level of financial awareness
 
 
 
 Characteristics
 
 
 
 Essential:
 
 
 Very professional, friendly and confident
 
 
 Well presented and smartly dressed
 
 
 Able to keep work area tidy at all times
 
 
 Able to deal with irate customers with confidence and to keep a &ldquo;calm approach&rdquo; at all times of stress
 
 
 Happy to work on own initiative.
 
 
 Flexible
 
 
 Mature attitude essential
 
 
 
 Who We Hire?
 
 
 
 Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We&rsquo;re committed to equal opportunity employment, including veterans and people with disabilities.
 
 
 MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_help@millerknoll.com.
</div>

Office Administrator

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 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).
 
 
 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>

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

Cognition

<div>
 
 We are an applied AI lab building end-to-end software agents.
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 About The Role
 
 
 
 We are seeking a highly organised, internationally minded HR and Recruiting Coordinator to support recruiting and people operations across
 
 MENA and APAC markets
 
 . Based in Riyadh, this role will work closely with recruiters, hiring managers, and People teams globally to deliver a consistent, high quality candidate and employee experience. We are initially hiring on contract with the chance to go permanent after 6 months.
 
 
 This is an excellent opportunity for a Saudi national looking to build an international HR or talent career within a high growth technology company, with exposure far beyond a single market.
 
 
 
 Key Responsibilities
 
 
 
 
 International Recruiting Coordination
 
 
 
 <ul>
 <li>
 Coordinate and schedule interviews across MENA, APAC, Europe, and the US, managing multiple time zones with accuracy and urgency
 </li>
 <li>
 Serve as a primary point of contact for candidates across international markets
 </li>
 <li>
 Ensure a consistent and high quality candidate experience from initial contact through offer stage
 </li>
 <li>
 Track candidate progress in the ATS, ensuring data accuracy and timely updates
 </li>
 <li>
 Support recruiters with interview logistics, feedback collection, and offer coordination for international hires
 
 
 </li>
 </ul>
 
 International HR and People Operations
 
 
 
 <ul>
 <li>
 Support onboarding for new hires across MENA and APAC, working closely with local partners and international People Ops teams
 </li>
 <li>
 Assist with offboarding processes and employee lifecycle updates across regions
 </li>
 <li>
 Maintain accurate employee data across HR systems for international populations
 </li>
 <li>
 Support compliance tracking in partnership with local advisors and internal stakeholders
 </li>
 <li>
 Help operationalise global people policies while respecting local market requirements
 
 
 </li>
 </ul>
 
 Operational Excellence and Scale
 
 
 
 <ul>
 <li>
 Partner with the International People team to standardise and improve global recruiting and HR workflows
 </li>
 <li>
 Support reporting on international hiring activity, time to hire, and operational metrics
 </li>
 <li>
 Identify process gaps across regions and contribute to scalable, repeatable solutions
 </li>
 <li>
 Assist with cross regional people initiatives as Cognition expands globally
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Saudi national (required)
 </li>
 <li>
 Bachelor&rsquo;s degree in HR, Business Administration, or a related discipline
 </li>
 <li>
 1&ndash;3 years of experience in recruiting coordination, HR operations, or international people support
 </li>
 <li>
 Experience supporting multiple regions or working across time zones is highly desirable
 </li>
 <li>
 Strong organisational skills with exceptional attention to detail
 </li>
 <li>
 Comfortable working with ATS and HRIS platforms (Lever, Greenhouse, Workday, or similar preferred)
 </li>
 <li>
 Excellent written and verbal communication skills in English and Arabic
 </li>
 <li>
 Professional, discreet, and confident working with confidential information
 </li>
 <li>
 Adaptable, proactive, and comfortable operating in a fast paced, global environment
 
 
 </li>
 </ul>
 
 Why Join Cognition
 
 
 
 <ul>
 <li>
 International exposure across MENA and APAC markets
 </li>
 <li>
 Direct partnership with global People and Talent leadership
 </li>
 <li>
 Opportunity to build a long term international HR career from Riyadh
 </li>
 <li>
 Involvement in scaling a world class AI company globally
 </li>
 <li>
 Strong scope for role expansion as international operations grow
 
 
 </li>
 </ul>
 Equal Opportunity
 
 
 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>

HR Operations & Recruiting Coordinator (Contract)

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Systems Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 
 .
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 
 About The Role
 
 
 
 
 The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
 
 
 We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on.
 
 
 Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
 
 
 
 We are looking for candidates with12+ years Systems Engineering or related work experience
 
 
 
 
 
 Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
 </li>
 <li>
 Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
 </li>
 <li>
 Analyze and identify system level integration issues, interface with the software development, integration and test teams.
 </li>
 <li>
 Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
 </li>
 <li>
 Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
 </li>
 <li>
 12+ years Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 <ul>
 <li>
 Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
 </li>
 <li>
 Has experience in model level optimization using techniques like torch compile.
 </li>
 <li>
 Expertise in model architecture, backed by literature rationale and intuition
 </li>
 <li>
 Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
 </li>
 <li>
 Expertise in Model training and inference workflows.
 </li>
 <li>
 Hands-on Experience in C/C++, Python development (5+ years)
 </li>
 <li>
 Hands-on Experience with Object Orientated Design, and software development practices in general
 </li>
 <li>
 Experience with Source Code and Configuration management tools, git knowledge is required
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications And Aptitudes
 
 
 
 
 <ul>
 <li>
 Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
 </li>
 <li>
 Experience in neural network architectures + ML compiler workload synthesis, a plus
 </li>
 <li>
 Prior working experience of hardware accelerators and hardware software co-design
 </li>
 <li>
 Experience of profiling software and optimization techniques
 </li>
 <li>
 Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms.
 </li>
 <li>
 A research mindset with expertise in software development
 
 
 
 </li>
 </ul>
 
 
 What's On Offer
 
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
 
 
 <ul>
 <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>

Model Accuracy and AI Performance, Senior Staff 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>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Systems Engineering
 
 
 
 General Summary
 
 
 
 
 About Us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 
 .
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 About The Role
 
 
 
 As a Qualcomm Datacenter AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology.
 
 
 Qualcomm Solution Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications.
 
 
 
 Principal Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI/ML solutions leveraging Qualcomm AI hardware, software, and ecosystem to deliver high-performance, power‑efficient, and scalable inference
 </li>
 <li>
 Develop and deploy GenAI and LLM-based applications, including model integration, fine-tuning, and optimization
 </li>
 <li>
 Apply systems-level knowledge to analyze, design, implement, and validate AI software, models, and system architecture
 </li>
 <li>
 Perform AI model benchmarking, functional analysis, and performance characterization to drive requirements and improvements
 </li>
 <li>
 Support customer engagements by optimizing AI models and workloads for deployment and inference efficiency
 </li>
 <li>
 Contribute to system-level design efforts, including requirements definition, interfaces, performance targets, and implementation
 </li>
 <li>
 Collaborate closely with cross-functional teams to implement, test, and validate AI system features
 </li>
 <li>
 Debug and triage system-level issues, perform root-cause analysis, and communicate findings clearly
 </li>
 <li>
 Stay current with advancements in AI/ML models, tools, and hardware, and apply innovative ideas to products and solutions
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Engineering, Computer Science, Information Systems, or a related field
 </li>
 <li>
 Proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture
 </li>
 <li>
 Hands-on experience building, deploying, and tuning AI/ML systems
 </li>
 <li>
 Strong understanding of GenAI architectures (e.g., transformers, diffusion models, LLMs, embeddings)
 </li>
 <li>
 Experience with large-scale AI system design, including distributed systems, fault tolerance, and event-driven architectures
 </li>
 <li>
 Familiarity with MLOps practices and ML lifecycle management
 </li>
 <li>
 Experience with containerization and automation tools (Docker, Kubernetes, Git/GitOps)
 </li>
 <li>
 Experience with model fine-tuning and/or reinforcement learning is a plus
 </li>
 <li>
 Familiarity with observability, benchmarking, and performance analysis for ML pipelines is a plus
 </li>
 <li>
 Experience working in large, matrixed organizations and collaborating across teams
 </li>
 <li>
 Strong problem-solving skills and customer-focused mindset
 </li>
 <li>
 Experience with open-source development practices
 
 
 
 </li>
 </ul>
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
 
 
 <ul>
 <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>

Datacenter AI Solutions Engineer (Customer Engagement) – Riyadh, KSA

Explore 496+ Receptionist people with disabilities in Riyadh this July. Find roles across top companies and apply now to boost your career.