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

CompanyQualcomm Middle East Information Technology Company LLCJob AreaEngineering Group > Software EngineeringGeneral SummaryQualcomm 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 RoleWe 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.Required ExperienceWe are looking for 8+ years Software Engineering or related work experience.Key ResponsibilitiesImprove and optimise key Deep Learning models on Qualcomm AI 100Build deep learning framework extensions for Qualcomm AI 100 in upstream open‑source repositoriesCollaborate and interact with internal teams to analyse and optimise training and inference for deep learningBuild software tools and ecosystem around AI SW StackWork on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference acceleratorOptimise workloads for both scale‑up (multi‑SoC) and scale‑out (multi‑card) systemsOptimise the entire deep learning pipeline including graph compiler integrationApply knowledge of software engineering best practicesRequired SkillsDeep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systemsExcellent C/C++ or Python programming and software design skills, including debugging, performance analysis, and test designVery strong hold on Pytorch and JITWell versed with open‑source development practicesAbility to work independently, define requirements and scope, and lead a development effortMentors and guides team members through influence and example, without direct people‑management responsibilityAvid problem solver – should be able to find solutions to key engineering and domain problemsStrong developer with a research mindset – strives to innovatePreferred SkillsExperiences to run workloads on large scale heterogeneous clusters is a plusKnowledge of compiler is a plusHands‑on experience with CUDA, CUDNN is a plusQualificationsBachelor's / Masters / PhD degree in Engineering, Machine learning / AI, Information Systems, Computer Science, or related field8+ years Software Engineering or related work experience2+ years experience with programming language such as C++, PythonWhat’s On OfferSalary including housing & transport allowanceStock (RSU’s) and performance related bonus16 weeks fully paid Maternity Leave6 weeks fully paid Paternity LeaveEmployee stock purchase schemeChild Education AllowanceRelocation and immigration support (if needed)Life and Medical InsuranceLive+ Well Reimbursement for health and recreational membership feesMinimum QualificationsBachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experienceOR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experienceOR PhD in Engineering, Information Systems, Computer Science, or related field2+ years of academic or work experience with programming language such as C, C++, Java, Python, etc.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 fulfil the principal duties of the role and possesses the required competencies.Equal Opportunity StatementQualcomm 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 o