Senior Cloud Machine Learning Engineer - Riyadh, KSA

Company: Qualcomm Middle East Information Technology Company LLCJob Area: Engineering Group, Engineering Group > Software EngineeringGeneral SummaryAbout UsQualcomm 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 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 experienceKey ResponsibilitiesImprove and optimize 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 analyze and optimize training and inference for deep learningBuild software tools and ecosystem around AI SW Stack.Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.Optimize workloads for both scale‑up (multi‑SoC) and scale‑out (multi‑card) systemsOptimize the entire deep learning pipeline including graph compiler integrationApply knowledge of software engineering best practices.Required Skills and AptitudeDeep 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 design.Strong proficiency in PyTorch and JITAbility to work independently on assigned problem areas, understand requirements, and drive development tasks to completionAvid problem solver – should be able to find solutions to key engineering and domain problems.Strong developer with a research mindset – strives to innovate.Preferred SkillsExperiences to run workloads on large scale heterogeneous clusters is a plusKnowledge of compiler is a plus.Hands‑on experience with CUDA, CUDNN is a plus.Well versed with open‑source development practices.QualificationsBachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.3+ years Software Engineering or related work experience.2+ years experience with Programming Language such as C++, Python.What'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 experience.Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.PhD in Engineering, Information Systems, Computer Science, or related field.2+ 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 fulfill the principal duties of the role and possesses the required competencies.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, t