Cloud Machine Learning Engineer - Riyadh, KSA

Company: Qualcomm Middle East Information Technology Company LLC Job Area: Engineering Group, Engineering Group > 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 • Improve and optimize key Deep Learning models on Qualcomm AI 100 • Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories • Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning • Build 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) systems • Optimize the entire deep learning pipeline including graph compiler integration • Apply knowledge of software engineering best practices. Required Skills and Aptitude • Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems • Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design. • Strong proficiency in PyTorch and JIT • Ability to work independently on assigned problem areas, understand requirements, and drive development tasks to completion • Avid problem solver – should be able to find solutions to key engineering and domain problems. • Strong developer with a research mindset – strives to innovate. Preferred Skills • Experiences to run workloads on large scale heterogeneous clusters is a plus • Knowledge of compiler is a plus. • Hands-on experience with CUDA, CUDNN is a plus. • Well versed with open-source development practices. Qualifications • Bachelor'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 Offer Apart from working with great people, we offer the below: • Salary including housing & transport allowance • Stock (RSU's) and performance related bonus • 16 weeks fully paid Maternity Leave • 6 weeks fully paid Paternity Leave • Employee stock purchase scheme • Child Education Allowance • Relocation and immigration support (if needed) • Life and Medical Insurance • Live+ Well Reimbursement for health and recreational membership fees Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 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. • 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. 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