Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

<div><p><b>Company:</b>Qualcomm Middle East Information Technology Company LLC</p><p><b>Job Area:</b>Engineering Group, Engineering Group>Systems Engineering</p><h3>General Summary</h3><p>About us</p><p>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.</p><h3>About the role</h3><p>The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.</p><p>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.</p><p>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.</p><p>We are looking for candidates with 12+ years Systems Engineering or related work experience.</p><h3>Responsibilities</h3><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><h3>Minimum Qualifications</h3><ul><li>Bachelor’s degree in engineering, Information Systems, Computer Science, or related field.</li><li>12+ years Systems Engineering or related work experience.</li></ul><h3>Required Qualifications</h3><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><h3>Preferred Qualifications and Aptitudes</h3><ul><li>Willingness to work in a cohesive software development environment with ability to work on low level implementation (code&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><h3>What's on Offer</h3><ul><li>Salary including housing&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><h3>Minimum Qualifications (Reite