IoT Solutions Architect - Abu Dhabi, UAE

Company Qualcomm Engineering FZ LLC Job Area Engineering Group, Engineering Group > Software Applications Engineering General Summary About Qualcomm IE‑IoT Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The IE‑IoT business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments. Role Summary The IoT Solutions Architect is a senior, hands‑on technical leadership role responsible for defining, architecting, and delivering end‑to‑end IoT and Edge AI solutions built on Qualcomm platforms. This role sits at the intersection of solution architecture, customer engineering, product management, and ecosystem partnerships, owning reusable solution blueprints that accelerate customer adoption across multiple verticals while serving as a trusted technical advisor to strategic customers. Key Responsibilities Solution Architecture & Technical Leadership • Define and own scalable IoT and Edge AI solution blueprints for priority verticals • Architect end‑to‑end systems spanning on‑device compute, AI acceleration (CV, GenAI, multimodal), connectivity, gateways, edge servers, and hybrid cloud integrations • Produce reference architectures, design guides, and deployment playbooks • Ensure solutions meet production requirements for performance, latency, power, thermals, security, privacy, and scalability Customer & Partner Engagement • Act as technical lead and trusted advisor for strategic customers from discovery through production • Translate business use‑cases and KPIs into system‑level technical architectures • Lead executive‑level architecture reviews and roadmap alignment • Collaborate with OEMs, ISVs, system integrators, and cloud partners • Support POCs, pilots, and commercial launches Hands‑On Prototyping & Validation • Lead system bring‑up, prototyping, benchmarking, and optimization • Integrate workloads such as computer vision, video analytics, AI/ML inference (CNNs, LLMs, VLMs), IoT gateways, and industrial data pipelines • Profile and optimize end‑to‑end behavior across latency, throughput, accuracy, power, and cost on Qualcomm AI‑enabled platforms Hybrid Edge AI Architecture • Design distributed AI architectures across on‑device, on‑prem edge, and cloud • Enable offline/online operation, observability, fleet management, and secure enterprise integration Cross‑Functional Leadership • Partner with Product Management, hardware/software engineering, performance teams, and customer engineering • Feed real‑world deployment insights into platform, SDK, and roadmap improvements • Represent Qualcomm in customer workshops and industry forums Technical Profile • Strong system‑level expertise in IoT, embedded systems, and Edge AI • Hands‑on software experience in Python and/or C/C++ • Experience with Embedded Linux, containers (Docker, Kubernetes), AI frameworks/runtimes (TensorFlow, PyTorch, ONNX, Qualcomm AI tools) • Background in computer vision and/or generative AI inference • Connectivity knowledge: Wi‑Fi, Bluetooth, Ethernet, LTE/5G Preferred Experience • Delivering production IoT or Edge AI systems in customer‑facing roles • Vertical exposure in industrial, smart cities, retail, healthcare, logistics, or public sector • Hybrid edge/cloud architectures • Executive‑level communication and product roadmap influence through deployments 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 8+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience. • 4+ years of experience with Programming Language such as C, C++, Java, Python, etc. • 4+ years of experience with debugging techniques. • 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 [email protected] 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). 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Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience. 4+ years of experience with Programming Language such as C, C++, Java, Python, etc. 4+ years of experience with debugging techniques. 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.

Solution Architecture & Technical Leadership: Define and own scalable IoT and Edge AI solution blueprints for priority verticals; Architect end‑to‑end systems spanning on‑device compute, AI acceleration (CV, GenAI, multimodal), connectivity, gateways, edge servers, and hybrid cloud integrations; Produce reference architectures, design guides, and deployment playbooks; Ensure solutions meet production requirements for performance, latency, power, thermals, security, privacy, and scalability. Customer & Partner Engagement: Act as technical lead and trusted advisor for strategic customers from discovery through production; Translate business use‑cases and KPIs into system‑level technical architectures; Lead executive‑level architecture reviews and roadmap alignment; Collaborate with OEMs, ISVs, system integrators, and cloud partners; Support POCs, pilots, and commercial launches. Hands‑On Prototyping & Validation: Lead system bring‑up, prototyping, benchmarking, and optimization; Integrate workloads such as computer vision, video analytics, AI/ML inference (CNNs, LLMs, VLMs), IoT gateways, and industrial data pipelines; Profile and optimize end‑to‑end behavior across latency, throughput, accuracy, power, and cost on Qualcomm AI‑enabled platforms. Hybrid Edge AI Architecture: Design distributed AI architectures across on‑device, on‑prem edge, and cloud; Enable offline/online operation, observability, fleet management, and secure enterprise integration. Cross‑Functional Leadership: Partner with Product Management, hardware/software engineering, performance teams, and customer engineering; Feed real‑world deployment insights into platform, SDK, and roadmap improvements; Represent Qualcomm in customer workshops and industry forums.