IoT Solutions Engineering Lead - Abu Dhabi, UAE

Company: Qualcomm Engineering FZ LLCJob Area: Engineering Group, Engineering Group > Software Applications EngineeringGeneral SummaryAbout Qualcomm IE‑IoTQualcomm 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 SummaryThe IoT Solutions Engineering Lead 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 ResponsibilitiesSolution Architecture & Technical LeadershipDefine and own scalable IoT and Edge AI solution blueprints for priority verticalsArchitect end‑to‑end systems spanning on‑device compute, AI acceleration (CV, GenAI, multimodal), connectivity, gateways, edge servers, and hybrid cloud integrationsProduce reference architectures, design guides, and deployment playbooksEnsure solutions meet production requirements for performance, latency, power, thermals, security, privacy, and scalabilityCustomer & Partner EngagementAct as technical lead and trusted advisor for strategic customers from discovery through productionTranslate business use‑cases and KPIs into system‑level technical architecturesLead executive‑level architecture reviews and roadmap alignmentCollaborate with OEMs, ISVs, system integrators, and cloud partnersSupport POCs, pilots, and commercial launchesHands‑On Prototyping & ValidationLead system bring‑up, prototyping, benchmarking, and optimizationIntegrate workloads such as computer vision, video analytics, AI/ML inference (CNNs, LLMs, VLMs), IoT gateways, and industrial data pipelinesProfile and optimize end‑to‑end behavior across latency, throughput, accuracy, power, and cost on Qualcomm AI‑enabled platformsHybrid Edge AI ArchitectureDesign distributed AI architectures across on‑device, on‑prem edge, and cloudEnable offline/online operation, observability, fleet management, and secure enterprise integrationCross‑Functional LeadershipPartner with Product Management, hardware/software engineering, performance teams, and customer engineeringFeed real‑world deployment insights into platform, SDK, and roadmap improvementsRepresent Qualcomm in customer workshops and industry forumsTechnical ProfileStrong system‑level expertise in IoT, embedded systems, and Edge AIHands‑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 inferenceConnectivity knowledge: Wi‑Fi, Bluetooth, Ethernet, LTE/5GPreferred ExperienceDelivering production IoT or Edge AI systems in customer‑facing rolesVertical exposure in industrial, smart cities, retail, healthcare, logistics, or public sectorHybrid edge/cloud architecturesExecutive‑level communication and product roadmap influence through deploymentsWhat'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 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.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.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 applicati