IoT Solutions Architect - Abu Dhabi, UAE
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Key skills for this role
About the Role
Qualcomm seeks a senior IoT Solutions Architect to define, architect, and deliver end-to-end IoT and Edge AI solutions. The role involves solution architecture, customer engagement, hands-on prototyping, and cross-functional leadership.
Key Skills for This Role
Responsibilities
- 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
- 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
- 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
Requirements
- 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 with 7+ years, or PhD with 6+ years)
- 4+ years of experience with Programming Language such as C, C++, Java, Python, etc.
- 4+ years of experience with debugging techniques
- 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
Full Job Posting
Company Overview
- 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
Key Responsibilities 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
Key Responsibilities 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
Key Responsibilities 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
Key Responsibilities 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
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.
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