Company
Qualcomm Engineering FZ LLC
Job Area
Engineering Group, Engineering Group > Software Applications Engineering
General Summary
About Qualcomm IEIoT
Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine highperformance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The IEIoT business unit enables secure, scalable, lowlatency intelligence across ondevice, onpremises, and hybrid cloud deployments.
Role Summary
The IoT Solutions Engineering Lead is a senior, handson technical leadership role responsible for defining, architecting, and delivering endtoend 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 endtoend systems spanning ondevice 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 usecases and KPIs into systemlevel technical architectures
- Lead executivelevel architecture reviews and roadmap alignment
- Collaborate with OEMs, ISVs, system integrators, and cloud partners
- Support POCs, pilots, and commercial launches
HandsOn Prototyping & Validation
- Lead system bringup, 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 endtoend behavior across latency, throughput, accuracy, power, and cost on Qualcomm AIenabled platforms
Hybrid Edge AI Architecture
- Design distributed AI architectures across ondevice, onprem edge, and cloud
- Enable offline/online operation, observability, fleet management, and secure enterprise integration
CrossFunctional Leadership
- Partner with Product Management, hardware/software engineering, performance teams, and customer engineering
- Feed realworld deployment insights into platform, SDK, and roadmap improvements
- Represent Qualcomm in customer workshops and industry forums
Technical Profile
- Strong systemlevel expertise in IoT, embedded systems, and Edge AI
- Handson 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: WiFi, Bluetooth, Ethernet, LTE/5G
Preferred Experience
- Delivering production IoT or Edge AI systems in customerfacing roles
- Vertical exposure in industrial, smart cities, retail, healthcare, logistics, or public sector
- Hybrid edge/cloud architectures
- Executivelevel 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 [Confidential Information] 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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