**Company**:Qualcomm Intl Inc., Mexico Branch Office
**Job Area**:Engineering Group, Engineering Group > Software Applications Engineering
**General Summary**:
Qualcomm is a global leader in connected intelligent edge, focusing on AI, edge computing and connectivity. Our fast ‑ growing Industrial and Embedded IoT (IE ‑ IoT) BU leads the transformation of industries through intelligent edge solutions that combine connectivity, compute, and AI. We expand our integral talent in applied edge AI to support our customers ’ digital transformation across many verticals and industries.
**Minimum Qualifications**
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ 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 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
- Strong communication and interpersonal skills, high motivation, the ability to learn quickly and must be a self-starter.
- 2+ years of work experience with Programming Language such as C, C++, Python, etc.
- Experience with embedded systems - exposure to one or more of Linux, Yocto, Ubuntu based systems.
- Proficiency in deep learning and machine learning frameworks like TensorFlow, TFLite, PyTorch, Onnx and deployment ‑ oriented inference workflows.
- 1+ year of any combination of academic and/or work experience with device debugging techniques.
- 4 + years of e xperience delivering customer ‑ facing IoT or Edge AI solutions that moved beyond PoC to pilot or production.
- Ability to speak fluent Spanish and Englis h
- Excellent communication skills (verbal, presentation, written).



4 + years of e xperience
**Preferred Qualifications**
- E xpertise in AI Solution and on-device AI technologies.
- Experience with software engineering foundations (Python/C++), containerization, AI accelerators, and profiling tools; coupled with fluency in modern inference/runtime stacks.
- K nowledge of machine learning, deep learning, quantization, and optimization.
- Experience with different Neural Network architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
- K nowledge in on-device AI models deployment.
- Background with Qualcomm AI platforms and heterogenous acceleration; familiarity with on ‑ device inference and memory/power budgeting.
- Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) is a plus.-
- Theoretical knowledge of hybrid AI designs : placing workloads across device/edge/cloud; knowledge of data pipelines, streaming/vision services, vector/RAG stores, feature stores, and observability.
- Experience with system ‑ level understanding of IoT, embedded systems, Edge AI deployments and AI On-Prem solution.
- Background in computer vision, video analytics, or edge AI inference.
- Experience delivering customer ‑ facing IoT or Edge AI solutions that moved beyond PoC to pilot or production.
- Experience with multimedia frameworks (Android, Linux, any other OS). Gstreamer experience a plus.
**Principal Duties and Responsibilities**




- Support deployment of computer vision and generative AI models (e.g., LLMs and vision-language models) on Qualcomm platforms (IoT, Datacenter), helping customers move from development to commercialization.
- Support pre-sales and post-sales customer engagements as a solution engineer, translating business requirements into technical solutions, optimizing AI workloads, providing deployment guidance, and driving issue investigation and resolution.
- Translate customer requirements, use cases, and business needs into technical solutions leveraging Qualcomm AI engines (AI accelerators) and SoCs.
- Provide internal enablement (training, documentation, and hands-on support) and help resolve technical issues as they arise.
- Collaborate cross-functionally with internal teams and external partners (OEMs, ISVs, system integrators, and cloud providers) to align requirements and validate end-to-end solutions.
- Improve tools, workflows and documentation by identifying gaps, implementing enhancements, and measuring impact.- Perform machine learning model benchmarking (both accuracy and latency) and functional analysis meet customer KPIs.
- Act as a technical lead for customer engagements, supporting projects from discovery through solution selection, PoC, pilot, early production and commercial solution launches.
**Minimum Qualifications**:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ 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 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineeri

📌 Hardware Applications Engineering (Ciudad de México)
🏢 Qualcomm
📍 Ciudad de México