**Company**:Qualcomm Intl Inc., Mexico Branch Office
**Job Area**:Engineering Group, Engineering Group > Software Applications Engineering
**General Summary**:
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 general 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.
- Ability to speak fluent Portuguese and Englis h
- Excellent communication skills (verbal, presentation, written).
**Preferred Qualifications**
- 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.
- Have knowledge in on-device AI models deployment is a plus.
- Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) is a plus.
- Background with Qualcomm AI platforms and heterogenous acceleration; familiarity with on ‑ device inference and memory/power budgeting.-
- 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.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
If you would like more information about this role, please contact Qualcomm Careers.

📌 Ai Software Applications Engineer (Ciudad de México)
🏢 Qualcomm
📍 Ciudad de México