IOT Software Applications Engineer

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 global talent in applied edge AI to support our customers’ digital transformation across many verticals and industries.

In this position you will be involved and participate in building best-in-class solutions and tools needed to enable state-of-the-art technologies for next generation mobile/embedded machine learning platforms for robotics, IOT devices and datacenter. In this role, you will work in a dynamic environment, be part of a multi-disciplinary team, collaborate with internal teams, work with popular neural network frameworks, and understand the architecture of Qualcomm’s SOC and ML HW accelerators. You will support applications using machine learning tools and frameworks that enable making models smaller and run efficiently on all edge devices.

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 English
• 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.
• Knowledge 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.
• Skills in neural network programming, video/image processing, and application development.
• Proficiency in machine learning data pipelines, data management, and both backend and frontend applications.
• 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.
• Assist in developing and integrating generative AI (including LLM) features into Qualcomm platforms applications.
• 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.

Applicants: 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 [email protected] 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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