Customer Engineer - AI / ML

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Software Applications Engineering

General Summary:

Qualcomm is a technology innovator focused on enabling next-generation experiences through advanced compute and AI. In this Customer Engineer role, you will work with device, application and solution partners to integrate, optimize and deploy AI experiences so they run efficiently on Snapdragon platforms using CPU, GPU, and NPU acceleration. You will help take solutions from prototype to commercialization by providing hands-on technical guidance, integration, performance analysis, and deployment support.

Must Have Experience

• Embedded software development (integration, optimization, and debugging).

• C/C++ and Python proficiency.

• Experience developing, training, or deploying models using an ML framework (e.g., PyTorch or TensorFlow).

Preferred Qualifications

Ideal candidates possess the following qualifications:

• 2+ years of hands-on experience with embedded platforms.

• 2+ years of experience with operating systems such as QNX, Linux, or Android.

• Familiarity with machine learning accelerators or hardware blocks for embedded AI, including capabilities in inference optimization and edge deployment.

• Proficiency with AI/ML frameworks and libraries (e.g., OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2, Gstreamer pipelines).

• Experience applying ML techniques in computer vision and NLP (including LLMs); experience with tuning generative models and/or reinforcement learning is a plus.

• Skilled in building and maintaining ML/MLOps pipelines for reliable training, evaluation, and deployment.

• Strong understanding of neural network fundamentals (e.g., linear algebra, quantization, and common deep learning architectures).

• Experience with debugging tools (e.g., JTAG, kernel tracing, GDB) for troubleshooting embedded systems and AI applications.

• Strong communication skills with a customer-focused, cross-functional collaboration mindset.

Principal Duties and Responsibilities

• Support deployment of computer vision and generative AI models (e.g., LLMs and vision-language models) on Snapdragon platforms, helping customers move from development to commercialization.

• Support customer engagements through AI workload optimization, deployment guidance, and issue investigation/resolution.

• Work with the team lead to plan project activities, own deliverables through completion, and maintain high quality standards.

• Provide internal enablement (training, documentation, and hands-on support) and help resolve technical issues as they arise.

• Collaborate cross-functionally to identify, troubleshoot, and resolve technical challenges across teams and stakeholders.

• Improve tools, workflows and documentation by identifying gaps, implementing enhancements, and measuring impact.

• Assist in developing and integrating generative AI (including LLM) features into Snapdragon-targeted applications.

• Implement model improvement techniques (quantization, pruning, graph transforms) to enhance performance and efficiency on-device.

• Perform machine learning model benchmarking (both accuracy and latency) and functional analysis meet customer KPIs

• Execute project deliverables end-to-end, including implementation, feature testing, and system verification.

• Propose and prototype new product/feature concepts, validating feasibility and impact.

• Drive system-level issue investigation to determine root cause and clearly communicate test and debug results to partners and internal teams.

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 Engineering, Information Systems, Computer Science, or related field.

• 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.
• 1+ year of any combination of academic and/or work experience with debugging techniques.