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.
  
  
  

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 disability-accomodations@qualcomm.com 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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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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.

Pay Range And Other Compensation & Benefits

$108,300.00 - $162,500.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.