The Job

AI Customer Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning · Data Science

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In short

As an AI Customer Engineer at Qualcomm in Shanghai, you will optimize AI/GenAI models (LLMs, VLMs) for edge environments, focusing on performance, accuracy, and latency. You will collaborate with internal teams and customers to integrate and deploy these solutions on Qualcomm platforms, troubleshooting issues as they arise.

Responsibilities

  • Work on model optimization techniques such as quantization, pruning, and distillation.
  • Optimize models for on-device / edge environments, including performance, accuracy, memory, and latency.
  • Collaborate with system, platform, and application teams to integrate GenAI into products.
  • Analyze and troubleshoot accuracy, latency, and stability issues in deployed models.
  • Work closely with customers to enable, optimize, and deploy GenAI/AI solutions on Qualcomm platforms.

Requirements

  • 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.
  • 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.
  • 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.
  • 3–5 years of experience in AI/ML software development, including large language models (LLMs), model optimization, and deployment.
  • Strong Python/C/C++ programming and debugging skills.
  • Be familiar with modern GenAI and machine learning frameworks such as PyTorch, ONNX Runtime, and related deployment toolchains.
  • Hands-on experience with Generative AI technologies, including LLM, VLM, with a solid understanding of inference frameworks.
  • Solid experience in model quantization (INT8/INT4) and model deployment on edge devices.
  • Strong problem-solving skills and ability to debug complex system-level issues.
#AI#Customer Engineer#Model Optimization#Deployment#GenAI#LLM#Edge AI
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Company

Qualcomm

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Shanghai, China

Qualification

Bachelor, Master, Doctoral

Applicants

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