Senior Machine Learning Engineer
at Qualcomm
Posted 10 hours ago
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- Compensation
- Not specified
- City
- Not specified
- Country
- China
Currency: Not specified
Develop end-to-end AI tools, models, and software for agentic AI systems on Qualcomm's leading-edge hardware with optimized resource usage. Design and implement end-to-end test strategies and frameworks for complex agentic AI systems, and create automated test suites using modern testing tools. Develop debugging and profiling tools and the Qualcomm SDK to enable rapid deployment of quantized models on device, participate in code reviews, and collaborate with cross-functional teams to understand requirements and improve test coverage.
Company:
Qualcomm China
Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
Responsibility:
- Development of end-to-end AI tools, models or software for agentic AI system on Qualcomm leading edge hardware with optimal resource
- Design and develop end-to-end test strategies and frameworks for complex agentic AI system
- Create and maintain automated test suites using modern testing tools and frameworks
- Development of debugging/profiling tools and Qualcomm SDK to rapid deployment quantized models on device
- Participate in code reviews and contribute to improving test coverage
- Collaborate with cross-functional teams to understand requirements and design test approaches
- Analyze test results and provide detailed feedback to development team
Preferred Skills and Experience:
- 2 years of work experience in relevant fields
- Hands-on experience with generative AI models, including LLMs and LVMs
- Excellent programming capability with software design, development, and debugging in Python (C/C++ is a plus)
- Knowledge in deep learning frameworks like PyTorch or Tensorflow
- Knowledge in transformers and Huggingface library
- Experience with Agentic AI pipeline and workflow
- Experience with Qualcomm QNN SDK is a plus
- Practical experience with Release + CI/CD Pipeline for end-to-end integration, regression, stress, performance
- Familiarity with device database such as Meta FAISS, SQL dB is a plus
- Experience with Android programming and trace analysis is a plus
- Experience using AI coding assistants such as Claude code, Codex, or Cursor is a plus
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
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