Qualcomm AI/ML Algorithms Engineer Senior 

China, Beijing, Beijing 

190417669

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

The R&D work responsibility for this position focuses on the following

• Algorithms research and development in the area of Generative AI, LVM, LLM, Multi-modality

• Efficient inference algorithms research and development, e.g. batching, KV caching, efficient attentions, long context, parallel decoding

• Advanced quantization algorithms research and development for complex generative models, e.g. GPTQ, Aumatic mixed precision, llama.cpp,

• Model compression, lossy or lossless, structural and neural search, distillation.

• Optimization based learning and learning based optimization.

• Generative AI Systems prototyping, e.g. AI agent.

• Apply solutions toward systems innovations for model efficiency advancement on device as well as in the cloud.

• Python, Pytorch programmer, C/C+ Preferred Qualifications:

• Master's degree in Computer Science, Engineering, High Performance Computation, Information Systems, or related field. PHD's degree is preferred.

• 3+ years of experience with Machine Learning algorithms or systems engineering or related work experience.

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.

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.

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

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, Information Systems, or related field. PHD's degree is preferred.

• 2+ years of experience with Machine Learning algorithms or systems engineering or related work experience.

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.