AI Research Engineer
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Software Engineering
In short
Qualcomm AI Research is seeking world-class algorithm engineers in general domain machine learning, especially deep learning and generative AI. This role involves researching and developing advanced machine learning technology for state-of-the-art networks to run on devices with limited resources, contributing to cutting-edge research and technology deployment worldwide.
Responsibilities
- Algorithms research and development for efficient generative AI, LLM, LVM, Multi-modality
- Develop efficient inference algorithms, e.g. batching, KV caching, efficient attentions, long context, speculative decoding
- Develop advanced quantization algorithms for complex generative models, e.g., gradient/non-gradient based optimization, equivalent/non-equivalent transformation, automatic mixed precision, hardware in loop
- Research model compression, lossy or lossless, structural and neural search
- Explore optimization based learning and learning based optimization
- Prototyping generative AI systems
- Apply solutions toward system innovations for model efficiency advancement on device as well as in the cloud
- Programming in Python and Pytorch
Requirements
- 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.
Desired 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.
Benefits
- Opportunity to participate in cutting edge research
- Contribute technology that will be deployed worldwide in industry-leading devices
- Be part of a multi-disciplinary talented team working on on-device generative AI optimization
- Collaborate in a cross-functional environment spanning hardware, software and systems
- See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices.
- Qualcomm is an equal opportunity employer.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
#AI#Machine Learning#Deep Learning#Generative AI#LLM#LVM#Quantization#Model Compression#Optimization#Python#Pytorch