Generative AI Algorithms Engineer

Company : Qualcomm China

Job Area :

Engineering Group, Engineering Group >

Machine Learning Engineering

General Summary : About us :

We are Qualcomm AI Research that are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we\'re pushing the boundaries of what\'s possible and shaping the future of AI. Welcome to visit our website at AI Research Areas | Intelligence on Devices | Qualcomm.

Key Responsibilities

• Lead or contribute to the end-to-end training, fine-tuning, and quantization of LLM / LVM / LMM models, especially in low-bit quantization
• Design and implement scalable, robust systems and engineering pipelines for model training, evaluation, quantization (PTQ and QAT), and can support customers\' on-device deployment.
• Algorithms research and development in VLM, VLA and other multimodality models, diffusion-based methods for image and text generation, efficient computation (MoE, LoRA or others).
• Experience of multimodal inference and training, such as image generation, 3D, video generation, editing, ViT and other models.
• Efficient inference algorithms research and advanced quantization, e.g. batching, KV caching, efficient attentions, long context, speculative decoding, GPTQ, SpinQuant, automatic mixed precision.
• Apply solutions toward systems innovations for model efficiency advancement on device as well as in the cloud.
• Research and integrate state-of-the-art algorithms in generative AI, quantization techniques, knowledge distillation, model compression, and efficient inference.
• Build, maintain, and automate test suites and profiling / debugging tools to validate and benchmark model performance and deployment effectiveness.
• Document methodologies and results, and present key findings to stakeholders.

Preferred Skills and Experience :

Minimum Qualifications :

OR

Master\'s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Qual 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.

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.

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