Qualcomm Jobs

Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

General summary

Qualcomm AI Research is looking for world-class AI software engineers for enabling generative AI on device. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and user friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit ( https://github.com/quic/aimet ) to enable state-of-the-art networks to run on devices with limited power, memory, and computation. Members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary team that has repeatedly won the major LVM/LLM competitions, such as the world first on device text to image generation, 7B language model on device etc. 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 intelligent devices, such as smartphones, autonomous vehicles, robotics, and IOT devices.

Responsibility:

• Development of end-2-end embedded AI software to run quantized neural network models on Qualcomm leading edge hardware with optimal resource

• Design and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiency

• Collaborating with AI Processor Hardware team and high quality implementation of new ML operators/layers to optimal utilizing new capabilities in next-gen AI processor

• Development of debugging/profiling tools and user-friendly SDK for customers to rapid deployment of their new use cases

Preferred Skills and Experience:

• Related field at least 3 years of work experience.

• Excellent programming capability with C/C++ and Python

• Have knowledge on deep learning and frameworks PyTorch

• Strong software design, development, and debugging skills

• Knowledge in Android programming is plus

• Optimization of algebraic operations in algorithms for HW cores is a plus

• Knowledge in neural network model quantization is a big plus

• Experience on Qualcomm QNN SDK is a big 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.

All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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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If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification