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Qualcomm Deep Learning Systems/Hardware Engineer in San Diego, California

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Ideal candidates for this position will demonstrate the following:

  • PhD or MS degree in Engineering, Information Systems, Computer Science, or related field preferred.

  • 4-6 years Systems or Hardware Engineering or related work experience.

  • Extensive experience in deep neural networks (e.g. CNN, RNN, Attention, ) or deep reinforcement learning.

  • Proficiency in designing, implementing, and training DL/RL algorithms in high-level languages/frameworks (e.g., PyTorch, TensorFlow, Caffe). Designing the network for an embedded device is a plus.

  • Proficiency in designing and implementing hardware accelerators for ML, either in FPGA or ASIC. Experience with FPGA tools such as HLS or Chisel a strong plus.

  • Familiarity with ASIC design flow and PPA (Power, Performance, Area) estimation tools.

  • Track record of research excellence and high-quality publications (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV,).

  • Expertise in at least one of the following fields: Machine learning theory / optimization methods; Model compression / quantization / optimization for embedded devices; Neural Architecture Search / kernel optimization; Computer vision; Audio and speech / NLP; Deep Generative Models (VAE, Normalizing-Flow, ARM, etc.)

Minimum Qualifications:

Artificial Intelligence is changing the world for the benefits of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to deliver power-efficient cognitive computing technologies for enabling the wide deployment of intelligent solutions on all possible devices.

As a part of the R&D Hardware team, you will be involved and participate in various development phases of the state-of-the-art technologies for next generation machine learning system. Qualcomm AI Research is looking for world-class researchers in machine learning and deep learning. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and friendly SW optimization tools to enable state-of-the-art networks to run on devices with limited power, memory, and computation.

In this role you will design, develop & test hardware for research in the area of design space exploration for domain specific ML accelerators. You will work closely with Systems and Software engineers to develop an end-to-end system for finding Pareto optimal curves related to energy, latency, and area.

Qualcomm is committed to hiring and supporting individuals with disabilities. Although this role has some expected physical activity, an inability to perform one or more of the listed physical requirements should not deter otherwise qualified applicants from applying. We will work with you throughout the application and onboarding process to provide reasonable accommodations. Examples of expected physical activity include: frequently transporting between offices, buildings, and campuses up to ½ mile; frequently transporting and installing equipment up to 5 lbs.; performing tasks at various heights (e.g., standing or sitting); monitoring and utilizing computers and test equipment for more than 6 hours a day; and continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.

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.

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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.

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.

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