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:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 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.

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 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.