Job Location: Bangalore
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary
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Required Skills and Aptitudes
- Hands-on experience with Deep Learning frameworks like Keras, TensorFlow, ONNX, PyTorch, Caffe/Caffe2, etc…
- Experience/understanding of NN architectures for CV, NLP and NLG models
- Experience with machine learning algorithms and architectures, including CNNs, and RNNs/LSTMs
- Strong python implementation skills (Min. 7/10)
- Strong C++ implementation and OOPS skills (min. 7/10)
- Strong in Data Structures and Algorithms (min. 7/10)
- Experience with GPUs, machine learning accelerators and related software is a plus
- Experience in creating new Neural NW architectures for different use cases and the use of correct datasets, achieving the desired target accuracy
Desirable Skills and Aptitudes
- Understanding of GPU and/or DSP architectures, familiarity with low-level hardware designs or assembly coding a plus
- Knowledge of ML compilers like TVM, GLOW, XLA is a plus
- Knowledge of machine learning runtimes like ONNX Runtime, Pytorch and TF runtimes is a plus
- Strong background in mathematical operations: linear algebra, fast math libraries a plus
- Excellent analytical, development, and debugging skills
Qualifications
- Bachelor’s / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
- 3+ years Software Engineering or related work experience.
- 2+ years experience with Programming Language such as C++, Python.
Minimum Qualifications
Education:
Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems
Work Experiences:
2+ years of Systems engineering or related work experience.
Certifications:
Skills:
Preferred Qualifications
Education:
Work Experiences:
Certifications:
Skills:
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to
accommodationsupport
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If you would like more information about this role, please contact
Qualcomm Careers
.
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