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Job Area:
Engineering Group, Engineering Group > Software Engineering
If you think you have what it takes to be part of team that develops world class ML applications and systems software and your skill set matches with the below job description, we will be happy to discuss with you further.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Excellent analytical, development, and debugging skills
Hands-on experience in ML/AI tools development involving Deep Learning frameworks like Keras, TensorFlow, ONNX, PyTorch, Caffe/Caffe2, etc…
Understanding of model architectures of various CV, NLP and LLMs
Strong understanding and experience in working on inference software like graph optimization, Quantization, pruning and compression techniques etc. is a plus
Understanding of performance and accuracy metrics for different class of neural NWs
Hands-on Experience with Object Orientated Design, design patterns
Strong python / C++ implementation skills (Skill level > 7/10)
Strong in Data structures & Algorithms (Skill level > 7/10)
Desirable Skills and Aptitudes
Experience with GPUs, machine learning accelerators and related software is 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
Hands on use of version control tools like GIT, GITHUB
Qualifications
· Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
· 6 – 8 years Software Engineering or related work experience.
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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