ML Systems Engineer

Qualcomm | Bangalore

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


Minimum Qualifications:

  • 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



  • 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.


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