ML Software Engineer V

Duration:  12 Months

Implement, optimize and deploy machine learning models and algorithms that solve complex problems related to computer vision, speech, natural language processing, and other areas of artificial intelligence, specifically on resource-constrained devices.

  • Code ML algorithms for CV and Audio application on customized processors and accelerators in C/C++ for performance, latency, and memory.
  • Develop and debug software in a real-time, embedded, multiprocessor, multi-interface environment.
  • Work closely with cross-functional teams, such as HW Architects, FW Engineers, Algorithm and Application Engineers across multiple disciplines (Vision, Audio) to identify opportunities for optimizing machine learning solutions
  • Minimum Qualifications:
  • Bachelor’s degree in electrical engineering, computer science or equivalent relevant experience.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, and model optimization, training and quantization toolkits.
  • 5+ years of experience in software development for complex real-time systems, imaging and CV algorithms or related signal processing fields using C/C++.
  • Solid modern C/C++ programming and refactoring skills and able to understand and debug heavily threaded code.
  • Preferred Qualification:
  • MS or PhD in EE/CS
  • Experience with deep learning architectures such as CNNs, RNNs, or GANs, particularly for deployment on embedded devices.
  • Theoretical knowledge in the field of machine learning, and computer vision or Audio pipeline and algorithms such as capture, render, codecs.
  • Experience programming in SIMD, VLIW, and/or Vector processors and Familiarity with the custom ISA extensions
  • Experience with low-level SW optimization at instruction level, loop optimization, vectorization, data organization and caching
  • Prior experience with ARM or Risc-V CPUs, or Tensilica DSP architectures
  • Familiarity with open source machine learning libraries and frameworks and experience with machine learning pipelines for data processing, model training, and deployment.

Must-Have Skills:

  • C++, Python required
  • Background in Electrical engineering/computer science, past experience in CPU- DSP architectures, ARM, Silica, x 86, low level software optimization.
  • Machine learning, Pytorch similar machine learning framework.

Nice to Have:

  • Computer vision released knowledge and experience