Developer - High Performance Computing

Responsibilities:

• Design and build prototypes, proof of concepts and demos of Deep Learning applications
• Develop and optimize performance-critical Deep Learning applications targeting resource-constrained devices

What you’ll bring to the team:

• Undergraduate or graduate degree in Computer Engineering or a related field
• Relevant experience in embedded software development Strong knowledge of C/C++/CUDA programming concepts with a focus on parallel programming
• Experience in low-level software development for real-time system high-performance computing
• Experience developing applications targeting SIMD instruction sets (ARM Neon, Intel AVX) is an asset
• Experience optimizing and profiling performance-critical applications
• Knowledge of Deep Learning / Machine Learning and demonstrated ability to build Deep Learning / Machine Learning applications using C/C++/CUDA
• Knowledge of GPU and/or DSP programming for mobile devices is an asset
• Experience with Python programming or Deep Learning frameworks such TensorFlow and PyTorch 

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