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 systehigh-performanceormance 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
• Demonstrated ability to build Deep Learning / Machine Learning applications using C/C++/CUDA
• Knowledge of GPU and/or DSP programming for mobile devices would be a plus
• Experience with Python programming or Deep Learning frameworks such TensorFlow, PyTorch an asset