What will you do:
Design and implement C++ solutions for state-of-the-art AI Neural Network accelerators on both PC and DSP platforms
Design and implement software for offline analysis of vision-based neural network models in preparation for runtime inference execution.
Collaborate closely with Architects, Algorithmic and VLSI engineers.
Integrate and debug neural network execution on accelerator hardware and simulator environments.
Profile and optimize neural network execution time within a complex on-chip system architecture.
3-6 years of experience in building high-quality embedded software using C/C++
BSc/MSc in Computer Science, Electrical Engineering, or equivalent.
Proficiency in developing and integrating real-time code within complex on-chip system architectures.
Experience in designing and implementing embedded software based on hardware specifications
Strong debugging and troubleshooting skills with Embedded.
Excellent interpersonal and communication skills, with a proven ability to work well in a team.
Advantages:
Familiarity with neural network open-source frameworks such as PyTorch and TensorFlow.
Experience in data-flow optimization using profiling tools.
Knowledge in computer vision and machine learning.
Experience in C Make project configuration and build.
Proficiency in Python coding.
