À propos de ce poste Lead Engineer - Compilers chez NXP Semiconductors
Who we are
Kinara is a Bay Area-based venture backed company. Our architecture is based on research done at Stanford University by Rehan Hameed and Wajahat Qadeer under the guidance of legendary Prof. Mark Horowitz (http://www-vlsi.stanford.edu/~horowitz/) and Prof. Christos Kozyrakis (http://csl.stanford.edu/~christos/).
What we do
Our game-changing AI solutions revolutionize what people and businesses can achieve. Ara inference processors combined with our SDK deliver unrivaled deep learning performance at the edge to accelerate and optimize real-time decision making where every millisecond is critical, and power efficiency is a must. Kinara solutions embed high-performance AI into edge devices to create a smarter, safer, and more enjoyable world. Edge AI is on the brink of a boom, and Kinara is looking forward to playing a significant role in it.
This is what you are responsible for
- Will be part of a highly talented global team developing neural network systems.
- Will have the opportunity to develop the application and system software for a cutting-edge AI silicon.
- Member of a software engineering team, you will design and implement compilers, translators for AI computing system
- Work closely with ASIC and hardware teams, propose architectural features and develop software for the system and build the highest perf/watt system
Necessary Qualifications
- Excellent knowledge of Python/C/C++, data structures and algorithms.
- Experience in neural network frameworks like TensorFlow, ONNX, Caffe, PyTorch etc. is a plus
- BTech/MTech with 10+ years of experience in software development
