Lead Engineer - Compilers

Overview

• 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 More information about NXP in India..