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...
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What We Do
NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As a world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 employees in more than 30 countries and posted revenue of $13.21 billion in 2022. Find out more at www.nxp.com. Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA
