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/).
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.
As a Field Application Engineer, you will have to collaborate with development, customer, and sales. Your goal is
to generate technical solutions and successfully implement them for the customer. You will use the existing
products and concepts to develop customer system solutions.
Develop software applications to demonstrate Deep Learning use cases primarily in vision analytics workloads.
Create application notes and other documentation on software tool flows.
Performance and Power measurement and analysis of Embedded AI systems.
You will gain exposure to various computer vision NW models, work closely with customers, and get experience in
deep learning applications.
We at Kinara have an environment that fosters innovation. Our team has technology experts who understand the big
picture and mentors who coach passionate professionals to work on the most exciting challenges. We share
responsibilities in everything we do, where every point of view is valued. Join us!
Now tell us your story. We are looking forward to reviewing your application.
Make your mark!
Our team is happy to answer any questions. Please fill out the form below and we’’ll get back to you soon.