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
Necessary qualifications/Requirements
Preferred qualifications
Work culture

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!

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.

About the Role

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.

This is what you are responsible for
Necessary qualifications/Requirements
Preferred qualifications but not necessary
What you will gain

You will gain exposure to various computer vision NW models, work closely with customers, and get experience in
deep learning applications.

Work culture

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!

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.

About the Role

As an HW engineer, you are responsible for board design, verification of a hardware product, working closely with
other functional teams during development, and working with vendors and agencies during product development.

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.

This is what you are responsible for
Necessary qualifications/Requirements
Preferred qualifications but not necessary
What you will gain

You will get an opportunity to work on AI system products/solution design and development and work closely with
the customer in providing a solution.

Work culture

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!

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.

About the Role

Work closely with customers to support and enable Deep Learning software and application development.

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.

Necessary qualifications/Requirements
Preferred qualifications but not necessary
What you will gain

You will get experience with AI accelerator chips, Kinara AI SDK, and AI solutions. You will work with various
customer models and learn about developing AI end-to-end pipelines, and exposure to OpenCV and GStreamer
frameworks.

Work culture

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!

Sr Systems And Applications Manager

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
Necessary qualifications/Requirements
Preferred Qualifications
Work culture

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!