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.
Work closely with customers to support and enable embedded 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
Create communication plan and processes to effectively prioritize customers, issues and features
Demonstrated ability to support customers
Customer first attitude, track record of root-cause analysis and fixing a problem for good
Bachelor’s Degree in Computer Science or Electronics plus 5+ years of experience
Experience in building embedded software applications
Experience programming in Python, C, C++
Experience in vision frameworks like OpenCV, gstreamer, OpenCL etc.
Excellent problem-solving skills
Excellent communication skills
Strong analytical and quantitative skills
Experience with video/multimedia/image processing software development
Exposure to Neural Networks, AI/ML/DL models, training, frameworks like TensorFlow, Caffe, PyTorch
Experience with Driver development in Linux, MacOS or Windows platforms
Experience at debug of hardware
Ability to work both independently and in highly collaborative team environments
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!
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.
Work on the latest and most innovative Edge AI technologies and products from Kinara.
Work closely with the customer and partners in understanding the customer needs and participate in
defining the features for Kinara products.
Provide internal and customer training to use the Kinara products.
Answer incoming questions about the Kinara products and their capabilities and provide demos, testing,
and debugging customer applications.
Demonstrating Kinara products, understanding customer problems and feasibility, and working on
implementation choices
Developing demos showcasing the Kinara products and participating in symposiums.
Installing and training customers on SDK and Kinara HW products.
Preparing reference design and development systems for the customer, reviewing customer-facing materials
and releases.
Supporting customers in learning the development environment.
Technical mediation between customers and Engineering teams, answering customer questions.
Master’s degree or equivalent in Computer Science, Electronics Engineering, Electrical Engineering,
Computer Engineering, Mathematics, or related field.
A solid understanding of embedded software and Linux.
Good reading and writing proficiency.
A solid understanding of AI networks and frameworks like TensorFlow, Pytorch, Caffe, and ONNX.
Experience in camera systems, image processing or computer vision, or both.
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!
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 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.
New Digital Circuit/board design, debugging/verification of a hardware product.
New/alternate component selection and qualification during product design.
Work with component engineering, PCB layout, and mechanical teams during the product’s development phase
and ensure they meet the design standards.
Work with prototype vendors in developing protos and designing the product for manufacturability.
Understand various Agency certification requirements (FCC/CE/UL etc.) and support the teams in getting
the product agency certified.
Leverage EMI/EMC concepts to debug issues, if any, and support Agency certification by providing required
design artifacts.
Work with ASIC hardware and S/W teams on a need basis during the product’s development phase.
Participate in design reviews during various phases of product development.
Should take up overall responsibility of the product from design to mass production.
BTech/MTech in EE/ECE with any level of experience.
Basic understanding of C programming language.
Have a deep understanding of HW design flow, including architecture, design, verification, prototyping,
timing analysis, and characterization.
Excellent problem-solving skills.
Excellent communication skills.
Demonstrate ability to support customers.
Experience in developing products for the AI domain.
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.
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!
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.
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.
BTech/MTech in EE/CS 4+ years of experience.
Experience in building embedded software applications.
Experience programming in Python, C, and C++.
Experience in vision frameworks like OpenCV, GStreamer, OpenCL, and so forth.
Excellent problem-solving skills.
Excellent communication skills.
Experience with video/multimedia/image processing software development.
Exposure to Neural Networks, AI/ML/DL models, training, and frameworks like TensorFlow, Caffe, and
PyTorch.
Experience with Driver development in Linux, macOS, or Windows platforms.
Experience in debugging hardware.
Ability to work both independently and in highly collaborative team environments.
Ability to learn new tools and concepts quickly.
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.
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!
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.
Work closely with customers to support and enable embedded 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
Create communication plan and processes to effectively prioritize customers, issues and features
Work closely with customers to support and enable embedded 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
Create communication plan and processes to effectively prioritize customers, issues and features