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

We are seeking a highly skilled and experienced Hardware Architect to join our dynamic team. The ideal
candidate will have a strong background in hardware architecture, particularly in writing architectural models and
conducting performance and power analysis of chips. In addition to collaborating closely with our hardware team, the
successful candidate will also work with our software department, which focuses on compilers, runtime software, and
kernel software, to ensure cohesive and efficient chip design and functionality.

This is what you are responsible for

Architecture Modeling:

• Develop architecture models for AI chips.

• Collaborate with cross-functional teams to ensure models accurately reflect design specifications and requirements.

• Utilize industry-standard tools and methodologies for architecture modeling.

Performance Analysis:

• Conduct in-depth performance analysis to identify and resolve bottlenecks in AI chip designs.

• Use simulation and analytical methods to predict and enhance chip performance.

• Work with software teams to validate performance models with real-world applications and workloads.

Power Analysis:

• Perform detailed power analysis to ensure AI chips meet stringent power consumption targets.

Necessary Qualifications:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field

• Minimum of 8 years of experience in hardware architecture/design of silicon chips

• Strong understanding of computer architecture principles and AI chip design.

• Proficiency in C/C++/Verilog.

Preferred Qualifications:

• Excellent analytical and problem-solving skills.

• Strong communication and teamwork abilities.

• Ability to work in a fast-paced, collaborative environment.

• Detail-oriented with a focus on delivering high-quality results.

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!