Hardware Architect

Job Description

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 Bachelors or Masters 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!