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

• Physical Design of complex data path and control blocks
• Develop new techniques and flows to rapidly prototype hardware blocks
• Develop flows that allow for detailed power estimation
• Work with design team to understand placement and recommend implementation options
• Interact and engage with external teams to drive as well as deliver subsystems leading to chip tapeout

Preferred qualifications

• BTech/MTech EE/CS with 8+ Years of Physical Design experience.
• Extensive knowledge of Automated synthesis, Technology mapping, Place-and-Route and Layout techniques
• Physical verification and quality checks like LVS, DRC, IR drop
• Clock tree synthesis, Power mesh design, Signal integrity.
• Latest foundry nodes up to 7nm
• Hands on experience with Synthesis, Automatics Place-and-route, Full Chip STA, IO Planning, Full Chip Floorplan, Power Mesh creation, Bump Planning, RDL Routing, Low power design flows
• Strong understanding of advanced digital design architectures and clocking structures to help manage timing and physical design constraints
• Ability to work with designers to analyse and explore physical implementation options for complex designs.
• Basic knowledge of DFT techniques and implications on Physical design
• Desired tool familiarity
• Industry standard PnR, Synthesis etc tools, TCL Scripting
• Strong communication skills and good team player