<div>The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV).</div><div> Performance models and profiling tools are essential components of the EPG infrastructure — they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.</div><h3>What will your job look like:</h3><ul><li>You will be part of team that develops EyeQ® SoC Performance Modeling environment and emulators</li><li>You will work on SOC performance analysis and optimizations.</li><li>You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.</li><li>You will be working on HW performance analysis and tuning, and influence future Mobileye EyeQ® SoC design.</li><li>You will have the opportunity to work on open-source simulation and profiling  tools and adopt them to Mobileyes needs.</li><li>You will work closely with HW architects and SW/Algorithms developers.</li></ul><h3>All you need is:</h3><ul><li>BSc in Computer-Science, Computer Engineering or Electrical Engineering</li><li>3+ years of experience in <b>embedded systems programming with C++ - Must</b></li><li>Experience with SOC performance analysis- Advantage</li><li>Knowledge in shell scripting and Python - Advantage</li><li>Strong communication, co-working, and listening skills - Advantage</li><li>Experience working with SystemC – Advantage</li><li>Understanding  the SOC architecture - Advantage</li></ul>