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). 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.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future our company's EyeQ SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.
Requirements: BSc in Computer-Science, Computer Engineering or Electrical Engineering
3+ years of experience in C/C++ programming
Experience with SOC performance analysis
Knowledge in shell scripting and Python
Strong communication, co-working, and listening skills
Experience working with SystemC Advantage
Understanding the SOC architecture - Advantage
Apply now.
This position is open to all candidates.