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:
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You will be part of team that develops EyeQ® SoC Performance Modeling environment and emulators
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You will work on SOC performance analysis and optimizations.
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You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
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You will be working on HW performance analysis and tuning, and influence future Mobileye EyeQ® SoC design.
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You will have the opportunity to work on open-source simulation and profiling tools and adopt them to Mobileye's needs.
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You will work closely with HW architects and SW/Algorithms developers.
All you need is:
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BSc in Computer-Science, Computer Engineering or Electrical Engineering
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3+ years of experience in embedded systems programming with C++ - Must
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Experience with SOC performance analysis- Advantage
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Knowledge in shell scripting and Python - Advantage
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Strong communication, co-working, and listening skills - Advantage
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Experience working with SystemC – Advantage
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Understanding the SOC architecture - Advantage