Careers at Mobileye

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Jerusalem

Full time

Mobileye's Autonomous Driving & ADAS group in Jerusalem is at the forefront of developing innovative solutions for autonomous vehicles. Our team designs hardware-specific, highly optimized firmware for deep learning, computer vision, and sensor fusion applications that run efficiently in autonomous driving environments. Working closely with cutting-edge algorithms and seeing your code implemented in production vehicles, you’ll be part of a dynamic team shaping the future of mobility. Role Overview: We are seeking a talented Firmware/Embedded Software Engineer with expertise in computer vision, deep learning, and low-level firmware development. This role involves designing, optimizing, and implementing high-performance functions targeting CPUs and dedicated HW accelerators, ensuring real-time performance and efficiency in autonomous vehicles.

What will your job look like:

Design, develop, test, and optimize autonomous vehicle software components based on internal and external requirements.
Write highly optimized code for specific processors and hardware accelerators.
Leverage advanced ML/DL algorithms, computer vision, and sensor fusion techniques.
Analyze workloads, identify bottlenecks, and suggest improvements for performance enhancement.
Collaborate with algorithm developers to define and implement optimized data flows.
Integrate code into full system flows, testing on simulators and actual silicon.
Develop and utilize testing infrastructures to validate firmware performance.
Perform low-level optimizations and system analysis to ensure code efficiency in embedded automotive environments.

All you need is:

Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
2+ years of experience in firmware or embedded software development, with proficiency in C/C++.
Strong programming skills in Python and C.
Knowledge of hardware architectures, operating systems, and system optimization.
Excellent communication skills in English (both oral and written).
Experience with DSP, GPU, SIMD programming, and hardware accelerators.
Background in machine learning, deep learning, computer vision, or image processing.
Familiarity with low-level code optimization, parallelization, and performance profiling.
Good math and algorithmic skills.

Apply now