This is an exciting and unique opportunity to work with highly talented Linux OS architecture and developments teams and be a leader in the definition of the cutting-edge technology for the Automotive AI applications.
What will your job look like?
Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.
All you need is:
- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.
Very strong experience in the Linux Kernel architecture, OS Internals and subsystems (Memory Management, IO, Storage, Networking)
Deep understanding of PCIe standard, topologies and it’s applications.
Very good understanding of HW architecture and high bandwidth applications.
Strong experience in Performance Analysis and Debugging techniques.
Experience with HW architectures (MIPS & RISCV) and their implementation in the operating system is a big advantage.
Experience in the user space is a good advantage.
Skills Required
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or Computer Science.
- Very strong experience in Linux Kernel architecture, OS internals and subsystems (Memory Management, IO, Storage, Networking).
- Deep understanding of the PCIe standard, topologies and its applications.
- Very good understanding of hardware architecture and high bandwidth applications.
- Strong experience in performance analysis and debugging techniques.
- Experience with HW architectures (MIPS & RISCV) and their implementation in the operating system.
- Experience in user space.
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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